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    ACL
    2003
    116views Computational Linguistics» more  ACL 2003»
    A Machine Learning Approach to Pronoun Resolution in Spoken Dialogue
    15 years 2 months ago
    A Machine Learning Approach to Pronoun Resolution in Spoken Dialogue
    Download  acl.ldc.upenn.edu
    We apply a decision tree based approach to pronoun resolution in spoken dialogue. Our system deals with pronouns with NPand non-NP-antecedents. We present a set of features design...
    Michael Strube, Christoph Müller
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    COLING
    2000
    103views Computational Linguistics» more  COLING 2000»
    Application of Analogical Modelling to Example Based Machine Translation
    15 years 1 months ago
    Application of Analogical Modelling to Example Based Machine Translation
    Download  acl.ldc.upenn.edu
    This paper describes a self-modelling, incremental algorithm for learning translation rules from existing bilingual corpora. The notions of supracontext and subcontext are extende...
    Christos Malavazosi, Stelios Piperidis
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    COLING
    1994
    76views Computational Linguistics» more  COLING 1994»
    Machine-Readable Dictionaries in Text-to-Speech Systems
    15 years 1 months ago
    Machine-Readable Dictionaries in Text-to-Speech Systems
    Download  acl.ldc.upenn.edu
    This paper presents the results of an experiment usiug machine-readable dictionaries (Mill)s) and corpora for building concatenativc units for text to speech (T'PS) systems. ...
    Judith Klavans, Evelyne Tzoukermann
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    81
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    NAACL
    1994
    128views Computational Linguistics» more  NAACL 1994»
    The Automatic Component of the LINGSTAT Machine-Aided Translation System
    15 years 1 months ago
    The Automatic Component of the LINGSTAT Machine-Aided Translation System
    Download  acl.ldc.upenn.edu
    We present the newest implementation of the LINGSTAT machine-aided translation system. The moat signiflcsat change from earlier versions is a new set of modules that produce a dra...
    Jonathan Yamron, James Cant, Anne Demedts, Taiko D...
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    123
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    COLING
    2010
    118views Computational Linguistics» more  COLING 2010»
    Semantic Role Features for Machine Translation
    14 years 7 months ago
    Semantic Role Features for Machine Translation
    Download  www.cs.rochester.edu
    We propose semantic role features for a Tree-to-String transducer to model the reordering/deletion of source-side semantic roles. These semantic features, as well as the Tree-to-S...
    Ding Liu, Daniel Gildea
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