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A Method for Automatic POS Guessing of Chinese Unknown Words
... 2,234 words with a credi- bility score lower than the threshold. These words are then put through the revision ...2,234 words pass the outstanding examina- ...disyllabic words reaching 87.90% ... See full document
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Hybrid Methods for POS Guessing of Chinese Unknown Words
... Unknown words constitute a major source of diffi- culty for Chinese part-of-speech (POS) tagging, yet relatively little work has been done on POS guess- ing of Chinese ... See full document
6
Semantic Classification of Chinese Unknown Words
... 56,830 words in the ...CiLin words, a development set of 10% of CiLin words, and a test set of 10% CiLin ...All words in the test set are assumed to be unknown, which means the semantic ... See full document
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Hybrid Models for Semantic Classification of Chinese Unknown Words
... the words in the development and test data in the testing stage worsens the data-sparseness prob- lem for knowledge-based models, as some cate- gories have few member words, and some char- acters appear in ... See full document
8
Translating Chinese Unknown Words by Automatically Acquired Templates
... a method that utilizes a translation template model to translate Chinese unknown ...accurate unknown word translations for an existing SMT system and improve the translation ... See full document
5
Extract Chinese Unknown Words from a Large scale Corpus Using Morphological and Distributional Evidences
... representative method of using mor- phological evidence for Chinese unknown word (UW) extraction is Chinese word segmentation (CWS) model, and the method of using distributional ... See full document
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The Floating Arabic Dictionary: An Automatic Method for Updating a Lexical Database through the Detection and Lemmatization of Unknown Words
... analyse unknown words with all possible clitics, morpho- syntactic affixes and all relevant alteration operations that include insertion, assimilation, and ... See full document
14
POS Disambiguation and Unknown Word Guessing with Decision Trees
... At a next phase, for all words relative to a specific ambiguity scheme or for all unknown words, we collected from the tagged corpus their automatically and manually assigned tags along [r] ... See full document
8
Guessing Parts of Speech of Unknown Words Using Global Information
... Penn Chinese Treebank corpus ...are POS tagged corpora in Chinese(C), English(E) or Japanese(J), and they are split into three portions; training data, test data and unla- beled ...and POS ... See full document
8
Unknown Word Detection for Chinese by a Corpus-based Learning Method
... an unknown word is encountered since all Chinese characters can either morphemes or words and there are no blanks to mark word ...an unknown word or whether it stands alone as a ...compound ... See full document
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A Hybrid Model for Sense Guessing of Chinese Unknown Words
... real unknown words identification process: words occurring in February-June/1998 period of the Contemporary Chinese Corpus, but not in the January/1998 period of the corpus, Cilin and HowNet, ... See full document
10
Automatic Adaptation of Annotation Standards: Chinese Word Segmentation and POS Tagging – A Case Study
... our method we choose Chinese word segmentation and part-of-speech tagging, where the problem of incompatible an- notation standards is one of the most evident: so far no segmentation standard is widely ... See full document
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Automatic Semantic Classification for Chinese Unknown Compound Nouns
... of automatic se- mantic classification for compounds is that the meaning of a compound is the semantic com- position of its morphemic components and the head morpheme determines the major semantic class of this ... See full document
7
Mining Informal Language from Chinese Microtext: Joint Word Recognition and Segmentation
... As indicated by the bold figures in Table 3, the FCRF performs slightly better than the sequential LCRF (p < 0.05) – a weaker trend when com- pared with the CWS case. As an example, the se- quential LCRF method ... See full document
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Understanding of unknown medical words
... of words will be used; (3) analyze the evolution of understanding of words taking into account a larger set of components; (4) validate the observations with tests for statistical signifi- cance; (5) ... See full document
10
Unknown quantity: Joyce's words
... The ‘unknown quantity’ for O’Nolan is Irish, whose legacy allows a writer to inhabit English yet stand askew to it, a resident alien whose ambiguous relation to the tongue echoes the ambiguity of Ireland’s ... See full document
8
Processing Unknown Words in HPSG
... Processing Unknown Words in HPSG Processing Unknown Words in HPSG Petra Barg and M a r k u s Walther* S e m i n a r ftir A l l g e m e i n e S p r a c h w i s s e n s c h a f t H e i n r i c h ~ H e i[.] ... See full document
5
Translating Unknown Words by Analogical Learning
... Recently and more closely related to the approach we described, Callison-Burch et al. (2006) proposed to replace an unknown phrase in a source sentence by a paraphrase. Paraphrases in their work are ac- quired ... See full document
10
Processing Unknown Words in HPSG
... Generalizable information exhibits another peculiarity: we need a disjoint auxiliary type u_g to correctly mark the initial unknown information state This is because 'content' types like[r] ... See full document
5
Complete Syntactic Analysis Bases on Multi level Chunking
... are assumed to range over a finite label alphabet. For example, X might range over natural language sentences and Y range over part-of-speech tags of those sentences, a finite label alphabet is the set of possible ... See full document
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