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MARYLAND UNIV COLLEGE PARK INST FOR ADVANCED COMPUTER STUDIES (31)
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Hits 1 – 20 of 97
1
Statistical modality tagging from rule-based annotations and crowdsourcing ...
Prabhakaran, Vinodkumar
;
Bloodgood, Michael
;
Diab, Mona
. - : arXiv, 2015
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2
Use of Modality and Negation in Semantically-Informed Syntactic MT ...
Baker, Kathryn
;
Bloodgood, Michael
;
Dorr, Bonnie J.
. - : arXiv, 2015
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3
A Modality Lexicon and its use in Automatic Tagging ...
Baker, Kathryn
;
Bloodgood, Michael
;
Dorr, Bonnie J.
. - : arXiv, 2014
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4
Semantically-Informed Syntactic Machine Translation: A Tree-Grafting Approach ...
Baker, Kathryn
;
Bloodgood, Michael
;
Callison-Burch, Chris
. - : arXiv, 2014
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5
Computing Lexical Contrast ...
Mohammad, Saif M.
;
Dorr, Bonnie J.
;
Hirst, Graeme
. - : arXiv, 2013
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6
Use of Modality and Negation in Semantically-Informed Syntactic MT
Baker, Kathryn
;
Bloodgood, Michael
;
Dorr, Bonnie J
...
In: DTIC (2012)
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7
Statistical Modality Tagging from Rule-based Annotations and Crowdsourcing
Prabhakaran, Vinodkumar
;
Bloodgood, Michael
;
Diab, Mona
. - : Association for Computational Linguistics, 2012
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8
Use of Modality and Negation in Semantically-Informed Syntactic MT
Bloodgood, Michael
;
Filardo, Nathaniel
;
Levin, Lori
. - : MIT Press, 2012
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9
Interlingual annotation of parallel text corpora: a new framework for annotation and evaluation
Siddharthan, Advaith
;
Habash, Nizar
;
Passonneau, Rebecca J.
...
In:
Natural language engineering. - Cambridge : Cambridge University Press
16 (2010) 3, 197-243
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OLC Linguistik
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10
TER-Plus: paraphrase, semantic, and alignment enhancements to translation edit rate
Schwartz, Richard
;
Snover, Matthew G.
;
Dorr, Bonnie Jean
...
In:
Machine translation. - Dordrecht [u.a.] : Springer Science + Business Media
23 (2010) 2-3, 117-127
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OLC Linguistik
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11
Symbolic-to-statistical hybridization: extending generation-heavy machine translation
Dorr, Bonnie Jean
;
Monz, Christof
;
Habash, Nizar
In:
Machine translation. - Dordrecht [u.a.] : Springer Science + Business Media
23 (2010) 1, 23-63
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OLC Linguistik
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12
Semantically-Informed Syntactic Machine Translation: A Tree-Grafting Approach ...
Baker, Kathryn
;
Bloodgood, Michael
;
Callison-Burch, Chris
. - : Digital Repository at the University of Maryland, 2010
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13
Semantically-Informed Syntactic Machine Translation: A Tree-Grafting Approach
Baker, Kathryn
;
Piatko, Christine
;
Miller, Scott
;
Callison-Burch, Chris
;
Bloodgood, Michael
;
Filardo, Nathaniel
;
Levin, Lori
;
Dorr, Bonnie
. - 2010
Abstract:
We describe a unified and coherent syntactic framework for supporting a semantically-informed syntactic approach to statistical machine translation. Semantically enriched syntactic tags assigned to the target-language training texts improved translation quality. The resulting system significantly outperformed a linguistically naive baseline model (Hiero), and reached the highest scores yet reported on the NIST 2009 Urdu-English translation task. This finding supports the hypothesis (posed by many researchers in the MT community, e.g., in DARPA GALE) that both syntactic and semantic information are critical for improving translation quality—and further demonstrates that large gains can be achieved for low-resource languages with different word order than English. ; We thank Basis Technology Corporation for their generous contribution of software components to this work. This work is supported, in part, by the Johns Hopkins Human Language Technology Center of Excellence, by the National Science Foundation under grant IIS-0713448, and by BBN Technologies under GALE DARPA/IPTO Contract No. HR0011-06-C-0022. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the sponsor.
Keyword:
artificial intelligence
;
computational linguistics
;
computer science
;
human language technology
;
machine learning
;
machine translation
;
modality
;
named entities
;
natural language processing
;
negation
;
semantically-informed machine translation
;
semantically-informed syntactic machine translation
;
statistical machine translation
;
statistical methods
;
translation technology
;
tree-grafting
;
Urdu-English translation
URL:
https://doi.org/10.13016/M2H59F
http://hdl.handle.net/1903/15579
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14
A Modality Lexicon and its use in Automatic Tagging
Dorr, Bonnie
;
Bloodgood, Michael
;
Filardo, Nathaniel
. - : European Language Resources Association, 2010
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15
A cost-effective lexical acquisition process for large-scale thesaurus translation
Lin, Jimmy
;
Murray, G. Craig
;
Dorr, Bonnie Jean
...
In:
Language resources and evaluation. - Dordrecht [u.a.] : Springer
43 (2009) 1, 27-40
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16
Language Understanding Annotation Corpus
Diab, Mona
;
Dorr, Bonnie
;
Levin, Lori
. - : Linguistic Data Consortium, 2009. : https://www.ldc.upenn.edu, 2009
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17
Language Understanding Annotation Corpus ...
Diab, Mona
;
Dorr, Bonnie
;
Levin, Lori
. - : Linguistic Data Consortium, 2009
BASE
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18
The ACL Anthology Reference Corpus: A Reference Dataset for Bibliographic Research in Computational Linguistics
Bird, Steven
;
Dale, Robert
;
Dorr, Bonnie J
. - : Paris : European Language Resources Association (ELRA), 2008
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19
Challenges in Building an Arabic-English GHMT System with SMT Components ...
Habash, Nizar Y.
;
Dorr, Bonnie
;
Monz, Christof
. - : Columbia University, 2006
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20
Text Summarization Evaluation: Correlating Human Performance on an Extrinsic Task with Automatic Intrinsic Metrics
President, Stacy F.
;
Dorr, Bonnie J.
In: DTIC (2006)
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