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Well, to be honest my first impression was that this is what I've been using all along. I just liked that someone experimented a bit. :) Perhaps I assumed this
by blipmusic 9y ago
Well, to be honest my first impression was that this is what I've been using all along. I just liked that someone experimented a bit. :) Perhaps I assumed this would end up with a different predictive model. No idea what kind of corpora have been used for the input methods already available.
Edit: your P.S. made me remember the "ma-ma-ma-ma..." mouthful the Chinese language students I studied in parallel with discovered (apparently well-known - something about a horse and a...mother?). If tones are not represented in romanised Chinese, things seem to get tricky, indeed.
- microcolonel 9y agoFor what it's worth, there's a lot of work to do on Japanese input methods. To a human it may be obvious that hawotogu should become 刃を研ぐ (sharpen a/the blade), and that one does not typically sharpen or hone a 歯 (tooth), 葉(leaf), 派(party/ingroup), or even 覇(~hegemony); but to a computer without topic-specific context, each of these is equally valid. One might be thankful that humans don't really say all that many different or interesting things, at least in this context.
- derefr 9y agoI don't know about "topic-specific context", but doesn't a word-granular Hidden Markov Model trained on huge amounts of text from the language let you figure out things like "given that the sentence includes 刃, 研 is the highest-scoring match"?
- microcolonel 9y agoIt does, but the suggestions will be nowhere to be found if somebody is making a novel use of words. That's what I was getting at.
- blipmusic 9y agoI didn't mean to imply otherwise. My curiosity was/is with the generation of the model in the link (especially compared to current models), hence the question in my original post. There's also pitch accent that helps with disambiguation of spoken Japanese (I should know, I accidentally called a friend seaweed for a long time).
- schoen 9y agoI don't speak Chinese but I've encountered this series a lot: https://en.wiktionary.org/wiki/%E5%AA%BD#Chinese https://en.wiktionary.org/wiki/%E5%AA%BD#Chinese 媽 mā 'mother' https://en.wiktionary.org/wiki/%E9%BA%BB#Chinese https://en.wiktionary.org/wiki/%E9%BA%BB#Chinese 麻 má 'hemp' (sometimes 'flax') https://en.wiktionary.org/wiki/%E9%A6%AC#Chinese https://en.wiktionary.org/wiki/%E9%A6%AC#Chinese 馬 mǎ 'horse' https://en.wiktionary.org/wiki/%E7%BD%B5#Chinese https://en.wiktionary.org/wiki/%E7%BD%B5#Chinese 罵 mà 'scold' It's also cool that you can see that 媽 is made up of "semantic 女 + phonetic 馬", where 女 means 'lady' and 馬 sounds like "ma", so the character was meant to suggest "a word relating to ladies that sounds like ma". https://en.wikipedia.org/wiki/Chinese_character_classification#Phono-semantic_compound_characters https://en.wikipedia.org/wiki/Chinese_character_classificati...
- PeCaN 9y agoThere's also this rather fun poem, Shī Shì shí shī shǐ. https://en.wikipedia.org/wiki/Lion-Eating_Poet_in_the_Stone_Den https://en.wikipedia.org/wiki/Lion-Eating_Poet_in_the_Stone_...
- brobinson 9y agoThere's one more: https://en.wiktionary.org/wiki/%E5%97%8E#Chinese https://en.wiktionary.org/wiki/%E5%97%8E#Chinese 嗎 ma 'question particle'
- schoen 9y agoOh yeah, thanks! Apparently the phono-semantic derivation for that is "mouth ma" (maybe because a mouth is used to ask questions?).
- brobinson 9y agoWas the phrase possibly this: 你敢罵我媽的馬嗎？ (roughly: "you dare to scold my mother's horse?")
- blipmusic 9y ago"Scold" or something similar to it was in there, so quite possibly yes. Thanks, for the heads up.