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A dependency perspective on the adequacy of tree local multi-component tree adjoining grammar
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LTAG-spinal and the Treebank: a new resource for incremental, dependency and semantic parsing
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Discourse Indicators for Content Selection in Summaization
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In: Departmental Papers (CIS) (2010)
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Using Entity Features to Classify Implicit Discourse Relations
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In: Departmental Papers (CIS) (2010)
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Sense Annotation in the Penn Discourse Treebank
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In: Departmental Papers (CIS) (2008)
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Computational linguistics: A new tool for exploring biopolymer structures and statistical mechanics
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In: Dill, Ken A; Lucas, Adam; Hockenmaier, Julia; Huang, Liang; Chiang, David; & Joshi, Aravind K.(2007). Computational linguistics: A new tool for exploring biopolymer structures and statistical mechanics. Polymer, 48, 4289 - 4300. doi:10.1016/j.polymer.2007.05.018. UC San Francisco: Retrieved from: http://www.escholarship.org/uc/item/235458px (2007)
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Detecting Compositionality of Verb-Object Combinations using Selectional Preferences
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Relative compositionality of multi-word expressions: a study of verb-noun (V-N) collocations
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In: Departmental Papers (CIS) (2005)
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A constructivist dual-representation model of verb inflection
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Language Processing Research and Technology - New Directions
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In: DTIC AND NTIS (1998)
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Anchoring a Lexicalized Tree-Adjoining Grammar for Discourse ...
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Centering: A Framework for Modelling the Local Coherence of Discourse
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In: DTIC AND NTIS (1995)
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Disambiguation of Super Parts of Speech (or Supertags): Almost Parsing
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In: IRCS Technical Reports Series (1995)
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Some Novel Applications of Explanation-Based Learning to Parsing Lexicalized Tree-Adjoining Grammars
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In: IRCS Technical Reports Series (1995)
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A Processing Model for Free Word Order Languages
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In: IRCS Technical Reports Series (1995)
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Korean to English Translation Using Synchronous TAGs ...
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Abstract:
It is often argued that accurate machine translation requires reference to contextual knowledge for the correct treatment of linguistic phenomena such as dropped arguments and accurate lexical selection. One of the historical arguments in favor of the interlingua approach has been that, since it revolves around a deep semantic representation, it is better able to handle the types of linguistic phenomena that are seen as requiring a knowledge-based approach. In this paper we present an alternative approach, exemplified by a prototype system for machine translation of English and Korean which is implemented in Synchronous TAGs. This approach is essentially transfer based, and uses semantic feature unification for accurate lexical selection of polysemous verbs. The same semantic features, when combined with a discourse model which stores previously mentioned entities, can also be used for the recovery of topicalized arguments. In this paper we concentrate on the translation of Korean to English. ... : ps file. 8 pages ...
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Keyword:
Computation and Language cs.CL; FOS Computer and information sciences
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URL: https://arxiv.org/abs/cmp-lg/9410023 https://dx.doi.org/10.48550/arxiv.cmp-lg/9410023
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