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Hits 1 – 20 of 126
1
Lexical and hierarchical topic regression
{viet-an Nguyen
;
Jordan Boyd-graber
;
Philip Resnik
...
In: http://www.umiacs.umd.edu/~jbg/docs/2013_shlda.pdf (2013)
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2
Topic models for dynamic translation model adaptation
{vladimir Eidelman
;
Jordan Boyd-graber
;
Philip Resnik
...
In: http://www.umiacs.umd.edu/~jbg/docs/acl_2012_tm_for_mt.pdf (2012)
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3
Shedding (a thousand points of) light on biased language
Tae Yano
;
Noah A. Smith
;
Philip Resnik
In: http://www.aclweb.org/anthology-new/W/W10/W10-0723.pdf (2010)
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4
Modeling perspective using adaptor grammars
Eric A. Hardisty
;
Philip Resnik
In: http://www.cs.umd.edu/Grad/scholarlypapers/papers/Hardisty.pdf (2010)
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5
Shedding (a thousand points of) light on biased language
Tae Yano
;
Noah A. Smith
;
Philip Resnik
In: http://www.cs.cmu.edu/%7Enasmith/papers/yano%2Bresnik%2Bsmith.wamt10.pdf (2010)
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6
Context-free reordering, finitestate translation
Chris Dyer
;
Philip Resnik
In: http://www.aclweb.org/anthology/N/N10/N10-1128.pdf (2010)
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7
Estimating Semantic Distance Using Soft Semantic Constraints in Knowledge-Source-Corpus Hybrid Models
Yuval Marton
;
Saif Mohammad
;
Philip Resnik
In: http://www.umiacs.umd.edu/~saif/WebDocs/softsem.pdf (2009)
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8
Extending Phrase-Based Decoding with a Dependency-Based Reordering Model
Tim Hunter
;
Philip Resnik
In: http://drum.lib.umd.edu/bitstream/1903/9782/1/LAMP-TR-152.pdf (2009)
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9
Extending Phrase-Based Decoding with a Dependency-Based Reordering Model
Tim Hunter
;
Philip Resnik
In: http://lampsrv02.umiacs.umd.edu/pubs/TechReports/LAMP_152/LAMP_152.pdf (2009)
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10
Improved Statistical Machine Translation Using Monolingually-Derived Paraphrases
Yuval Marton
;
Chris Callison-burch
;
Philip Resnik
In: http://www.mt-archive.info/EMNLP-2009-Marton.pdf (2009)
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11
Soft Syntactic Constraints for Hierarchical Phrased-Based Translation
Yuval Marton
;
Philip Resnik
In: http://www.mt-archive.info/ACL-2008-Marton.pdf (2008)
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12
Soft syntactic constraints for hierarchical phrased-based translation
Yuval Marton
;
Philip Resnik
In: http://www1.ccls.columbia.edu/~ymarton/pub/acl08/MartonResnik_ACL08_SoftSyntacticConstraintsForSMT_final.pdf (2008)
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13
Are multiple reference translations necessary? Investigating the value of paraphrased reference translations in parameter optimization
Nitin Madnani
;
Philip Resnik
;
Bonnie J. Dorr
...
In: http://www.desilinguist.org/pdf/paraphrase-amta08.pdf (2008)
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14
Are multiple reference translations necessary? investigating the value of paraphrased reference translations in parameter optimization
Nitin Madnani
;
Philip Resnik
;
Bonnie J. Dorr
...
In: http://www.mt-archive.info/AMTA-2008-Madnani.pdf (2008)
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15
Crosslanguage parser adaptation between related languages
Daniel Zeman
;
Univerzita Karlova
;
Philip Resnik
In: http://www.mt-archive.info/IJCNLP-2008-Zeman.pdf (2008)
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16
Cross-Language Parser Adaptation between Related Languages
Daniel Zeman
;
Univerzita Karlova
;
Philip Resnik
In: http://www.aclweb.org/anthology/I/I08/I08-3008.pdf (2008)
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17
Bootstrapping Parsers via Syntactic Projection across Parallel Texts
Rebecca Hwa
;
Philip Resnik
;
Amy Weinberg
...
In: http://www.cs.pitt.edu/~hwa/nle04draft.pdf (2005)
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18
The Linguist’s Search Engine: an overview
Philip Resnik
;
Aaron Elkiss
In: http://acl.ldc.upenn.edu/P/P05/P05-3009.pdf (2005)
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19
The Linguist’s Search Engine: an overview
Philip Resnik
;
Aaron Elkiss
In: http://umiacs.umd.edu/~resnik/temp/lsedemo_for_class.pdf (2005)
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20
2005. A Paraphrase-Based Approach to Machine Translation Evaluation
Grazia Russo-lassner
;
Jimmy Lin
;
Philip Resnik
In: http://www.umiacs.umd.edu/~jimmylin/publications/Russo-Lassner_etal_TR2005.pdf (2005)
Abstract:
We propose a novel approach to automatic machine translation evaluation based on paraphrase identification. The quality of machine-generated output can be viewed as the extent to which the conveyed meaning matches the semantics of reference translations, independent of lexical and syntactic divergences. This idea is implemented in linear regression models that attempt to capture human judgments of adequacy and fluency, based on features that have previously been shown to be effective for paraphrase identification. We evaluated our model using the output of three different MT systems from the 2004 NIST Arabic-to-English MT evaluation. Results show that models employing paraphrase-based features correlate better with human judgments than models based purely on existing automatic MT metrics. 1 1
URL:
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.125.3002
http://www.umiacs.umd.edu/~jimmylin/publications/Russo-Lassner_etal_TR2005.pdf
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