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An EM algorithm for context-based searching and disambiguation with application to synonym term alignment
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In: http://nlp.csie.ncnu.edu.tw/~shin/doc/PACLIC.2009/EM.CBS.C2C.PACLIC09.2009.1019.v18.15.+proof.pdf (2010)
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| 2 |
A Preliminary Study on Probabilistic Models for Chinese Abbreviations
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In: http://nlp.csie.ncnu.edu.tw/~shin/doc/acl04/acl04.sighan.v08R.Jing.Shin.Chang.PDF (2004)
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A preliminary study on probabilistic models for Chinese abbreviations
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In: http://www.aclweb.org/anthology/W/W04/W04-1102.pdf (2004)
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A customizable, self-learnable parameterized MT system: the next generation
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In: http://www.mt-archive.info/MTS-1999-Su.pdf (1999)
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| 5 |
An Unsupervised Iterative Method for Chinese New Lexicon Extraction
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In: http://nlp.csie.ncnu.edu.tw/~shin/doc/ukw9706f.ps.gz (1997)
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| 6 |
A Multivariate Gaussian Mixture Model for Automatic Compound Word Extraction
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In: http://www.bdc.com.tw/~shin/doc/rocling/cpnr.RocX.final.ps.Z (1997)
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| 7 |
An Overview of Corpus-Based Statistics-Oriented (CBSO) Techniques for Natural Language Processing
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In: http://nlp.csie.ncnu.edu.tw/~shin/doc/overview.cbso.tech.ps.gz (1996)
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Abstract:
A Corpus-Based Statistics-Oriented (CBSO) methodology, which is an attempt to avoid the drawbacks of traditional rule-based approaches and purely statistical approaches, is introduced in this paper. Rule-based approaches, with rules induced by human experts, had been the dominant paradigm in the natural language processing community. Such approaches, however, suffer from serious difficulties in knowledge acquisition in terms of cost and consistency. Therefore, it is very difficult for such systems to be scaled-up. Statistical methods, with the capability of automatically acquiring knowledge from corpora, are becoming more and more popular, in part, to amend the shortcomings of rule-based approaches. However, most simple statistical models, which adopt almost nothing from existing linguistic knowledge, often result in a large parameter space and, thus, require an unaffordably large training corpus for even well-justified linguistic phenomena. The corpus-based statistics-oriented (CBSO) .
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Keyword:
CBSO; class-based language modeling; corpus; knowledge acquisition; natural language
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URL: http://nlp.csie.ncnu.edu.tw/~shin/doc/overview.cbso.tech.ps.gz
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.26.6101
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| 8 |
Automatic construction of a Chinese electronic dictionary
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In: http://www.mt-archive.info/VLC-1995-Chang.pdf (1995)
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| 9 |
A corpus-based two-way design for parameterized mt systems: Rationale, architecture and training issues
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In: http://www.mt-archive.info/TMI-1995-Su.pdf (1995)
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| 10 |
A Corpus-Based Statistics-Oriented Two-Way Design for Parameterized MT Systems: Rationale, Architecture and Training Issues
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In: http://www.bdc.com.tw/~shin/doc/cbso.2way.mt.ps.gz (1995)
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| 11 |
Introduction to Corpus-based Statistics-oriented (CBSO) Techniques
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In: http://www.aclclp.org.tw/clclp/v1n1/v1n1a4.pdf (1994)
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| 12 |
A Corpus-Based Statistics-Oriented Transfer and Generation Model for Machine Translation
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In: http://www.mt-archive.info/TMI-1993-Chang.pdf (1993)
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| 13 |
Statistical models for word segmentation and unknown resolution
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In: http://nlp.csie.ncnu.edu.tw/~shin/doc/sws/sws.PDF (1992)
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| 14 |
GPSM: A Generalized Probabilistic Semantic Model for Ambiguity Resolution
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In: http://nlp.csie.ncnu.edu.tw/~shin/doc/archtran/PDF/gpsm.acl92.2c.PDF (1992)
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| 15 |
GPSM: A Generalized Probabilistic Semantic Model for Ambiguity Resolution
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In: http://acl.ldc.upenn.edu/P/P92/P92-1023.pdf (1992)
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| 16 |
Why Corpus-Based Statistics-Oriented Machine Translation
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In: http://www.mt-archive.info/TMI-1992-Su.pdf (1992)
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| 17 |
The Semantic Score Approach to the Disambiguation of PP Attachment Problem
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In: http://www.cs.nccu.edu.tw/~chaolin/papers/rocling90.pdf (1990)
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| 18 |
Mining Atomic Chinese Abbreviation Pairs with a Probabilistic Single Character Word Recovery Model
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In: http://nlp.csie.ncnu.edu.tw/~shin/doc/LRE/AAP.LRE.0612.v08R.29.short.21.Jing.Shin.Chang.pdf
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| 19 |
A Chinese-to-Chinese Statistical Machine Translation Model for Mining Synonymous Simplified-Traditional Chinese Terms
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In: http://nlp.csie.ncnu.edu.tw/~shin/crs/doc/summit/MTS-2007-Chang-2.pdf
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| 20 |
Computational Tools and Resources for Linguistic Studies
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In: http://nlp.csie.ncnu.edu.tw/~shin/doc/rocling/CLTools.ps.Z
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