Earlier quoted context omitted.
Spoken Japanese isn't any more ambiguous than English (for a human, or a speech-to-text AI) because Japanese people pause between spoken words just like anyone else. But a stream of romaji furigana with no spaces is quite ambiguous—since there's nothing to indicate word boundaries, any substring of the input might turn out to have actually intended to be e.g. a katakana spelling of a name. If CJK IMEs expected and re…
>because Japanese people pause between spoken words just like anyone else. This is (surprisingly) not true. People do not pause between words, however when listening to a language that they understand, they do perceive pauses between words; even though such pauses do not exist.
Show HN: Neural Japanese Transliteration
21–30 of 55 posts
Re: Show HN: Neural Japanese Transliteration
#22Earlier quoted context omitted.
Spoken Japanese isn't any more ambiguous than English (for a human, or a speech-to-text AI) because Japanese people pause between spoken words just like anyone else. But a stream of romaji furigana with no spaces is quite ambiguous—since there's nothing to indicate word boundaries, any substring of the input might turn out to have actually intended to be e.g. a katakana spelling of a name. If CJK IMEs expected and re…
>because Japanese people pause between spoken words just like anyone else. This is (surprisingly) not true. People do not pause between words, however when listening to a language that they understand, they do perceive pauses between words; even though such pauses do not exist.
Re: Show HN: Neural Japanese Transliteration
#23Earlier quoted context omitted.
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 discove…
I don't speak Chinese but I've encountered this series a lot: https://en.wiktionary.org/wiki/%E5%AA%BD#Chinese 媽 mā 'mother' https://en.wiktionary.org/wiki/%E9%BA%BB#Chinese 麻 má 'hemp' (sometimes 'flax') https://en.wiktionary.org/wiki/%E9%A6%AC#Chinese 馬 mǎ 'horse' 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 mea…
https://en.wiktionary.org/wiki/%E5%97%8E#Chinese 嗎 ma 'question particle'
Re: Show HN: Neural Japanese Transliteration
#24Earlier quoted context omitted.
For what it's worth, this is basically just the same as any popular Japanese (or Chinese) input method. Usually the approach is to greedily form the smallest set of the longest words from the given syllables, because people tend to give inputs where all the words are complete. Sometimes people use markov models to fix situations where that falls over. Not sure how well this model performs, but the task is not novel.…
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 discove…
(roughly: "you dare to scold my mother's horse?")
Re: Show HN: Neural Japanese Transliteration
#25Earlier quoted context omitted.
>because Japanese people pause between spoken words just like anyone else. This is (surprisingly) not true. People do not pause between words, however when listening to a language that they understand, they do perceive pauses between words; even though such pauses do not exist.
I disagree. There's a subtle difference between breathing cadence and inflection, and a completely monotempo monotonal string of sounds.
Seems more productive (and enlightening to all) than the agree/disagree dialogue here.
Re: Show HN: Neural Japanese Transliteration
#26Earlier quoted context omitted.
>because Japanese people pause between spoken words just like anyone else. This is (surprisingly) not true. People do not pause between words, however when listening to a language that they understand, they do perceive pauses between words; even though such pauses do not exist.
I disagree. There's a subtle difference between breathing cadence and inflection, and a completely monotempo monotonal string of sounds.
Re: Show HN: Neural Japanese Transliteration
#27Earlier quoted context omitted.
>because Japanese people pause between spoken words just like anyone else. This is (surprisingly) not true. People do not pause between words, however when listening to a language that they understand, they do perceive pauses between words; even though such pauses do not exist.
I disagree. There's a subtle difference between breathing cadence and inflection, and a completely monotempo monotonal string of sounds.
Re: Show HN: Neural Japanese Transliteration
#28Earlier quoted context omitted.
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 discove…
Was the phrase possibly this: 你敢罵我媽的馬嗎? (roughly: "you dare to scold my mother's horse?")
Re: Show HN: Neural Japanese Transliteration
#29Earlier quoted context omitted.
I don't speak Chinese but I've encountered this series a lot: https://en.wiktionary.org/wiki/%E5%AA%BD#Chinese 媽 mā 'mother' https://en.wiktionary.org/wiki/%E9%BA%BB#Chinese 麻 má 'hemp' (sometimes 'flax') https://en.wiktionary.org/wiki/%E9%A6%AC#Chinese 馬 mǎ 'horse' 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 mea…
There's one more: https://en.wiktionary.org/wiki/%E5%97%8E#Chinese 嗎 ma 'question particle'
Apparently the phono-semantic derivation for that is "mouth ma" (maybe because a mouth is used to ask questions?).
Re: Show HN: Neural Japanese Transliteration
#30Earlier quoted context omitted.
I disagree. There's a subtle difference between breathing cadence and inflection, and a completely monotempo monotonal string of sounds.
It seems like it'd be useful for one or both of you to cite any research than has been done on this. Seems more productive (and enlightening to all) than the agree/disagree dialogue here.
The best way to see this is to try listening to a language you do not understand, and try to identify word boundries.
Indeed, the paper I link argues that some phonetic cue must exist because babies can recognise word boundries.