How to learn Japanese with Python
summary
Claim: Python plus off‑the‑shelf NLP libraries actually produce readable annotations and level‑aware text, not just theory. Tools: morphological analyzer + dictionary lookup, romaji converters (jaconv style), and scripts that emit ruby annotation and romaji output. Built: a web‑textbook pipeline and a demo script that segments sentences, returns kanji readings, and filters by JLPT level filters. Result: runnable demos convert sentences and produce expected annotations; FSI estimate cited is 88+ weeks.
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chapters (9)
- 0:00Learning Japanese with Python
- 3:44Introduction
- 6:14Japanese language challenges
- 10:50Python for character conversion
- 13:37Word segmentation with Python
- 16:07Kanji readings
- 20:50JLPT scripts
- 25:29Demo of tool
- 27:48Summary
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