#text segmentation

Gse provides multilingual NLP and text segmentation, supporting English, Chinese, and Japanese languages. It seamlessly integrates with Elasticsearch and Bleve and offers word segmentation modes including precise, full, and HMM using the Viterbi algorithm. Features include a customizable user dictionary, POS tagging, and support for Traditional Chinese. Integration with TensorFlow and Named Entity Recognition is under development, making it suitable for developers designing language processing applications.

The project presents a complete suite of essential NLP tools, including word standardization, trie and double array trie structures, sentence segmentation, HTML tag cleaning, and enhanced Viterbi algorithm. It also comprises features such as Chinese character to pinyin conversion, simplified to traditional Chinese conversion, bloom filter, de-duplication using fingerprints, SimHash for article similarity, word co-occurrence statistics, memory-based search suggestions, and WordWeight analysis. This package is optimal for developers in need of efficient NLP solutions.