... model for joint chinese word segmentationand part-of-speech tagging. InProceedings of ACL.Wenbin Jiang, Haitao Mi, and Qun Liu. 2008b. Word latticererankingforchinesewordsegmentation and part-of-speech ... ACL and AFNLPAn Error-Driven Word- Character Hybrid Model for Joint ChineseWordSegmentationand POS Tagging Canasai Kruengkrai†‡ and Kiyotaka Uchimoto‡ and Jun’ichi Kazama‡Yiou Wang‡ and ... discriminative word- character hybrid model for joint Chi-nese wordsegmentationand POS tagging. Our word- character hybrid model offershigh performance since it can handle bothknown and unknown words....
... model for integrated morphological and syntactic parsing. First and foremost, we cur-rently know of no other same effort in parsing thestructures of Chinese words, and we have to anno-tate word ... many efforts to in-tegrate Chineseword segmentation, part-of-speech tagging and parsing (Wu and Zixin, 1998; Zhou and Su, 2003; Luo, 2003; Fung et al., 2004). However,in these research all words ... 2003. Chinesewordsegmentation ascharacter tagging. Computational Linguistics and Chinese Language Processing, 8(1):29–48.Yue Zhang and Stephen Clark. 2007. Chinese segmenta-tion with a word- based...
... in the context of Chinese word segmentationand part-of-speech tagging, where no segmentationand POS tagging standards are widely accepted due to thelack of morphology in Chinese. Experi-ments ... that when word segmenta-tion and POS tagging are conducted jointly, theperformance forsegmentation improves since thePOS tags provide additional information to word segmentation (Ng and Low, ... pars-ing (and translation).Experiments adapting from PD to CTB are con-ducted for two tasks: wordsegmentation alone, and joint segmentationand POS tagging (JointS&T). The performance...
... the same Chinese wordsegmentation F-measure, the number of bigrams in the model can be reduced by up to 90%. Correlation be-tween language model perplexity and word segmentation performance ... model for Chinese word segmentation. It differentiates from the previous pruning approaches in two respects. First, the pruning criterion is based on performance variation of word segmentation. ... Gao, Mu Li, Andi Wu, and Chang-Ning Huang. 2005. ChineseWordSegmentationand Named Entity Recognition: A Pragmatic Approach. Computational Linguistics, 31(4): 531-574. Jianfeng Gao and Min...
... UK{yue.zhang,stephen.clark}@comlab.ox.ac.ukAbstract For Chinese POS tagging, word segmentation is a preliminary step. To avoid error propa-gation and improve segmentation by utilizingPOS information, segmentationand tagging can be performed ... segmentationand POS tagging using an HMM-based approach. Word information isused to process known-words, and character infor-mation is used for unknown words in a similar wayto Ng and Low (2004). ... (2002) and are specific to Chinese, are shown in Table 2.The wordsegmentation features are extractedfrom word bigrams, capturing word, word length and character information in the context. The word length...
... training set consisting of 5448words, and considered alternative unlabeled train-ing sets, (5210 words), (10,208 words), and (25,145 words), consisting of the same, 2 times and 5 times as many sentences ... programming for computing the gradient, and thereby allows us toperform efficient iterative ascent for training. Weapply our new training technique to the problem ofsequence labeling and segmentation, ... observationsequence, define the matrix randomvariable bywhereHere is the edge with labels and is the vertex with label . For each index define the for- ward vectors with base case and recurrenceSimilarly,...
... and joint segmentation and part-of-speech tagging. On the Penn Chinese Treebank 5.0, we obtain an error reduction of18.5% on segmentationand 12% on joint seg-mentation and part-of-speech tagging ... that segmentationand POS tagging taskis to divide a character sequence into several subse-quences and label each of them a POS tag.It is a better idea to perform segmentation and POS tagging ... p(position i −l), and select for position i a N-best listof candidate results from all these candidates. Whenwe derive a candidate result from a word- POS pairp and a candidate q at prior...
... inter-mediate sub -word structure for joint segmentation and tagging. Since the sub-words are large enoughin practice, the decoding for POS tagging over sub-words is efficient. Finally, the Chinese language ... 1385–1394,Portland, Oregon, June 19-24, 2011.c2011 Association for Computational LinguisticsA Stacked Sub -Word Model for Joint ChineseWordSegmentation and Part-of-Speech Tagging Weiwei ... MA,October. Association for Computational Linguistics.Ruiqiang Zhang, Genichiro Kikui, and Eiichiro Sumita.2006. Subword-based tagging by conditional randomfields forChineseword segmentation. In...
... Chinese word segmentation is therefore the first step for any Chinese information processing system[ 1]. Almost all methods forChineseword segmentation developed so far, both statistical and ... Automatic Word Segmentation System for Written Chinese Texts", Journal of Chinese Information Processing, Vol. 1, No.2, 1987 (in Chinese) [2] Fan C.K.,Tsai WH., "Automatic Word Identification ... a Chinese 1268 Chinese WordSegmentation without Using Lexicon and Hand-crafted Training Data Sun Maosong, Shen Dayang*, Benjamin K Tsou** State Key Laboratory of Intelligent Technology and...
... proposed a subword-based tagging for Chinesewordsegmentation to improvethe existing character-based tagging. Thesubword-based tagging was implementedusing the maximum entropy (MaxEnt) and the ... methodswith Chineseword segmentation, with which our re-sults were compared. Section 5 provides the con-cluding remarks and outlines future goals.2 Chinesewordsegmentation frameworkOur wordsegmentation ... dictionary-based N-gram wordsegmentationfor segmenting IVwords, a maximum entropy subword-based tagger for recognizing OOVs, and a confidence-dependent word disambiguation used for merging the resultsof...
... book for more information.The MOS certication exams for the Ofce 2010 programs and SharePoint are performance based and require you to complete business-related tasks in the program for which ... highlight and comment on document content, and search for specic text by using the commands on the Tools menu. xliGetting Support and Giving FeedbackErrataWe’ve made every effort to ensure ... ExamCandidates for MOS-level certication are expected to successfully complete a wide range of standard business tasks, such as formatting a document or worksheet and its content; creating and...
... RANLPworkshop, pages 19–25.Wenbin Jiang, Haitao Mi, and Qun Liu. 2008. Word latticererankingfor chineseword segmentation and part-of-speech tagging. In Proceedings of the 22ndInternational Conference ... is the candidate sentence, lDF, lVF and lGFare three lattices one for each definition field, cov-erage is the fraction of words of the input sentencecovered by the three lattices, and support ... than for anypair of sentences in T belonging to two differentclusters.3.2.3 Word- Class Lattice ConstructionFinally, the third step consists of the constructionof a Word- Class Lattice for...
... Christoper C. Yang and K. W. Li. 2005. A Heuristic Method Based on a Statistical Approach forChinese Text Segmentation. Journal of the American Society for Information Science and Technology, ... corrected candidate words are suggested by the system from the word dictionary, according to some metric to measure the similarity between the target wordand its candidate word, such as edit-distance ... Gao, Mu Li and Chang-Ning Huang. 2003. Improved Source-Channel Models forChineseWord Segmentation. Proceedings of the 41st Annual Meet-ing of the ACL, pp. 272-279 Seung-Shik Kang and Chong-Woo...
... Processing, pp. 147-173.Gao, J. and A. Wu and Mu Li and C N.Huang and H. Li and X. Xia and H. Qin. 2004. Adaptive Chinese Word Segmentation. In Proceedings of ACL-2004.Meng, H. and C. W. Ip. 1999. An ... N. 2003. ChineseWordSegmentation as Charac-ter Tagging. Computational Linguistics and Chinese Language Processing. 8(1): 29-48Redington, M. and N. Chater and C. Huang and L. Chang and K. Chen. ... that Chinese wordsegmentation is the classifi-cation of a string of character-boundaries(CB’s) into either word- boundaries (WB’s) and non -word- boundaries. In Chinese, CB’sare delimited and...
... likelihoods.Deterministic constraints for character tagging For the character tagging formulation of Chinese word segmentation, we discussed two tagsets IB and BMES in Section 3.1. With respect ... manner.5.4 Chineseword segmentation Like other tagging problems, Viterbi-style decodingis widely used for character taggingfor CWS. Wetransform tagged character sequences to word seg-mentations ... of a wordand Iall other positions; and 2) BMES: where B, M and Erepresent the beginning, middle and end of a multi-character word respectively, and S tags a single-character word. For example,...