| jiebaR-package | A package for Chinese text segmentation | 
| <=.keywords | Keywords symbol | 
| <=.qseg | Quick mode symbol | 
| <=.segment | Text segmentation symbol | 
| <=.simhash | Simhash symbol | 
| <=.tagger | Tagger symbol | 
| apply_list | Apply list input to a worker | 
| DICTPATH | The path of dictionary | 
| distance | Hamming distance of words | 
| edit_dict | Edit default user dictionary | 
| filecoding | Files encoding detection | 
| file_coding | Files encoding detection | 
| filter_segment | Filter segmentation result | 
| freq | The frequency of words | 
| get_idf | generate IDF dict | 
| get_qsegmodel | Set quick mode model | 
| get_tuple | get tuple from the segmentation result | 
| HMMPATH | The path of dictionary | 
| IDFPATH | The path of dictionary | 
| jiebaR | A package for Chinese text segmentation | 
| keywords | Keyword extraction | 
| new_user_word | Add user word | 
| print.inv | Print worker settings | 
| print.jieba | Print worker settings | 
| print.keywords | Print worker settings | 
| print.qseg | Print worker settings | 
| print.simhash | Print worker settings | 
| qseg | Quick mode symbol | 
| reset_qsegmodel | Set quick mode model | 
| segment | Chinese text segmentation function | 
| set_qsegmodel | Set quick mode model | 
| show_dictpath | Show default path of dictionaries | 
| simhash | Simhash computation | 
| simhash_dist | Compute Hamming distance of Simhash value | 
| simhash_dist_mat | Compute Hamming distance of Simhash value | 
| STOPPATH | The path of dictionary | 
| tagging | Speech Tagging | 
| tobin | simhash value to binary | 
| USERPATH | The path of dictionary | 
| vector_distance | Hamming distance of words | 
| vector_keywords | Keyword extraction | 
| vector_simhash | Simhash computation | 
| vector_tag | Tag the a character vector | 
| worker | Initialize jiebaR worker | 
| [.keywords | Keywords symbol | 
| [.qseg | Quick mode symbol | 
| [.segment | Text segmentation symbol | 
| [.simhash | Simhash symbol | 
| [.tagger | Tagger symbol |