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1
The Multilingual Semantic Web (Dagstuhl Seminar 12362)
Buitelaar, Paul; Choi, Key-Sun; Cimiano, Philipp. - : Schloss Dagstuhl - Leibniz-Zentrum fuer Informatik, 2013. : Dagstuhl Reports. Dagstuhl Reports, Volume 2, Issue 9, 2013
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2
Improving the Precision of Lexicon-to-Ontology Alignment Algorithms
In: http://www.mt-archive.info/amta-1997-khan.pdf (1997)
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3
The multifunctionality of discourse markers
In: http://www.isi.edu/natural-language/people/hovy/papers/95dp-egmond.pdf (1995)
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4
Parsimonious and Profligate Approaches to the Question of Discourse Structure Relations
In: http://acl.ldc.upenn.edu/W/W90/W90-0117.pdf (1990)
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5
New possibilities in machine translation
In: http://acl.ldc.upenn.edu/H/H89/H89-2015.pdf (1989)
Abstract: There is a growing need for language translation of documents in commerce, government, science, and international organizations. At the same time, translation by computer (MT) is reaching the stage where it can deliver significant cost savings (systems are being sold in Japan that reputedly reduce the time required for translation by up to 50%). Although fully automated high-quality translation is technically not feasible today or in the near future, a number of recent theoretical developments make possible MT systens that are more powerful and effective than existing ones. These developments include: better representation techniques, a clearer understanding of semantics for translation, more complete grammars, and better generation and parsing technology. By making optimal use of existing technology, new MT projects can reach a sophisticated level of performance within a short time. This paper provides reasons for starting a new MT program and recommends the establishment of three small MT projects that address the same domain but use different theoretical frameworks.
URL: http://acl.ldc.upenn.edu/H/H89/H89-2015.pdf
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.421.1277
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6
1 Natural Language Processing and Machine Translation Encyclopedia of Language and Linguistics, 2nd ed. (ELL2). Machine Translation: Interlingual Methods
In: http://www.umiacs.umd.edu/users/bonnie/Publications/Attic/Dorr2004g.pdf
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7
Machine Translation: Interlingual Methods
In: ftp://ftp.umiacs.umd.edu/pub/bonnie/Interlingual-MT-Dorr-Hovy-Levin.pdf
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8
Digital Object Identifier 10.4230/DagRep.2.9.15 1 Executive Summary
In: http://drops.dagstuhl.de/opus/volltexte/2013/3788/pdf/dagrep_v002_i009_p015_s12362.pdf
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9
NEW POSSIB IL IT IES IN MACHINE TRANSLAT ION
In: http://www.mt-archive.info/SpNL-1989-Hovy-1.pdf
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10
ARTIFICIAL INTELLIGENCE 153 Pragmatics and Natural Language Generation*
In: http://gel.msu.edu/classes/tc848/papers/Hovy.Pragmatics.and.NL.pdf
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11
Computational and Conversational Discourse: Burning Issues--An
In: http://acl.ldc.upenn.edu/J/J98/J98-2011.pdf
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12
Parsimonious and Profligate: How Many and Which Discourse Structure Relations?
In: http://www.isi.edu/natural-language/people/hovy/papers/93discproc.pdf
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13
TWO TYPES OF PLANNING IN LANGUAGE GENERATION
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14
PLANNING COHERENT MULTISENTENTIAL TEXT
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