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    ACL
    2009
    149views Computational Linguistics» more  ACL 2009»
    The Contribution of Linguistic Features to Automatic Machine Translation Evaluation
    13 years 9 months ago
    The Contribution of Linguistic Features to Automatic Machine Translation Evaluation
    Download  www.aclweb.org
    A number of approaches to Automatic MT Evaluation based on deep linguistic knowledge have been suggested. However, n-gram based metrics are still today the dominant approach. The ...
    Enrique Amigó, Jesús Giménez,...
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    ACL
    2009
    76views Computational Linguistics» more  ACL 2009»
    Semi-Supervised Cause Identification from Aviation Safety Reports
    13 years 9 months ago
    Semi-Supervised Cause Identification from Aviation Safety Reports
    Download  www.hlt.utdallas.edu
    Isaac Persing, Vincent Ng
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    ACL
    2009
    128views Computational Linguistics» more  ACL 2009»
    Revisiting Pivot Language Approach for Machine Translation
    13 years 9 months ago
    Revisiting Pivot Language Approach for Machine Translation
    Download  www.aclweb.org
    This paper revisits the pivot language approach for machine translation. First, we investigate three different methods for pivot translation. Then we employ a hybrid method combin...
    Hua Wu, Haifeng Wang
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    ACL
    2009
    106views Computational Linguistics» more  ACL 2009»
    What lies beneath: Semantic and syntactic analysis of manually reconstructed spontaneous speech
    13 years 9 months ago
    What lies beneath: Semantic and syntactic analysis of manually reconstructed spontaneous speech
    Download  www.clsp.jhu.edu
    Spontaneously produced speech text often includes disfluencies which make it difficult to analyze underlying structure. Successful reconstruction of this text would transform thes...
    Erin Fitzgerald, Frederick Jelinek, Robert Frank
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    ACL
    2009
    136views Computational Linguistics» more  ACL 2009»
    Application-driven Statistical Paraphrase Generation
    13 years 9 months ago
    Application-driven Statistical Paraphrase Generation
    Download  www.aclweb.org
    Paraphrase generation (PG) is important in plenty of NLP applications. However, the research of PG is far from enough. In this paper, we propose a novel method for statistical par...
    Shiqi Zhao, Xiang Lan, Ting Liu, Sheng Li
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    ACL
    2009
    105views Computational Linguistics» more  ACL 2009»
    Source-Language Entailment Modeling for Translating Unknown Terms
    13 years 9 months ago
    Source-Language Entailment Modeling for Translating Unknown Terms
    Download  www.aclweb.org
    This paper addresses the task of handling unknown terms in SMT. We propose using source-language monolingual models and resources to paraphrase the source text prior to translatio...
    Shachar Mirkin, Lucia Specia, Nicola Cancedda, Ido...
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    ACL
    2009
    94views Computational Linguistics» more  ACL 2009»
    Dependency Based Chinese Sentence Realization
    13 years 9 months ago
    Dependency Based Chinese Sentence Realization
    Download  ir.hit.edu.cn
    This paper describes log-linear models for a general-purpose sentence realizer based on dependency structures. Unlike traditional realizers using grammar rules, our method realize...
    Wei He, Haifeng Wang, Yuqing Guo, Ting Liu
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    ACL
    2009
    104views Computational Linguistics» more  ACL 2009»
    Investigations on Word Senses and Word Usages
    13 years 9 months ago
    Investigations on Word Senses and Word Usages
    Download  www.aclweb.org
    The vast majority of work on word senses has relied on predefined sense inventories and an annotation schema where each word instance is tagged with the best fitting sense. This p...
    Katrin Erk, Diana McCarthy, Nicholas Gaylord
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    ACL
    2009
    112views Computational Linguistics» more  ACL 2009»
    K-Best A* Parsing
    13 years 9 months ago
    K-Best A* Parsing
    Download  www.eecs.berkeley.edu
    A parsing makes 1-best search efficient by suppressing unlikely 1-best items. Existing kbest extraction methods can efficiently search for top derivations, but only after an exhau...
    Adam Pauls, Dan Klein
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    ACL
    2009
    130views Computational Linguistics» more  ACL 2009»
    Unsupervised Learning of Narrative Schemas and their Participants
    13 years 9 months ago
    Unsupervised Learning of Narrative Schemas and their Participants
    Download  cs.stanford.edu
    We describe an unsupervised system for learning narrative schemas, coherent sequences or sets of events (arrested(POLICE,SUSPECT), convicted( JUDGE, SUSPECT)) whose arguments are ...
    Nathanael Chambers, Dan Jurafsky
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