a †‹g¹ã@sRdZddlmZmZddlmZeddZgd¢efeeeeedœdd „Zd S) zÝ nercut 0.2 Dictionary-based maximal matching word segmentation, constrained by Thai Character Cluster (TCC) boundaries, and combining tokens that are parts of the same named entity. Code by Wannaphong Phatthiyaphaibun é)ÚIterableÚList)ÚNERZthainer)Zengine)Z ORGANIZATIONZPERSONZPHONEZEMAILZDATEZTIME)ÚtextÚtaglistÚreturnc Cst|tƒsgS|j|dd}g}d}t|ƒD]æ\}\}}|dkrN|dd…} nd} | d¡rj| |vrj|}n\| d¡rŽ|dkrŽ| |vrŽ||7}n8|dkr¸|dkr¸| |¡d}| |¡nd}| |¡|d t|ƒkr,| d¡rô|dkrô| |¡q,| d¡r,|dkr,| |¡q,q,|S) a‘ Dictionary-based maximal matching word segmentation, constrained by Thai Character Cluster (TCC) boundaries, and combining tokens that are parts of the same named-entity. :param str text: text to be tokenized into words :param list taglist: a list of named entity tags to be used :param class tagger: NER tagger engine :return: list of words, tokenized from the text F)ÚposÚÚOéNzB-zI-é)Ú isinstanceÚstrÚtagÚ enumerateÚ startswithÚappendÚlen) rrZtaggerZ tagged_wordsÚwordsZcombining_wordÚidxZ curr_wordZcurr_tagr©rúC/usr/local/lib/python3.9/dist-packages/pythainlp/tokenize/nercut.pyÚsegments> ÿþý      rN) Ú__doc__ÚtypingrrZpythainlp.tag.named_entityrZ_thainerrrrrrrÚs   ö õ