About This Book
"Intro to Japanese NLP" covers linguistic basics, open-source tools, and machine learning concepts
for processing, analyzing, and generating Japanese texts.
All the background knowledge required for processing Japanese language texts on computers — characters, words, grammar, as well as encodings and emoji.
Use open-source tools to analyze Japanese texts, including: word tokenization with MeCab, PoS tagging and parsing with spaCy.
A thorough overview of dictionaries, corpora, and other datasets commonly used for Japanese language processing.
Use word and sentence embeddings to represent, visualize, and retrieve Japanese texts.
Use neural networks to generate Japanese texts and and convert between Kana and Kanji.
Use transfer learning to understand Japanese texts through sentiment analysis and named entity recognition.