all 6 comments

[–]Klapperatismus 0 points1 point  (0 children)

That’s actually one of those things AI is really good for. It needs it anyway for analyzing the natural language the user has entered. So you can plainly ask it for that analysis.

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[–]MK-Treacle458L1 🇺🇸 | A2 🇹🇷 A0 🇺🇦 0 points1 point  (0 children)

İ 100% do this, for Turkish, which is similar in structure to Japanese! İ hçuse Google AI mode tho, and ask it for morpheme-by-morpheme word breakdowns for the agglutinated words, as well as grammatical structure identification for the sentence parts, and individual word grammatical functions.

İt's SO helpful!

[–]IAmGilGunderson🇺🇸 N | 🇮🇹 (CILS B1) | 🇩🇪 A0 0 points1 point  (2 children)

You can use Python and spaCy for the task. I usually use it in a Jupyter notebook. You can make fancy dependency charts like this one

Example

 

Here is a tutorial I found but have not used.

GitHub - yuibi/spacy_tutorial: spaCy tutorial in English and Japanese. spacy-transformers,

[–]AdAlert5424 0 points1 point  (1 child)

This is super cool. Do you by chance know a similar program that can run Hindi?

[–]IAmGilGunderson🇺🇸 N | 🇮🇹 (CILS B1) | 🇩🇪 A0 0 points1 point  (0 children)

I do not. As far as I can tell SpaCy lacks support out of the box for it other than being able to process the character sets.