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A robust cross-style bilingual sentences alignment mmodel
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In: http://www.bdc.com.tw/kysu/SU_Reports/B_Conference/B1_A Lobust Cross-Style Bilingnal Sentences Alignment Model.pdf (2002)
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A robust cross-style bilingual sentences alignment mmodel
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In: http://www.mt-archive.info/Coling-2002-Kueng.pdf (2002)
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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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ii SPONSORS: The Association for Computational Linguistics (ACL) SIGDAT (ACL's SIG for Linguistic Data and Corpus-based Approaches to NLP) INVITED SPEAKER:
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In: http://aclweb.org/anthology/W/W98/W98-15.pdf (1998)
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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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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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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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A Level Synchronous Approach to Ill-formed Sentence Parsing and Error Recovery
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In: http://www.aclclp.org.tw/clclp/v4n1/v4n1a2.pdf (1995)
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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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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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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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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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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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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
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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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| 15 |
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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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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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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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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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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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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