[PDF] Top 20 Using Word Support Model to Improve Chinese Input System
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Using Word Support Model to Improve Chinese Input System
... bigram model (Lin and Tsai, 1987; Gu et ...a system makes a mistake. The statistical language model (SLM) used in the statistical approach requires less effort and has been widely adopted in com- ... See full document
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A Chinese Word Segmentation System Based on Structured Support Vector Machine Utilization of Unlabeled Text Corpus
... nese word segmentation tasks in CIPS- SIGHAN-2010 ...the Chinese inner phonol- ogy information in all ...which Chinese inner phonology information was used as one hidden layer and the BIO tags as an- ... See full document
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A Discriminative Latent Variable Chinese Segmenter with Hybrid Word/Character Information
... to Chinese word segmentation treat the problem as a character- based tagging ...variable model, which uses hybrid in- formation based on both word sequences and character ...and improve ... See full document
9
Generalizing Word Lattice Translation
... Chinese word segmentation. A necessary first step in translating Chinese using standard models is segmenting the character stream into a sequence of ...words. Word-lattice translation ... See full document
9
Chinese Word Segmentation with Conditional Support Vector Inspired Markov Models
... in Chinese Word Segmentation ...to improve the CWS tagging accuracy by structured support vector machine (SVM) utilization of unlabeled text ...the Word Segmentation for Simplified ... See full document
7
Pruning False Unknown Words to Improve Chinese Word Segmentation
... one model could cover the weakness of the other ...entropy model to segment the text, then apply a transformational-based model to correct the output of the first ...Markov model to segment ... See full document
12
Can MDL Improve Unsupervised Chinese Word Segmentation?
... segmentation model re- lies on parameters, one needs a way to assign them adequate ...of word-based f-score. In the system by Zhikov et ...a word boundary if the BE is greater than the ... See full document
9
A Joint Model for Unsupervised Chinese Word Segmentation
... joint model for un- supervised Chinese word ...joint model is a combination of the HDP-based model, which is a word-based model, and HMM-based model, which is a ... See full document
10
Context Based Chinese Word Segmentation using SVM Machine Learning Algorithm without Dictionary Support
... Chen, 2003b) accompanied by the development of unknown word extraction or identification technologies (Ma & Chen, 2003a). Besides rule- based approaches, statistic-based approaches in- volved the concept of ... See full document
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Improving the Translation of Discourse Markers for Chinese into English
... a model that generates transitional expressions through using complex sen- tence structure based translation rules alongside a generative transfer model, which is then incorpo- rated into a ... See full document
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Chinese word segmentation model using bootstrapping
... Markov support vector machine (SVM-HMM) is actually a special case of the structural support vector machines proposed by Tsochantaridis et ...powerful model to structure predication problem. It dif- ... See full document
5
Using Word Pair Identifier to Improve Chinese Input System
... 4,539,624 Chinese sen- tences extracted from whole 2001 articles on the United Daily News Website (UDN) in ...the word-pair “ᷕ⚳(China)-㈨ 埻(technique)” with the maximum frequency 26 is used to be the key ... See full document
8
Extraction of Bilingual Technical Terms for Chinese Japanese Patent Translation
... original Chinese–Japanese train- ing corpus with the extracted bilingual multi-word terms filtering by several thresholds (Table 4) and train several Chinese to Japanese SMT systems us- ing the ... See full document
7
Improving Named Entity Recognition for Chinese Social Media with Word Segmentation Representation Learning
... where word boundaries are not readily identified in text, word segmentation is a key first step to generating features for an NER ...While using word boundary tags as features are helpful, the ... See full document
7
Mining Informal Language from Chinese Microtext: Joint Word Recognition and Segmentation
... informal word) and its expec- tation, based on the probabilities of the individual events ...the word frequency alone is not reliable enough to distinguish informal words from uncommon but formal ... See full document
11
Introduction to NJUPT Chinese Spelling Check Systems in CLP 2014 Bakeoff
... language model (LM) to detect and correct possible spelling ...a system and the modules in their system include word segmentation, N-gram model probability estimation, similar character ... See full document
6
A Realistic and Robust Model for Chinese Word Segmentation
... why Chinese word segmentation remains a research topic and not a language technology application after more than twenty years of intensive ...study. Chinese text is typically presented as a ... See full document
14
Neural Networks for Negation Cue Detection in Chinese
... In order to tackle this problem we carried out a small experiment where we post-process the re- sults. We first used the NLPIR toolkit to automati- cally segment the sentence and if the detected cue is part of a ... See full document
5
Chinese Word Segmentation without Using Lexicon and Hand crafted Training Data
... Chinese Word Segmentation without Using Lexicon and Hand crafted Training Data Chinese Word Segmentation without Using Lexicon and Hand crafted Training Data Sun Maosong, Shen Dayang*, Benjamin K Tsou[.] ... See full document
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Effects of Quality Improvement Strategies for Type 2 Diabetes in Bronx, N.Y.
... which focuses on diabetes translation issues such as diabetes education, profes- sional training, and community outreach, several innovative approaches have been developed to improve the quality of diabetes care. ... See full document
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