| 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 |