The main function that segments an entire sentence that contains Chinese characters into separated words. Parameter:

Add a word to dictionary. freq and tag can be omitted, freq defaults to be a calculated value that ensures the word can be c

Global `cut` function that supports parallel processing. Note that this only works using dt, custom POSTokenizer instances are not suppo

Finer segmentation for search engines.

Load personalized dict to improve detect rate. Parameter: - f : A plain text file contains words and their ocurrences.

Suggest word frequency to force the characters in a word to be joined or splitted. Parameter: - segment : The se

Tokenize a sentence and yields tuples of (word, start, end) Parameter: - sentence: the str(unicode) to be segmented.

Convenient function for deleting a word.

Change the module's `cut` and `cut_for_search` functions to the parallel version. Note that this only works using dt, custom Tokenizer

Extract keywords from sentence using TF-IDF algorithm. Parameter: - topK: return how many top keywords. `None` for all po

Extract keywords from sentence using TextRank algorithm. Parameter: - topK: return how many top keywords. `None` for all