# Japanese text processing

Japanese BERT model trained by Algomatic team, supporting fill-mask tasks with a context length of up to 8192.

Experimental classification model based on fastText word vectors, supporting zero-shot classification tasks

spaCy's CPU-optimized Japanese processing pipeline, including tokenization, part-of-speech tagging, dependency parsing, named entity recognition, and more