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GPSM: A GENERALIZED PROBABILISTIC SEMANTIC MODEL FOR AMBIGUITY RESOLUTION
Jing-Shin Chang
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Yih-Fen Luo
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Keh-Yih Su
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Paper Details:
Month: June
Year: 1992
Location: Newark, Delaware, USA
Venue:
ACL |
Citations
URL
A New Quantitative Quality Measure for Machine Translation Systems
Keh-Yih Su
|
Ming-Wen Wu
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Jing-Shin Chang
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Generalizing Automatically Generated Selectional Patterns
Ralph Grishman
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John Sterling
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SMOOTHING OF AUTOMATICALLY GENERATED SELECTIONAL CONSTRAINTS
Ralph Grishman
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John Sterling
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Training and Scaling Preference Functions for Disambiguation
Hiyan Alshawi
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David Carter
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Robust Learning, Smoothing, and Parameter Tying on Syntactic Ambiguity Resolution
Tung-Hui Chiang
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Yi-Chung Lin
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Keh-Yih Su
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Generalizing Case Frames Using a Thesaurus and the MDL Principle
Hang Li
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Naoki Abe
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DECISION LISTS FOR LEXICAL AMBIGUITY RESOLUTION: Application to Accent Restoration in Spanish and French
David Yarowsky
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INVITED TALK: Qualitative and Quantitative Designs for Speech Translation
Hiyan Alshawi
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A Probabilistic Disambiguation Method Based on Psycholinguistic Principles
Hang Li
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Guiding a Well-Founded Parser with Corpus Statistics
Amon Seagull
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Lenhart Schubert
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No URLs Found
Field Of Study
Linguistic Trends
Syntax
Task
Tagging
Knowledge Acquisition
Machine Translation
Spoken Language Processing
Language
English
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