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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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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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| 18 |
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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Abstract:
In a Natural Language Processing System which takes English as the source input lan-guage, the syntactic roles of the prepositional phrases in a sentence are difficult to identify. A large number of ambiguities may result from these phrases. Traditional rule-based approaches to this problem rely heavily on general linguistic knowledge, complicated knowledge bases and sophisticated control mechanism. When uncertainty about the attachment patterns is en-countered, some heuristics and ad hoc procedures are adopted to assign attachment preference for disambiguation. Hence, although the literatures about this topic are abundant, there is no guarantee of the objectiveness and optimality of these approaches. In this paper, a probabilistic semantic model is proposed to resolve the PP attachment problem without using complicated knowledge bases and control mechanism. This approach elegantly integrates the linguistic model for semantics interpretation and the objective char-acteristics of the probabilistic Semantic Score model. Hence, it will assign a much more objective preference measure to each ambiguous attachment pattern. It is found that approx-imately 90 % of the PP attachment problem in computer manuals can be solved with this
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URL: http://www.cs.nccu.edu.tw/~chaolin/papers/rocling90.pdf
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.64.6981
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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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