5min chapter

Practical AI: Machine Learning, Data Science, LLM cover image

Active learning & endangered languages

Practical AI: Machine Learning, Data Science, LLM

CHAPTER

Machine Learning and Linguistics

Linguists are often motivated to get a certain amount done, annotated, transcribed, annotated. But then you have another 30 thousand that hasn't been done. So weve sort of made our way to the intersection of computational linguistics, n l p, machine learning and language documentation. And i was particularly interested in the morphological analysis. Can we teach the computer for these complicated languages to figure out what are the parts of a word and do it automatically? First of all, to break that bottle neck to finish anitating these words, so that then we have more training with n l p. There's a second part there, if they can learn from this data,

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