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1
An EM algorithm for context-based searching and disambiguation with application to synonym term alignment
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
In: http://nlp.csie.ncnu.edu.tw/~shin/doc/acl04/acl04.sighan.v08R.Jing.Shin.Chang.PDF (2004)
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3
A preliminary study on probabilistic models for Chinese abbreviations
In: http://www.aclweb.org/anthology/W/W04/W04-1102.pdf (2004)
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4
A customizable, self-learnable parameterized MT system: the next generation
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
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
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
In: http://nlp.csie.ncnu.edu.tw/~shin/doc/overview.cbso.tech.ps.gz (1996)
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8
Automatic construction of a Chinese electronic dictionary
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
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
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
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
In: http://www.mt-archive.info/TMI-1993-Chang.pdf (1993)
Abstract: In this paper, a corpus-based approach for acquiring transfer rules and selecting the most preferred transfer between a language pair is proposed. A transfer score is defined to measure the preference of different mappings between the source-target sentence pair, and a generation score is defined to provide a probabilistic mechanism for finding the most preferred generation pattern. An algorithm is proposed to find the appropriate transfer units within a syntax tree and the corresponding transfer rules. By applying such an algorithm, the preferred generation rules can be learned directly from the target language so that the generation of the target sentences can be tuned to follow the grammar and style of the target language, instead of being bounded by the analysis grammar of the source language. 1. Overview of Transfer Models In a transfer-based machine translation system, a source sentence is analyzed into an intermediate representation for the source language. The intermediate representation is then transferred into its target equivalent. Finally, the target surface strings are generated according to the intermediate representation of the target sentence. More specifically, the major tasks for
URL: http://www.mt-archive.info/TMI-1993-Chang.pdf
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.331.7134
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13
Statistical models for word segmentation and unknown resolution
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
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
In: http://acl.ldc.upenn.edu/P/P92/P92-1023.pdf (1992)
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16
Why Corpus-Based Statistics-Oriented Machine Translation
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
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
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
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
In: http://nlp.csie.ncnu.edu.tw/~shin/doc/rocling/CLTools.ps.Z
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