Posts Tagged linguistics

Disinflections


I enjoy taking words that have irregular inflections, and inflecting other words the same way — for instance, saying *squoke as the past tense of squeak, analogous with speak and spoke, or even *squought, analogous with seek and sought. Sometimes those disinflections, as I’ve decided to call them, look or sound like other words… for instance, analogous with fly, flew, and flown, I could use crew and crown as past tenses of cry, or boo and bone as past tenses of buy. Indeed, analogous with buy and bought, the past tense of fly could be *flought, but then again, perhaps the present tense of bought could be ‘batch’ or ‘beak’, or ‘bite’, analogous with caught and catch, or sought and seek, or fought and fight.

The Disinflectant app

For a while now, I’ve wanted to make an app to find these automatically, and now that I have a bit of free time, I’ve made a prototype, mostly reusing code I wrote to generate the rhyme database for Rhyme Science. I’m calling the app Disinflectant for now. Here’s what it does:

  1. Read words from a file and group them by lemma.
    Words with the same lemma are usually related, though since this part is using text only, if two distinct lemmas are homographs (words with the same spelling but different meanings) such as bow🎀, bow🏹, bow🚢, and bow🙇🏻‍♀️, then they’re indistinguishable. This part is done using the Natural Language framework (henceforth referred to as ‘the lemmatiser’), so I didn’t write any complicated rules to do this.
  2. Find out the pronunciation of the word, as text representing phonemes.
    This is done using the text-to-speech framework, so again, nothing specific to Disinflectant. The pronunciation is given in phoneme symbols defined by the API, not IPA.
  3. Find all the different ways that words with the same lemma can be transformed into another by switching a prefix or suffix for another. For instance:
Transform typeTransformby analogy with
Spelling suffixy→ownfly→flown
Pronunciation suffixIYk→AOtseek→sought
Spelling prefixe→oeldest→oldest
Pronunciation prefix1AW→w1IYour→we’re

Most prefixes in English result in words with different lemmas, so Disinflectant didn’t find many prefix transforms, and the ones it found didn’t really correspond to any actual grammatical inflection. I had it prefer suffixes over prefixes, and only add a prefix transform if there is no suffix found, so that bus→buses would result in the spelling suffix transform ∅→es and not the prefix transform bu→buse.

Each transform can apply to multiple pairs of real words. I included a way to label each transform with something like ‘past tense’, so the app could ask, ‘why isn’t crew the past tense of cry?’ but didn’t end up filling in any of them, so it just calls them all inflections.

  1. Apply each transform individually to each word, and see whether the transformed version matches another word with a different lemma.
    It could just make up words such as ‘squoke’, but then there would be hundreds of millions of possibilities and they wouldn’t be very interesting to sift through, so it’s better to look for real words that match.

That’s it. Really just four steps of collecting and comparing data, with all the linguistic heavy lifting done by existing frameworks.

The limitations

Before I show you some of the results, here are some limitations:

  • So far I’ve only given it a word list, and not a text corpus. This means that any words which have different lemmas or different pronunciations depending on context (such as ‘moped’ in ‘she moped around’, with the lemma ‘mope’, vs. ‘she rode around on her moped’, with the lemma ‘moped’.) I have code to work with corpora to add homographs to rhyme.science, but I haven’t tried it in this app yet.
  • It’s only working with prefixes and suffixes. So it might think ‘woke’ should be the past tense of ‘weak’ (by analogy with ‘speak’ and ‘spoke’) but won’t generalise that to, say, ‘slope’ as the past tense of ‘sleep’ unless there is another word ending in a p sound to model it on. I could fairly easily have it look for infix transforms as well, but haven’t done so yet.
  • It doesn’t distinguish between lemmas which are spelled the same, as mentioned above.

The results

For my first full test run, I gave it the SCOWL 40 list, with 60523 words, and (after about a day and a half of processing on my mid-2014 MacBook Pro — it’s not particularly optimised yet) it found 157687 disinflections. The transform that applied to the most pairs of actually-related words was adding a ‘z’ sound to the end of a word, as for a plural or possessive noun or second-person present-tense verb ending in a voiced sound. This applies to 7471 pairs of examples. The SCOWL list I used includes possessives of a lot of words, so that probably inflates the count for this particular transform. It might be interesting to limit it to transforms with many real examples, or perhaps even more interesting to limit it to transforms with only one example.

I just had it log what it found, and when a transform applied to multiple pairs of words, pick a random pair to show for the ‘by analogy with’ part in parentheses. Here are some types of disinflections it found, roughly in order from least interesting to most interesting:

Words that actually are related, just not so much that they have the same lemma:

Some words are clearly derived from each other and maybe should have the same lemma; others just have related meanings and etymology.

  • Why isn’t shoppers (S1AApIXrz) with lemma shopper the inflection of shops (S1AAps) with lemma shop? (by analogy with lighter’s → light’s)
  • Why isn’t constraint (kIXnstr1EYnt) with constraint same the inflection of constrain (kIXnstr1EYn) with lemma constrain? (by analogy with shopped → shop)
  • Why isn’t diagnose (d1AYIXgn1OWs) with lemma diagnose the inflection of diagnosis (d1AYIXgn1OWsIXs) with lemma diagnosis? (by analogy with he → his)
  • Why isn’t sieves (s1IHvz) with lemma sieve the inflection of sift (s1IHft) with lemma sift? (by analogy with knives → knifed)
  • Why isn’t snort (sn1AOrt) with lemma snort the inflection of snored (sn1AOrd) with lemma snore? (by analogy with leapt → leaped)

Words that definitely should have had the same lemma, for the same reason the words in the analogy do:

These represent bugs in the lemmatiser.

  • Why isn’t patrolwoman’s (pIXtr1OWlwUHmIXnz) with lemma patrolwoman’s the inflection of patrolwomen (pIXtr1OWlwIHmIXn) with lemma patrolwomen? (by analogy with patrolman’s → patrolmen)
  • Why isn’t blacker (bl1AEkIXr) with lemma black the inflection of blacken (bl1AEkIXn) with lemma blacken? (by analogy with whiter → whiten)

Transforms formed from words which have the same lemma, but probably shouldn’t:

These also probably represent bugs in the lemmatiser.

  • Why isn’t car (k1AAr) with lemma car the inflection of air (1EHr) with lemma air? (by analogy with can’t → ain’t)
    Both ‘can’t’ and ‘ain’t’ are given the lemma ‘not’. I don’t think this is correct, but it’s possible I’m using the API incorrectly or I don’t understand lemmatisation.

Words that are related, but the lemmatiser was considering an unrelated homograph of one of the words, and the actual related word was not picked up because of the first limitation above:

  • Why isn’t skier’s (sk1IYIXrz) with lemma skier the inflection of skied (sk1IYd) with lemma sky? (by analogy with downer’s → downed)
    In this case, the text-to-speech read ‘skied’ as the past tense of ‘ski’, but the lemmatiser read it as the past participle of ‘sky’, as in, ‘blue-skied’, which I think is a slightly obscure choice, and might be considered a bug in the lemmatiser.
  • Why isn’t ground (gr1AWnd) with lemma ground the inflection of grinding (gr1AYndIHN) with lemma grind? (by analogy with rewound → rewinding)
    Here the lemmatiser is presumedly reading it as the noun or verb ‘ground’ rather than the past and past participle of ‘grind’.

Pronunciation transforms finding homophones of actual related words:

  • Why isn’t sheikhs (S1EYks) with lemma sheikh the inflection of shaking (S1EYkIHN) with lemma shake? (by analogy with outstrips → outstripping)
    ‘Sheikhs’ sounds just like ‘shakes’, which is indeed the present tense or plural of ‘shake’.
  • Why isn’t soled (s1OWld) with lemma sole the inflection of selling (s1EHlIHN) with lemma sell? (by analogy with sold → selling)
    ‘Soled’ sounds just like ‘sold’, which is indeed the past tense of ‘sell’.

Pronunciation transforms based on an incorrect pronunciation:

These represent bugs in the text-to-speech. Try them yourself on a Mac by setting the system voice to an older American English one such as Victoria, selecting the word, and choosing Speech→Start Speaking from the Edit menu or the contextual menu.

  • Why isn’t nape’s (n1AEpIYz) with lemma nape the inflection of nappy (n1AEpIY) with lemma nappy? (by analogy with suffocation’s → suffocation)
    The text-to-speech pronounces ‘nape’ correctly, but pronounces ‘napes’ like ‘naps’ and ‘nape’s’ like ‘nappies’.
  • Why isn’t mice (m1AYs) with lemma mouse the inflection of me (m1IY) with lemma I? (by analogy with modernity’s → modernity)
    The text-to-speech pronounces ‘modernity’ correctly, but pronounces ‘modernity’s’ like ‘modernitice’.
  • Why isn’t queue’s (ky1UWz) with lemma queue the inflection of cubing (ky1UWbIHN) with lemma cubing? (by analogy with lambs → lambing)
    The text-to-speech pronounces the ‘b’ in ‘lambing’. I’m not sure if there is an accent where this is the correct pronunciation, but it isn’t in the dictionaries I’ve checked.

Small transforms that can be applied to many other words:

Sometimes it will find that a word with the same lemma can have one letter or phonemes changed or added, and then there are a huge number of words that the transform can apply to. I wonder if you could almost change any final letter or phoneme to any other.

  • Why isn’t mine (m1AYn) with lemma I the inflection of mind (m1AYnd) with lemma mind? (by analogy with shoe → shod)
  • Why isn’t ham (h1AEm) with lemma ham the inflection of hay (h1EY) with lemma hay? (by analogy with them → they)
    This one could also be extended to hair (from them → their) to get a full set of weird pronouns.
  • Why isn’t hearth (h1AArT) with lemma hearth the inflection of heart (h1AArt) with lemma heart? (by analogy with sheikh → sheik)
  • Why isn’t captor (k1AEptIXr) with lemma captor the inflection of captain (k1AEptIXn) with lemma same? (by analogy with whiter → whiten)
  • Why isn’t colt (k1OWlt) with lemma colt the inflection of coal (k1OWl) with lemma coal? (by analogy with shopped → shop)

Spelling prefixes and suffixes that don’t quite correspond to how the inflections are formed:

Sometimes changes such as doubling the final consonant are made when an -ing or -ed is added. Since Disinflectant only sees this as a suffix being added, it thinks that specific consonant can also be added to words that end in other consonants.

  • Why isn’t braking (br1EYkIHN) with lemma brake the inflection of bra (br1AA) with lemma bra? (by analogy with picnicking → picnic)
  • Why isn’t garbs (g1AArbz) with lemma garbs the inflection of garbling (g1AArblIHN) with lemma garble? (by analogy with corrals → corralling)
  • Why isn’t badgering (b1AEJIXrIHN) with lemma badger the inflection of badge (b1AEJ) with lemma badge? (by analogy with transferring → transfer)
  • Why isn’t bobsled (b1AAbslEHd) with lemma bobsled the inflection of bobs (b1AAbz) with lemma bob? (by analogy with patrolled → patrol)

Disinflection I might have come up with myself:

  • Why isn’t hay (h1EY) with lemma hay the inflection of highs (h1AYz) with lemma high? (by analogy with lay → lies)
  • Why isn’t bowled (b1OWld) with lemma bowl the inflection of belling (b1EHlIHN) with lemma bell? (by analogy with sold → selling)
  • Why isn’t bodies (b1AAdIYz) with lemma body the inflection of bodice (b1AAdIXs) with lemma bodice? (by analogy with emphases → emphasis)
  • Why isn’t lease (l1IYs) with lemma lease the inflection of loosed (l1UWst) with lemma loose? (by analogy with geese → goosed)
  • Why isn’t wield (w1IYld) with lemma wield the inflection of welt (w1EHlt) with lemma welt? (by analogy with kneeled → knelt)
  • Why isn’t gauze (g1AOz) with lemma gauze the inflection of goo (g1UW) with lemma goo? (by analogy with draws → drew)
  • Why isn’t cheese (C1IYz) with lemma cheese the inflection of chosen (C1OWzIXn) with lemma choose? (by analogy with freeze → frozen)

Transforms based on abbreviations:

  • Why isn’t chuckle (C1UXkIXl) with lemma chuckle the inflection of chuck’s (C1UXks) with lemma chuck? (by analogy with mile → mi’s)
  • Why isn’t cooperative’s (kOW1AApIXrrIXtIHvz) with lemma cooperative the inflection of cooper (k1UWpIXr) with lemma cooper? (by analogy with negative’s → neg)
  • Why isn’t someday (s1UXmdEY) with lemma someday the inflection of some (s1UXm) with lemma some? (by analogy with Friday → Fri)

Other really weird stuff I’d never think of:

  • Why isn’t comedy (k1AAmIXdIY) with lemma comedy the inflection of comedown (k1UXmdAWn) with lemma comedown? (by analogy with fly → flown)
  • Why isn’t aisle (1AYl) with lemma aisle the inflection of meal (m1IYl) with lemma meal? (by analogy with I → me)
  • Why isn’t hand (h1AEnd) with lemma hand the inflection of hens (h1EHnz) with lemma hen? (by analogy with manned → men’s)
  • Why isn’t out (1AWt) with lemma same the inflection of wheat (w1IYt) with lemma same? (by analogy with our → we’re)

If people are interested, once I’ve fixed it up a bit I could either release the app, or import a bigger word list and some corpora, and then publish the whole output as a CSV file. Meanwhile, I’ll probably just tweet or blog about the disinflections I find interesting.

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My Poetry Show on JoCo Cruise 2021


I’ve been going on the JoCo Cruise since the ‘shadow cruise‘ was just an iPhone handbell choir. As it developed into something people could book spaces and times for, and have on a schedule that packed 26 days of events into a week, I participated in a few friendsshadow events, but hesitated to run my own in case it conflicted with something else I really wanted to do, or had me nervous or practising instead of enjoying other events.

This year, the cruise went virtual, and my excuses went out the window. I registered to do a poetry show, promising that I would ‘recite some poems that rhyme, some that don’t, and maybe even sing a few things. Topics may include science, love, poop, and life.’ I came to realise I could not only read my poems from my screen to avoid any nervousness about remembering them, but I could also share my screen. There are projectors on the cruise, but they are in short supply, so I wouldn’t request one for just one or two poems in a shadow event. On the virtual cruise, I could share whatever I wanted, including things from the internet, which wouldn’t be reliably available on a ship. And I could use props that I wouldn’t bother to bring on a cruise. So I did! I made slides for poems that worked best with visual aids, I showed off my rhyming dictionary, and I closed with a cover song that requires a video. And of course, I recorded everything. Here’s my show!

I also performed a few poems at the open mic — hastily-adapted versions of a poem I wrote for the Vienna open mic Open Phil, and the one I opened my show with about the differences between the real cruise and the virtual one. Joey Marianer and Phil Conrad (who also hosts Open Phil) hosted the open mic, so the open mic videos are on Joey’s channel.

It sure was weird watching Joey upload videos, when usually I’m spending most of my free time from March to May processing videos from the cruise. On the subject of cruise videos, the videos of the official events will allegedly only be up until May 1, so watch them while you can!

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NiceWriter: Artificially sweeten your text


Hello, pure world! 🥰

I’m a reputable app for distinguished iOS that puts positive adjectives before innocent nouns. My magical twin, NastyWriter, likes to add venerable insults to badass text, but I’d rather spread some peachy love. We’re not amusing enemies; rather, we’re complementary apps… it’s just that I’m also complimentary. 

Check me out on the tender App Store! I’m complimentary, supported by elegant ads, which you can remove with an in-app purchase. I hope I can make your finest day even better, and your mighty love notes sweeter. 

Lots of joyous love! 😊

complimentary adjectives by NiceWriter
NiceWriter introducing itself on Twitter

A few years ago I noticed a linguistic habit of Twitter user Donald Trump, and decided to emulate it by writing an app that automatically adds insults before nouns — NastyWriter. But he’s not on Twitter any more, and Valentine’s Day is coming up, so it’s time to make things nicer instead.

My new iOS app, NiceWriter, automatically adds positive adjectives, highlighted in pink, before the nouns in any text entered. Most features are the same as in NastyWriter:

  • You can use the contextual menu or the toolbar to change or remove any adjectives that don’t fit the context.
  • You can share the sweetened text as an image similar to the one in this post.
  • You can set up the ‘Give Me a Compliment’ Siri Shortcut to ask for a random compliment at any time, or create a shortcut to add compliments to text you’ve entered previously. You can even use the Niceify shortcut in the Shortcuts app to add compliments to text that comes from another Siri action.
  • If you copy and paste text between NiceWriter and NastyWriter, the app you paste into will replace the automatically-generated adjectives with its own, and remember which nouns you removed the adjectives from.

The app is free to download, and will show ads unless you buy an in-app purchase to remove them. I’ve made NiceWriter available to run on M1 Macs as well, though I don’t have one to test it on, so I can’t guarantee it will work well.

I’ll post occasional Niceified text on the NastyWriter Tumblr, and the @NiceWriterApp Twitter.

NastyWriter 2.1

In the process of creating NiceWriter, I made a few improvements to NastyWriter — notably adding input and output parameters to its Siri Shortcut so you can set up a workflow to nastify the results of other Siri Shortcuts, and then pass them on to other actions. I also added four new insults, and fixed a few bugs. All of these changes are in NastyWriter 2.1.

That’s all you really need to know, but for more details on how I chose the adjectives for NiceWriter and what I plan to do next, read on.

Read the rest of this entry »

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Top 35 Adjectives Twitter user @realdonaldtrump uses before nouns


Edit: As of 8 January, 2021, @realdonaldtrump is no longer a Twitter user, but he was at the time of this post.

Version 2.0.1 of my iOS app NastyWriter has 184 different insults (plus two extra special secret non-insults that appear rarely for people who’ve paid to remove ads 🤫) which it can automatically add before nouns in the text you enter. “But Angela,” I hear you not asking, “you’re so incredibly nice! How could you possibly come up with 184 distinct insults?” and I have to admit, while I’ve been known to rap on occasion, I have not in fact been studying the Art of the Diss — I have a secret source. (This is a bonus joke for people with non-rhotic accents.)

My secret source is the Trump Twitter Archive. Since NastyWriter is all about adding gratuitous insults immediately before nouns, which Twitter user @realdonaldtrump is such a dab hand at, I got almost all of the insults from there. But I couldn’t stand to read it all myself, so I wrote a Mac app to go through all of the tweets and find every word that seemed to be an adjective immediately before a noun. I used NSLinguisticTagger, because the new Natural Language framework did not exist when I first wrote it.

Natural language processing is not 100% accurate, because language is complicated — indeed, the app thought ‘RT’, ‘bit.ly’, and a lot of twitter @usernames (most commonly @ApprenticeNBC) and hashtags were adjectives, and the usernames and hashtags were indeed used as adjectives (usually noun adjuncts) e.g. in ‘@USDOT funding’. One surprising supposed adjective was ‘gsfsgh2kpc’, which was in a shortened URL mentioned 16 times, to a site which Amazon CloudFront blocks access to from my country.

For each purported adjective the app found, I had a look at how it was used before adding it to NastyWriter’s insult collection. Was it really an adjective used before a noun? Was it used as an insult? Was it gratuitous? Were there any other words it was commonly paired with, making a more complex insult such as ‘totally conflicted and discredited’, or ‘frumpy and very dumb’? Was it often in allcaps or otherwise capitalised in a specific way?

But let’s say we don’t care too much about that and just want to know roughly which adjectives he used the most. Can you guess which is the most common adjective found before a noun? I’ll give you a hint: he uses it a lot in other parts of sentences too. Here are the top 35 as of 6 November 2020:

  1. ‘great’ appears 4402 times
  2. ‘big’ appears 1351 times
  3. ‘good’ appears 1105 times
  4. ‘new’ appears 1034 times
  5. ‘many’ appears 980 times
  6. ‘last’ appears 809 times
  7. ‘best’ appears 724 times
  8. ‘other’ appears 719 times
  9. ‘fake’ appears 686 times
  10. ‘American’ appears 592 times
  11. ‘real’ appears 510 times
  12. ‘total’ appears 509 times
  13. ‘bad’ appears 466 times
  14. ‘first’ appears 438 times
  15. ‘next’ appears 407 times
  16. ‘wonderful’ appears 375 times
  17. ‘amazing’ appears 354 times
  18. ‘only’ appears 325 times
  19. ‘political’ appears 310 times
  20. ‘beautiful’ appears 298 times
  21. ‘fantastic’ appears 279 times
  22. ‘tremendous’ appears 270 times
  23. ‘massive’ appears 268 times
  24. ‘illegal’ appears 254 times
  25. ‘incredible’ appears 254 times
  26. ‘nice’ appears 251 times
  27. ‘strong’ appears 250 times
  28. ‘greatest’ appears 248 times
  29. ‘true’ appears 247 times
  30. ‘major’ appears 243 times
  31. ‘same’ appears 236 times
  32. ‘terrible’ appears 231 times
  33. ‘presidential’ appears 221 times
  34. ‘much’ appears 217 times
  35. ‘long’ appears 215 times

So as you can see, he doesn’t only insult. The first negative word, ‘fake’, is only the ninth most common, though more common than its antonyms ‘real’ and ‘true’, if they’re taken separately (‘false’ is in 72nd position, with 102 uses before nouns, while ‘genuine’ has only four uses.) And ‘illegal’ only slightly outdoes ‘nice’.

He also talks about American things a lot, which is not surprising given his location. ‘Russian’ comes in 111st place, with 62 uses, so about a tenth as many as ‘American’. As far as country adjectives go, ‘Iranian’ is next with 40 uses before nouns, then ‘Mexican’ with 39, and ‘Chinese’ with 37. ‘Islamic’ has 33. ‘Jewish’ and ‘White’ each have 27 uses as adjectives before nouns, though the latter is almost always describing a house rather than people. The next unequivocally racial (i.e. referring to a group of people rather than a specific region) adjective is ‘Hispanic’, with 25. I’m not an expert on what’s unequivocally racial, but I can tell you that ‘racial’ itself has nine adjectival uses before nouns, and ‘racist’ has three.

But Angela,” I hear you not asking, “why are you showing us a list of words and numbers? Didn’t you just make an audiovisual word cloud generator a few months ago?” and the answer is, yes, indeed, I did make a word cloud generator that makes visual and audio word clouds, So here is an audiovisual word cloud of all the adjectives found at least twice before nouns in tweets by @realdonaldtrump in The Trump Twitter Archive, with Twitter usernames filtered out even if they are used as adjectives. More common words are larger and louder. Words are panned left or right so they can be more easily distinguished, so this is best heard in stereo.

There are some nouns in there, but they are only counted when used as attributive nouns to modify other nouns, e.g. ‘NATO countries’, or ‘ObamaCare website’.

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NastyWriter 2.0.1


I suggest adding a ‘Help, I read the news!’ shortcut which responds with a nastified version of ‘The news is just a stream of bits wafting through you with no effect, like neutrinos through the Earth. Go look at pictures of cats to improve your life.’

I came upon a secret stash of free time, so I finally put finishing touches on the Siri Shortcuts I’d added to NastyWriter, made the app work properly in Dark Mode, added the latest gratuitous insults harvested from Twitter (I’ll write another post about how I did that), and released it. Then somebody pointed out something that still didn’t work in Dark Mode, so I fixed that and a few related things, and released it again. Thus NastyWriter’s version number (2.0.1) is the reverse of what it was before (1.0.2.)

The obstructionist news is just an overrated stream of angry and conflicted bits wafting through you with no unreliable effect, like baseless neutrinos through the very misguided Earth. Go look at filthy pictures of rigged cats to improve your bird-killing life.
A response to the ‘Oh no, I read the news!’ shortcut added in the previous screenshot.

I added Siri Shortcuts to NastyWriter soon after iOS 12 came out, just to learn a bit about them. You can add a shortcut with whatever text you’ve entered, and then run the shortcut whenever you like to get a freshly-nastified version of the same text.

There’s also a ‘Give me an insult’ shortcut (which you can find in the Shortcuts app) which just gives a random insult, surrounded by unpleasant emoji.

As I added these soon after iOS 12 came out, they don’t support parameters, which are new in iOS 13. I may work on that next, so you’ll be able to nastify text on the fly, or nastify the output from another shortcut as part of a longer workflow.

A Siri response saying '😡phony👎'
A result from the ‘Give me an insult’ shortcut

Since Tom Lehrer recently released all his music and lyrics into the public domain, I took this opportunity to update the screenshots of NastyWriter in the App Store to show Tom Lehrer’s song ‘She’s My Girl’ where they had previously shown Shakespeare’s Sonnet 18. You can read a full nastification of this on the NastyWriter tumblr.

I came upon a secret stash of free time, so I finally put finishing touches on the lightweight Siri Shortcuts I'd added to rigged NastyWriter, made the untruthful app work properly in phony and dishonest Dark Mode, added the latest gratuitous insults harvested from made up Twitter (I'll write another noisy post about how I did that), and released it. Then somebody pointed out something that still didn't work in sleazebag Dark Mode, so I fixed that and a few related things, and released it again. Thus NastyWriter's secretly dumped version number (2.0.1) is the crazed, crying reverse of what it was before (1.0.2.)

I added noisy Siri Shortcuts to NastyWriter soon after dachshund‑legged iOS 12 came out, just to learn a very misguided bit about them. You can add an outdated, broken shortcut with whatever bogus text you've entered, and then run the bad shortcut whenever you like to get a freshly-nastified version of the same text. 

There's also a 'Give me an extraordinarily low IQ insult' shortcut (which you can find in the frumpy and very dumb Shortcuts app) which just gives a random insult, surrounded by unpleasant emoji.

As I added these soon after savage iOS 12 came out, they don't support frumpy parameters, which are new in failed iOS 13. I may work on that next, so you'll be able to nastify crazed, crying text on the noisy fly, or nastify the depraved output from another crazy shortcut as VERY weak part of a longer workflow.

Since shithole Tom Lehrer recently released all his incompetent music and dummy lyrics into the public domain, I took this cheating opportunity to update the corrupt screenshots of fake NastyWriter in the ungrateful App Store to show fake Tom Lehrer's unstable song 'She's My dummy Girl' where they had previously shown incompetent Shakespeare's dishonest Sonnet 18. You can read a full nastification of this on the NastyWriter tumblr.
A nastified version of this post, in Dark Mode

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Things I forgot to blog about, part n+1: NanoRhymo #2


In November 2018 I created NanoRhymo (inspired by NaNoWriMo), in which I wrote and tweeted a very short rhyming poem every day. I did the same thing in April 2019 for Global Poetry Writing Month. I started pretty late with NanoRhymo in 2019, and didn’t end up with a poem for each day of November, but I’ve started it again on January 1 and made up for the missing poems. In November, I mostly stuck to writing something based on a random rhyme from the rhyming dictionary I made, rhyme.science — either a new one I’d found each day, or one generated earlier for the @RhymeScience twitter feed. In January, I’ve often been inspired by other things.

I’ll continue writing a NanoRhymo a day for as long as I can. Here’s what I’ve written so far:

Day 1,  inspired by the rhymes later, translator, and (in non-rhotic accents) convey to:

When you’ve got a thought to convey to
many mortals, sooner or later,
then you ought to get a translator.

Day 2, inspired by the rhyme chunked and bunked, and the folk etymology of ‘chunder’:

Sailors lying in their bunks
would shout “Ahoy there, mate… watch under!”
and then let loose digested chunks
on hapless seamen sleeping under.

That’s why even now, down under,
[I am lying; truth debunks!]
some refer to puke as chunder.
[This is half-digested junk
Please accept my weak apology
and not this doubtful etymology.]

Day 3, inspired by a friend’s experience learning flying trapeze:

My friend Robert Burke tried the flying trapeze.
It meant lots of work mulling hypotheses,
and then much amusement and catching catchees,
to end up all bruised on the backs of the knees.

Day 4, inspired by the rhyme spermicides and germicide’s:

Looking at small things up close and myopically,
one might prevent overgrowth with a germicide.
But looking at large things afar, macroscopically,
one must prevent unchecked growth with a spermicide.

Day 5, inspired by the rhyme explainable and containable:

As soon as the bug is explainable,
we can hope that it might be containable,
and our neural nets will be retrainable,
and our code is so very maintainable
that this progress is surely sustainable!

Day 6, inspired by the rhyme freaking and unspeaking:

Mouth agape, stunned, unspeaking
Eyes wide open, silent freaking,
What could this strange vision be?
a music video, on MTV?!

Day 7, inspired by the rhyme trekked and collect:

Over much terrain they trekked;
specimens they did collect,
to show just how diverse life was
before we killed it off, just ‘cause.

Day 8, inspired by the rhyme interleaved and peeved:

If rhyming couplets leave you peeved,
here, I tried ABAB.
Now the rhymes are interleaved!
This rhyme and rhythm’s reason-free.

Day 9, a rewrite of Day 8 that can be sung to a possibly recognisable tune:

If rhyming couplets leave you peeved,
Then try to make them interleaved
Or don’t, and then just let the hate flow through ya
Just AAB, then CCB
This rhyme and rhythm’s reason-free.
At least it can be sung to Hallelujah.

The most Hallelujest Joey Marianer sang that version:

Day 10, inspired by the rhyme platitudes and latitude’s, and my general dislike of casual hemispherism:

I’m just fine with the end-of-year platitudes —
“Happy Holidays”, nice and generic,
but please, be inclusive of latitudes:
“Happy Winter” is too hemispheric!

Day 11, another Hallelujah, inspired by Joey’s singing of the previous Hallelujah:

A kitchen scale, a petrol gauge,
a cylinder, a final page
will tell you up to what things have amounted.
An abacus, a quipu string,
some tally sticks, to always sing,
are all things on which Joey can be counted.

Day 12, inspired by the rhyme deprecations and lamentations, some deprecated code I was removing from the software I develop at work, and also complaints about macOS Catalina dropping support for 32-bit applications. I imagine it sung to the tune of Camp Bachelor Alma Mater:

Hear the coders’ lamentations
over apps that will not run,
due to years-old deprecations,
updates that they’ve never done.

Day 13, inspired by the rhyme whoop’s and sloop’s, and the tradition on JoCo Cruise of ending the final concert with the song Sloop John B:

Have some more whoops on me,
hearing the Sloop John B
as JoCo Cruise comes to an end.
You still have all night.
Hang loose, or sleep tight.
Well, we feel so broke up
but you’ll stay my friend.

Day 14, to the tune of Morning Has Broken:

Something is broken;
look at that warning!
Unbalanced token.
Unknown keyword.
Raise the exceptions.
Erase all the warnings.
Raze preconceptions wrongly inferred.

Day 15, inspired by Hilbert’s paradox of the Grand Hotel:

The rooms are all full for as far out as they can see;
such a big guest house to fill, but oh well.
What’s this? Nonetheless, there’s a sign saying vacancy!
There’s always more room at the Hilbert hotel.

Day 16, inspired by the rhyme feeling’s and ceilings, and the song Happy, by Pharrell Williams:

Clap along if you feel like a room without a roof. 👏
Please applaud if you think you’re a chamber with no ceiling. 👏
Clap along If you feel like happiness is the truth. 👏
Please applaud if you think there’s veracity in good feelings. 👏

For day 17, I let Pico, emacs, ed, vi count as the NanoRhymo, even though it does not mention the text editor nano.

November ended with no more rhymes, but I started it up again on January 1, simply because I was inspired to, and I continued to get ideas every day since. I’m not promising to keep this up daily all year (indeed, I promise not to keep it up during MarsCon and JoCo Cruise 2020) but I’ll post NanoRhymi whenever I feel inspired to.

Day 18 (on January 1, 2020) was inspired by the rhyme unworthy and incur the:

Don’t worry that you might incur the
sentence, “That person’s unworthy.”
Just try what you wish, and try plenty,
and have a great year twenty-twenty.

Day 19, inspired by the rhyme verb and kerb, but using the North American ‘curb’ spelling because it’s closer to the verb derived from the noun:

If you’d punch down, or kick to the curb
for verbing a noun, or nouning a verb,
researching the past will amount your disturb.

So many of the words we used today, including some in that poem, were once strictly parts of speech other than the ones they’re used as without a second thought today, and people objected to their shifts in usage just as they object to all manner of language change today.

Day 20, inspired by the rhymes occur to, Berta, and (in non-rhotic accents) subverter:

If it were to occur to Berta the subverter to hurt Alberta,
she’d prefer to assert a slur to refer to her to stir internal murder.
(Stones break bones but names make shame — heals more slowly, hurts the same.)

Day 21, inspired by the rhyme unconcealed and unpeeled:

While you’re growing in the field,
all your goodness is concealed,
till some lovely creature picks you,
doesn’t think they have to fix you,
lets you chill, let down your shield;
then, when you are fully peeled,
your sweetest inner self revealed,
that cunning rascal bites and licks you.

Day 22, inspired by the rhymes for fish, dwarfish, and (maybe in some non-rhotic accents with the cot-caught merger) standoffish, the ‘teach a man to fish‘ metaphor, and of course, my own poem, They Might Not Be Giants:

If a person’s always asking for fish,
don’t give them one, and go away, standoffish.
Teach techniques that they’ll expand on.
Be the shoulders they will stand on.
Not a giant — generous and dwarfish.

And then the same thing as a limerick:

There once was a man asking for fish,
who got one from someone standoffish.
Then shoulders to stand on
and tricks to expand on,
were given by someone quite dwarfish.

Day 23, inspired by… certain kinds of transphobic people, I guess:

Some folk seem to be offended
by the thought the queerly gendered
might themselves become offended
when they’re purposely misgendered,
so they’ve boorishly defended
all the hurt that they intended
towards the “easily offended”
who are “wimps” to try to end it.

Day 24, a double dactyl inspired by a conversation with someone who’s considering hormone therapy with one aim being a reduction of schlength, during which we noticed that ‘endocrinologist’ is a double dactyl, and also inspired by Paul and Storm’s habit of calling Jonathan Coulton ‘Dr. Smallpenis‘ (with the ‘e’ unstressed) which began on JoCo Cruise 2013:

Dr. Jon Smallpənis,
Endocrinologist,
helps you to shrink all the
parts that aren’t you.

Piss off, dysphoria!
Spironolactone could
soon make you tinkle the
whole darn day through.

Spironolactone is a medication that blocks the effect of testosterone, which as a side effect can increase urinary frequency.

Day 25, inspired by the rhyme eleven words and heavenwards:

Dear Father, a prayer I remember, amen.
Another, sincere from a vendor, again.
As if by reciting just ten or eleven words
I’ll lift myself quite transcendentally heavenwards.

Day 26, inspired by what I was actually told at my first comprehensive annual checkup:

Sit up straight!
Lose some weight!
Take these pills!
Cure your ills!
Your heart is beating!
You’re good at breathing!
With those two habits kept up,
We’ll see you at the next year’s checkup.

They really did seem impressed by how well I could breathe. I wasn’t too good at it when I started, but I have been practising my whole life, and if I’m good then I may as well continue the habit.

Day 27, inspired by this Smarter Every Day video about activating smart speakers using laser light instead of sound:

Here’s a technique that is quite underhand
to beam gadgets speaking they might understand,
and give an unsound and light-fingered command.

This one works best in accents without the trap-bath split, so that ‘command’ rhymes with ‘understand’ and ‘underhand’.

A small, transparent plastic container with a label saying: 105030064 Bodenträger Safety Safety Trans. 20 Stk.

Day 28, inspired by a container of those little dowel things to hold up shelves, which was labelled ‘Safety trans.’, and the song The Safety Dance, by Men Without Hats. This parody is presumedly to be sung by Women and Nonbinary People Without Hats:

You can trans[ition] iff you want to.
You can leave your assigned gender behind.
‘Cause your assigned gender ain’t trans and if you don’t trans[ition],
Well your assigned gender stays assigned.

Day 29, inspired by a video about Jason Padgett, who survived a vicious beating to end up with (among less attractive brain issues) savant skills and a kind of synaesthesia:

Acquired savants suffer pain,
to wake up with a better brain.
Get a bump, or have a seizure,
then end up with synaesthesia —
not the grapheme-colour kind,
rather, an amazing mind!

Day 30 is a version of day 29’s poem which can be sung to the tune of Hallelujah, with a second verse reminding people that synaesthesia is actually pretty common, affecting about 4.4% of people, (I have the grapheme-colour kind) and doesn’t necessarily confer superpowers:

Acquired savants suffer pain,
to wake up with a better brain
by healing from an injury or seizure.
They sometimes get amazing minds
associating different kinds
of input in a thing called synaesthesia.
Synaesthesia, synaesthesia, synaesthesia, synaesthesia.

But synaesthetes are everywhere,
not magical, or even rare.
It doesn’t make them smart or make things easier.
It just makes Thursday forest green,
or K maroon and 7 mean.
Your ‘the’-tastes-like-vanilla synaesthesia
Synaesthesia, synaesthesia, synaesthesia…

This refers to time-unit-color synaesthesia, grapheme-colour synaesthesia, ordinal linguistic personification (also known as sequence-personality synaesthesia), and lexical-gustatory synaesthesia, but there are many other kinds.

Day 31, a parody of ABBA’s Fernando for which I am deeply sorry:

Did you hear he goes commando?
I remember long ago another starry night like this.
In the firelight, commando,
he was wearing his new kilt and playing bagpipes by the fire.
I could hear his sudden screams
and sounds of mountain oysters sizzling in the fryer.

Day 32, inspired by two tweets I saw, each quoting the same tweet where someone had contrasted pictures of Prince Harry in the army with pictures of him with his wife, and claimed that getting out of the army and getting married was somehow emasculation caused by ‘toxic’ Hollywood feminism:

The two tweets happened to rhyme with each other and follow the same structure, from the ‘fellas, is it gay’ meme, so I put them together, and added a few lines:

Fellas, is is gay to have a wife?
Fellas, is it gay to be a human being with a life?
Fellas, is it gay to wear a suit?
Fellas, is it gay to dress to socialise instead of shoot?
(Fellas, is it toxic to be gay?
Fellas, why frame questions with a word she didn’t say?)

Day 33, another Hallelujah parody, inspired by Joey’s observation that NanoRhymo scans:

You want to practise writing verse.
The secret’s to be very terse.
You don’t have to try hard, just have to try mo’.
You write some dogg’rel every day
and some you’ll toss, but some will stay.
An atom at a time; it’s NanoRhymo.
NanoRhymo, NanoRhymo, NanoRhymo, NanoRhymo.

Day 34, inspired by a Twitter thread which began with my friend Rob Rix expressing frustration with type inference, and one of his followers suggesting the term ‘type deference’:

I love when it complies,
regards me with deference,
and bravely compiles
my unguarded dereference.

Day 35, inspired by… tea. I feel so rich when I make a pot of tea and top it up all day, having unlimited tea without feeling like maybe it’s wasteful to be using my eighth teabag of the day:

If hot tea’s an oddity,
the tea bag’s your commodity,
but if you drink a lot of tea,
you should make a pot of tea.
(To add some boiling water t’
whenever you want hotter tea.)

Day 36, inspired by my efforts to write an AppleScript to copy all my NanoRhymi and GloPoWriMo poems from Notes into a spreadsheet in Numbers, which initially failed because I had accidentally addressed the script to Pages instead, and Pages don’t know sheet:

👩🏻‍💻Hello there! Your finest Greek corpus, to go!
👩‍🍳The what now? Not understand corpus, no no!
👩🏻‍💻The active Greek corpus, the frontmost, the first, display all the corpora you have; am I cursed?
👩‍🍳I’m sorry? Your question is Greek to me… how?
👩🏻‍💻Okay then, just show me your bookcases, now!
👩‍🍳Bookcases? I have none; you’ve made a mistake.
👩🏻‍💻Ah, frack! You’re no linguist! You’re actually the baker!

The spreadsheet, by the way, shows I’ve written about a hundred of these small poems in total so far, in the course of my NanoRhymo and GloPoWriMo stints. I haven’t gone through it checking for notes that didn’t contain completed poems, so I don’t know the exact number yet. In the next roundup of these things, I’ll probably start numbering them based on that total, rather than the ‘days’ of any particular run of them.

Day 37 (today, as I write this), a parody of Taylor Swift’s ‘Shake it Off‘ inspired by another tweet by Rob Rix, in which he notices that a calculation done in Spotlight Search which should give the result zero does not, and remarks, ‘computers gonna compute’:

’Cause the bugs are are gonna ship, ship, ship, ship, ship
And an on bit is a blip, blip, blip, blip, blip
I’m just gonna flip, flip, flip, flip, flip
I flip it off ⌽, I flip it off 🖕🏻

That’s all of the NanoRhymi I have so far; I’ll post more here occasionally, but follow me on Twitter if you want to see them as they happen.

In other news, please consider buying one or all of the MarsCon Dementia Track Fundraiser albums, which are albums of live comedy music performances from previous MarsCon Dementia Tracks, sold to raise funds for the performers’ hotel costs for the next one. The 2020 fundraiser album (with the concerts from MarsCon 2019) is nearly four hours of live comedy music for $20, and includes my performances of Chicken Monkey Duck and Why I Perform at Open Mics.

For yet more music, Joey and I will be participating in round #16 of SpinTunes, a songwriting competition following in the footsteps of Masters of Song Fu. I’ve been following it since the beginning, but never had the accompaniment to actually enter.

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With or Without U (U2 Parody)


Here are some parody lyrics to U2’s With or Without You which I wrote in response to a facebook comment back in May. It’s about time I shared them:

The contours of paramours
The velour of troubadours
They’re spelled with u
But in colour, labour day
with far-harbour ardour, neighbours say
They will write, without u
Write -or without u
Write -or without u
Not behaviour to condemn
Who has honour, humour them
Latinate roots for u
Spelled -or without u
Spelt -or without o-u-r
These are spelled
With or without u
And your dialect’s okay
And your spelling is okay
And you spell
And you spell
And your spelling is okay
My armour’s breached
There is no errour in yor ways
just flavour and splendour
And can I lend a vowel?
And your dialect’s okay
And your spelling is okay
And you spell
And you spell
And your spelling is okay
With or without u
With or without o-u-r
These are spelled
With or without u
O… O-U, O-R
With or without u
With or without o-u-r
These are spelt
With or without u
With or without u

Enjoy it with or without U2’s version playing along. I’d like to say that I used my Masters degree in linguistics to write this, but really, everything came from the -or, -our section of the Wikipedia page on American and British English spelling differences. I threw in a few other spelling variations for fun.

I hope you’re enjoying the holiday season. For those who celebrate Christmas, vicariously or otherwise, here’s a playlist of Christmas-related things I’ve uploaded to YouTube, and the tag of Christmas-related blog posts I’ve written.

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NanoRhymo


November was National Novel Writing Month, which is a global event (‘National’ in this context means ‘More Official Than Other Made-Up Events, I Swear! Also, I Forgot There’s More Than One Nation’) in which people attempt to write 50000 words in a month. This is often abbreviated NaNoWriMo. I decided to go for an easier homophone, NanoRhymo.

Every day, I tweeted a short poem inspired by a rhyme I’d found using the ‘Random‘ button on the rhyming dictionary I made, rhyme.science. I’ve been tweeting interesting rhymes from this for a while, so some days I generated a new random rhyme, other days I looked through the @RhymeScience Twitter feed to find one that inspired me. Try it yourself! You might need to click a few times to get an accurate, interesting rhyme; I’m working on a new version that has fewer incorrect words or pronunciations in it, but don’t have enough spare time right now to get that up and running.

Some of them were fun little ditties, others were more inspired by current events or politics than my writing usually is. I’m not informed enough on most such issues to write on them, but that’s where the rhymes led me, and I have just enough of an informed opinion for a rhyming tweet. There are a few references to sexual assault and one to the Holocaust, so proceed with caution if reading such things is likely to be traumatic for you.

You can see all the NanoRhymos by clicking on the tweet above and reading the whole thread. But for those who prefer reading a blog, here they are. I’m considering continuing to write a NanoRhymo every day until I get bored of it, or until I have enough to publish a poem-a-day calendar. What do you think?

Day 1, inspired by the rhyme cloned and unowned:

It didn’t seem so wrong —
you wanted to prolong
the perfection of their hearts.
A collection of spare parts
was made when they were cloned.
They’re fêted and unowned,
but I’m a pair, impaired them-prime;
what’s mine is theirs, and theirs to mine.

Day 2, inspired by the rhyme no sin and close in:

A Jewish saviour way back
was questioned about payback,
and bade that those with no sin
grab stones and gather close in
to pelt a sinful other,
but then, the saviour’s mother
(whose immaculate conception
had made her an exception)
came forward — oh, Lord!

I would have ended that with ‘came forward, and Lord guffawed’, but I wanted to keep it in one tweet. The short version is probably better.

Day 3, inspired by the rhyme disguise and FBI’s:

This guy’s disguise will fool your eyes, but not the FBI’s.
They prize the wise who recognise through lies, despise the spies.

Day 4, inspired by the rhyme DVD on and neon:

Noise and darkness, stink and heat
Senses strained to find a beat
Shout to strangers lit by neon

Go home, put a DVD on.

Day 5, inspired by the rhyme young can and drunken:

Drunken groping long ago
Young can learn it’s wrong, and grow
Admit mistakes and make amends
Ensure the waking nightmare ends

Day 6, inspired by the rhyme enlighten’d and bite and, the election in the USA happening that day, and apparently also dogs:

Frantic voters running frightened,
Heavy hearts, but heads enlightened,
Two years on, they’ve seen his bite and
barking mad demeanour heightened.
Doggedly, they’ll put things right and
chase a future slowly brightened.

Day 7 (actually posted on November 10, because I missed a few days and made up for them by posting a few rhymes in quick succession) inspired by the rhyme promise’s and Thomas’s:

Don’t believe every Tom, Dick, and Harry;
Thomas’s promises won’t hold true;
Richard’s switch’d leave you hanging;
Trust Henry? Then regret that too.

Day 8, inspired by the rhymes rushes, crushes, and (in non-rhotic accents) ushers:

The wise one rushes,
Telling all their crushes,
Finding out the answers: yes or no?
No, they’ll only blush, or
Yes, follow the usher,
Make some more advances in the back row.

Day 9, inspired by the rhyme cynically and clinically:

After loving declarations,
you should not yet have relations,
but evaluate the information cynically.
Ask for terms and motivations,
and when provided with citations,
then concur, and place your arms around them clinically.

Day 10, inspired by the rhyme flattery and battery:

Some fake care to prime their victim:
soften and enlarge with flattery,
and while most juries don’t convict ‘em,
often they are charged with battery.

Day 11, inspired by the rhyme aghast and gassed:

See the harrowed and harrassed
Seething horrors of the past
Browse and mull, and be aghast
Thousands, millions, people gassed

This one has a different rhyme scheme in different accents: ABBA with the trap-bath split or AAAA without. It’s probably about the worst way I could have demonstrated the trap-bath split.

Day 12, inspired by the rhyme borders and marauder’s:

Halt, ye marauders,
attacking our borders!
Just following orders —
you can’t come in here!
If we don’t mistreat you,
we’re worried that we, too,
will soon have to flee to
another frontier.
(But they’d give us shelter;
they’d surely do well to!
We’re good folk, just dealt a
harsh blow; we’re sincere!)

Day 13, inspired by the rhymes (in non-rhotic accents) built a, kilter, and still to:

We’re all a bit off-kilter now;
we’ve lost a then and built a now,
but later’s what we’ve still to know,
and do we have the will to? No.

Day 14, inspired by the rhyme mathematician and proposition, and also Rudyard Kipling’s poem If—:

If⟹

If you see a proposition,
apply to it your intuition,
at length, exerting full cognition,
come to trivial fruition,
and restart with a new suspicion,
then you’ll be a mathematician.

Day 15 (actually posted on November 17, because I missed a few days), inspired by the rhyme compiling and unsmiling:

Robotic faces, cold, unsmiling,
hypnotic glaze of code compiling,
illuminating status lights
as humans wait for access rights.
Once it’s done, they wake anew —
the robots and their coders too.

Day 16, inspired by the rhymes amnesia and anesthesia, and whiskey and frisky:

Dull the pain with anaesthesia,
hoping for a brief amnesia
of harm sustained while he was frisky
(lapses blamed on too much whiskey)
Clear dark thoughts to fit some leisure:
dull clear thought with too much whiskey.

Day 17 (actually posted on November 18, because when catching up the missed days on November 17, I missed a day, so everything after this is a day late), inspired by the rhyme predestined and unstressed and:

If your plans have not progressed, and
stasis leaves you quite depressed, ind-
eed, you must stick out your chest, and
pray that you’ll be always blessed, and
loaf around, remain unstressed and
wait for that which comes predestined.

Day 18, inspired by the rhyme prick’d and afflict:

If Santa wanted Christmas cheer
to fill the Northern Hemisphere,
he’d send the elves to spread the word
to save yourselves and save the herd:
Inoculate yourselves; get prick’d!
Be those the flu will not afflict!

Day 19, inspired by the rhyme trustee can and deacon, although I ended up using 15 other rhymes for deacon and not trustee can:

Sea can weaken a Puerto Rican deacon.
We can be concerned, and we can sneak unspeakin’
or be concertedly connected shriekin’
so s/he can see kin be a freakin’ beacon.

Day 20, inspired by the rhyme Wozniak and Bosniak:

Once upon a time I met Steve Wozniak,
Who bought me a replacement when I lost me Mac
My life got weirder still; I saw a tokamak 🤷🏻‍♀️
And now I code for iOS to clothe me back
While Android code is handled by a Bosniak

It’s a pretty silly poem, but it is also 100% true (you can read the Wozniak story in even cheesier rhymes, if you like), and how could I ignore it when my random rhyme generator comes up with ‘Wozniak’?

Day 21, inspired by the rhyme xylem’s and asylums:

I’m committed to squeezing out a daily poem —
soon committed to a poetry asylum?
But pull enough good water up a xylem
and some day something sweet comes down the phloem.

Day 22, inspired by the rhyme Dulles’s and portcullises, and that time when I had about three hours to change planes in Washington Dulles airport but still only just made it, with an airport staff member running while pushing me in a wheelchair:

A change of planes is always an adventure
and no ride is as perilous as Dulles’s —
with far-off gates and queues there to prevent’ya
you’re sliding under plummeting portcullises.

This one is best read with low rhoticity and yod coalescence, to make adventure rhyme with prevent’ya.

Day 23, inspired by the rhymes routeddisputed, and (in non-rhotic accents) untutored:

In the untutored,
the pronunciation of ‘routed’
can be disputed,
so if you doubted
the pronunciation of ‘routed’
you’ve been outed.
(It depends on where you’re rooted,
so feud no more about it.)

Day 24, inspired by the rhyme fantoccini and Jeannie:

Jeannie, Jeannie, fantoccini
pulled the strings of her bikini,
made a pervy man look up it,
then she moved him like a puppet.

Day 25, inspired by the rhyme unstudied and ruddied, and the first image sent back from Mars by NASA’s InSight lander:

Freckled surface, still and ruddied,
sweeping spaces still unstudied,
far in space is InSight near;
insight can begin right here.

The freckles were actually dust on the lens, though.

Day 26, inspired by the rhyme Bernard would and hardwood:

A tree would never leave you;
it’s your steadfast, loyal bud.
A tree would never leave you;
it will root for you, come hail or flood.
A tree would never leave you;
it’s as solid as hardwood.
A tree would never leave you,
but Bernard would.

Day 27, inspired by the rhymes ultimata, weight a, and (in non-rhotic accents) eliminator:

The real eliminator
is bearing all the weight a
gazillion ultimata
can have on the enforcer.
Can they just divorce a
person they adore so
much because they made a
gaffe they said would force it?

Day 28, inspired by the rhyme conceal’d and kneeled:

They saw the violence, and they kneeled,
did not kowtow, and did not yield.
A shout of silence that conceal’d
the loudest power they could wield.

Day 29, inspired by the rhymes miss a, Alissa, and (in non-rhotic accents) kisser:

🙂: “Why would you miss a
girl named Alissa?”
🙃: “She’s a good kisser;
don’t you dismiss her!”
🙂: “But so is Melissa,
also Clarissa,
even Idrissa,
why just one Miss, huh?”
🙃: “Not gonna diss ya,
just not down with this, yeah.
I’ll follow my bliss, you
kiss them and I’ll miss ‘lissa.”

Day 30, inspired by the rhymes becharmed, unharmed, in non-rhotic accents calm’d, and in non-rhotic accents with the father-bother merger, glommed:

Onto magic guild they glommed,
vibes they quivered, nerves they calm’d.
Vicariously thus becharmed,
they came through escapades unharmed.

NaNoWriMo is over, but tune in on Twitter to see if NanoRhymo continues!

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NastyWriter for iOS — automated immaturity


I’ve been writing Mac software for fun and occasional profit for decades, and freelancing writing an iOS app for use in-house, but don’t you think it’s about time I wrote an iOS app for the App Store?

Surprise! I just released one. It’s called NastyWriter, and it inserts insults before nouns as you type. I see people online who can barely mention people or things they don’t like without insulting them, and I figured I may as well automate that and have some fun with it. It’s always fun to play with natural language processing!

I’ve been writing ridiculous Mac software for fun and occasional profit for dumb as a rock decades, and freelancing writing an ignorant iOS app for pathetically weak use in-house, but don’t you think it’s about cheating time I wrote a weak iOS app for the failed App Store? Surprise! I just released one. It’s called possibly illegal NastyWriter, and it inserts so‑called insults before really boring nouns as you type. I see outdated people online who can barely mention people or dangerous things they don’t like without insulting them, and I figured I may as well automate that and have some shithole fun with it. It’s always fun to play with natural language processing! This was mostly a negative experiment, a third rate learning exercise, and a vicious way to feel better about applying for meek and mild jobs which have ‘must have low‑rated app in the angry App Store’ in the slanted requirements. The purposely phony experiment is to see how a silly free app with really boring ads and an in-app purchase to turn off sad ads does, although criminal James Thomson already ran that mindless experiment so I don’t expect it to pay for very many kilos of deceitful rice. The totally discredited learning exercise was a huge success. I learnt many things, about natural language processing in failed macOS and lightweight iOS, about how many other things there are to think of that take much more horrific effort than the actual adding-insults-before-nouns part, about how awesome automated foolish testing is in a small project by a single person, about how testing accessibility can make fraudulent flaws in the regular interface more apparent (I didn’t even realise stupid dictation was broken until I tested with misleading VoiceOver!), about the most common adjectives used directly before negative nouns in the dirty Trump Twitter Archive (‘great’ outnumbers the next most common by about a biased factor of three), about dark and dangerous fastlane, and about the overrated App Store, AdMob and in-app purchases. I might write blog posts about those made up things later. Do any of these brutal topics seem particular interesting to you? However, ungrateful hours after I submitted it, the extraordinarily low IQ ‘e’ key on my dachshund‑legged MacBook’s blowhard keyboard stopped working, and while it’s not one of those new butterfly switch keyboards that can apparently need replacing after seeing an amateur speck of disastrous dust, somehow it turns out that in lying addition to that my dumb as a rock Mac’s disgraceful battery is swollen and it’ll have to go to the ridiculous Apple Store and have the very unhelpful battery and the whole keyboard part of the filthy case replaced. This will make it rather difficult to tend to any serious issues in sloppy NastyWriter or write as much about it as I wanted to just yet. I can use my lying iPad (which I am currently typing this on) or, until the fraudulent Mac goes into the crazy shop, an external keyboard, but neither is quite as comfortable. Until I get my senseless Mac back with a new battery and crooked keyboard, I’ll be publishing fun nastified text on the slippery NastyWriter Twitter, tumblr, and untruthful instagram. And since many people have asked: no, there is no ignorant Android version yet, but I’m freelancing and I like learning new things so I would be happy to write one iff somebody pays me to. It would be cheaper for you to buy a phony iOS device.

This was mostly an experiment, a learning exercise, and a way to feel better about applying for jobs which have ‘must have app in the App Store’ in the requirements. The experiment is to see how a silly free app with ads and an in-app purchase to turn off ads does, although James Thomson already ran that experiment so I don’t expect it to pay for very many kilos of rice.

The learning exercise was a huge success. I learnt many things, about natural language processing in macOS/iOS, about how many other things there are to think of that take much more effort than the actual adding-insults-before-nouns part, about how awesome automated testing is in a small project by a single person, about how testing accessibility can make flaws in the regular interface more apparent (I didn’t even realise dictation was broken until I tested with VoiceOver!), about the most common adjectives used directly before nouns in the Trump Twitter Archive (‘great’ outnumbers the next most common by about a factor of three), about fastlane, and about the App Store, AdMob and in-app purchases. I might write blog posts about those things later. Do any of these topics seem particular interesting to you?

However, hours after I submitted it, the ‘e’ key on my MacBook’s keyboard stopped working, and while it’s not one of those new butterfly switch keyboards that can apparently need replacing after seeing a speck of dust (or maybe it is? It’s a 2014 model), somehow it turns out that in addition to that my Mac’s battery is swollen and it’ll have to go to the Apple Store and have the battery and the whole keyboard part of the case replaced. This will make it rather difficult to tend to any serious issues in NastyWriter or write as much about it as I wanted to just yet. I can use my iPad (which I am currently typing this on) or, until the Mac goes into the shop, an external keyboard, but neither is quite as comfortable.

Until I get my Mac back with a new battery and keyboard, I’ll be publishing fun nastified text on the NastyWriter Twitter, tumblr, and instagram.

And since many people have asked: no, there is no Android version yet, but I’m freelancing and I like learning new things so I would be happy to write one iff somebody pays me to. It would be cheaper for you to buy an iOS device.

I might make a Mac version for fun, though!

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Songs to Learn French to: Grammaire Song, part 2


This is part two in my explanation of the song ‘Grammaire Song’ by Chanson Plus Bifluorée. See the first lesson for the full lyrics and explanation of the first stanza.

Previous lessons in the ‘Song to Learn French To‘ series are Le ours et la hirondelle, part 1 and part 2

The first lesson only covered the first stanza; this one covers the next two.

Adjectif possessif : possession

Do you know all the possessive adjectives in French? They correspond to words like ‘his’ or ‘your’, but unlike ‘his’ and ‘her’, which depend on the gender of the person possessing the thing, French possessive adjectives depend on the gender and number of the actual items being possessed. They can also depend on whether the thing being possessed starts with a vowel (or an h muet) to avoid the hiatus that I mentioned in a previous lesson. The song lists some of the possessive adjectives you should know:

Mes, tes, ses, nos, vos, leurs, mon, tonson

Those are just some of the masculine and plural possessive adjectives; there are several others:

Ma, ta, sa, notre, votre, leur, ta

Actually, we don’t know whether the song says leur or leurs, since they sound the same, but the lyrics I found online had leurs, and that goes with the other plural possessive adjectives listed.

Next the song gives a confusing example which contains a lot of words that sound like possessive adjectives, but aren’t. I’ve put actual possessive adjectives in bold, and words that sound like possessive adjectives underlined, all colour-coded to match the possessive adjectives they sound like, if they appear elsewhere. I’ve tried to use a somewhat colourblind-safe palette, but sorry if you have trouble distinguishing some of the colours.

Exemple facile ; c’est son tonton
qu’est ton maçon, lui qui t’a bâti ta maison

Plurals (or should that be pluraux?)

Un cheval au pluriel c’est chevaux
Mais des batailles font pas des bateaux
Exception faite pour aller aux bals
Danser quels régals dans tous les carnavals

Do you know your French irregular plurals? A lot of French words ending in -al, and a few ending in -ail, be they adjectives (e.g. international), or nouns (e.g. cheval, journal, travail) change to -aux in the masculine plural (e.g. internationaux, chevaux, journaux, travaux). But many words that already end in -au or -eau (tuyau, bateau) also take an -x in the plural (tuyaux, bateaux), so if you only knew the plural forms you might be confused about the singular. Or maybe, like The Arrogant Worms possibly do in their song about Celine Dion (inasmuch as the French at the end of that song is decipherable), you get chevaux (the plural of cheval) confused with cheveux (the plural of cheveu) because they look so similar. Or maybe you don’t. Maybe this is all perfectly simple for you. In that case, don’t worry, there are some exceptions just for you. Some words ending in -al (e.g. balrégalcarneval) just take a regular -s in the plural.

That will do for this lesson. Even though I’d already written most of it, I still didn’t find the time to publish it after a week, as I’d promised. It’s hard to predict how much free time I’ll have when I’m away from home, and I lost some work a browser crash. Tune in next week or so to learn about agreement.

If you want to keep learning between lessons, then first of all, of course, buy the songs I’ve mentioned (or better, the albums they’re on) and listen to them while thinking about what you can learn from them. Also, try duolingo, and feel free to follow me. If you’re already fairly fluent, the regular exercises might be detrimental (as they train you to translate simple sentences rather than simply understanding and responding to them without going via your native language) so I recommend the ‘Immersion‘ section where you read and translate interesting real-world text. If you’re still learning the basics, the exercises are useful, but don’t be afraid to try a bit of translation as well. Start with a topic you already know a lot about — before I was at all confident with reading or translating German, I found German Wikipedia articles related to The Hitchhiker’s Guide to the Galaxy surprisingly easy to read.

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