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Fakelish – Fake English word generator

fakelish.nwtgck.org

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Re: Fakelish – Fake English word generator

#41

Post by thaumasiotes »

themdonuts wrote: post #29
mrbukkake wrote: post #15

Nice idea, naive implementation which leads to the output being unconvincing as hypothetical English words. I had a brief look and it seems to be proportionally selecting and sticking together sequences of letters sampled from English words (lib/word-probability.ts). This doesn't take into account syllable boundaries, the way the English spelling system maps between phones/phonemes and the phonotactic properties of E…

I got "minable" on my first try and found it impressive and surprised that it wasn't a word. After 3 other reloads nothing else came up.

It definitely is a word, since "mine" is an existing verb.

Re: Fakelish – Fake English word generator

#42

Post by thaumasiotes »

lokl wrote: post #37
LordDragonfang wrote: post #32

Earlier quoted context omitted.

On my first load, I got "Plailmly", which uses a sequence of consonants that I'm reasonably certain occurs nowhere in the English language.

Not nowhere, but uncommon: calmly, filmlike, ...

Try for -ailm-.

Re: Fakelish – Fake English word generator

#43

Post by speedcoder »

BrandoElFollito wrote: post #22
SavantIdiot wrote: post #14

Speaking of gibberish english: I know this has been on YouTube for 10 years, but there are always newcomers who haven't had their brain melted by it: https://www.youtube.com/watch?v=-VsmF9m_Nt8

For a non-native speaker of English - this sounds like lots of songs. Tangentially related - this is how I discovered Nightwish some 15 years ago: https://www.youtube.com/watch?v=gg5_mlQOsUQ

Nobody could make up words like Frankie Smith (may he RIP 2019) in the middle of Double Dutch Bus https://youtu.be/fK9hK82r-AM

Re: Fakelish – Fake English word generator

#44

Post by tw04 »

themdonuts wrote: post #29
mrbukkake wrote: post #15

Nice idea, naive implementation which leads to the output being unconvincing as hypothetical English words. I had a brief look and it seems to be proportionally selecting and sticking together sequences of letters sampled from English words (lib/word-probability.ts). This doesn't take into account syllable boundaries, the way the English spelling system maps between phones/phonemes and the phonotactic properties of E…

I got "minable" on my first try and found it impressive and surprised that it wasn't a word. After 3 other reloads nothing else came up.

Definitely not a fake word. Coal, for instance, is a minable resource.

https://www.dictionary.com/browse/minable

Re: Fakelish – Fake English word generator

#46

Post by formerly_proven »

SavantIdiot wrote: post #14

Speaking of gibberish english: I know this has been on YouTube for 10 years, but there are always newcomers who haven't had their brain melted by it: https://www.youtube.com/watch?v=-VsmF9m_Nt8

This is what a parse error feels like.

Re: Fakelish – Fake English word generator

#47

Post by genewitch »

speedcoder wrote: post #43
BrandoElFollito wrote: post #22

Earlier quoted context omitted.

For a non-native speaker of English - this sounds like lots of songs. Tangentially related - this is how I discovered Nightwish some 15 years ago: https://www.youtube.com/watch?v=gg5_mlQOsUQ

Nobody could make up words like Frankie Smith (may he RIP 2019) in the middle of Double Dutch Bus https://youtu.be/fK9hK82r-AM

The sound engineer on the loveline show had Dr Drew Pinsky trying to sing this song as an evergreen.

Re: Fakelish – Fake English word generator

#49

Post by rlayton2 »

mrbukkake wrote: post #15

Nice idea, naive implementation which leads to the output being unconvincing as hypothetical English words. I had a brief look and it seems to be proportionally selecting and sticking together sequences of letters sampled from English words (lib/word-probability.ts). This doesn't take into account syllable boundaries, the way the English spelling system maps between phones/phonemes and the phonotactic properties of E…

A significant improvement on letter-by-letter, but not that much harder, is to use n-grams: "two letters to predict the third" etc. Still not "industry grade", but the results start making more sense.
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