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1
Modeling Latent Sentence Structure in Neural Machine Translation ...
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2
Deep Generative Model for Joint Alignment and Word Representation ...
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3
Examining the Relationship between Preordering and Word Order Freedom in Machine Translation
Daiber, Joachim [Verfasser]; Stanojević, Miloš [Verfasser]; Aziz, Wilker [Verfasser]. - Aachen : Universitätsbibliothek der RWTH Aachen, 2016
DNB Subject Category Language
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4
Multi30K: Multilingual English-German Image Descriptions
Elliott, Desmond [Verfasser]; Frank, Stella [Verfasser]; Sima'an, Khalil [Verfasser]. - Aachen : Universitätsbibliothek der RWTH Aachen, 2016
DNB Subject Category Language
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5
Multi30K: Multilingual English-German Image Descriptions ...
BASE
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6
Visualization, Search and Analysis of Hierarchical Translation Equivalence in Machine Translation Data
In: The Prague bulletin of mathematical linguistics. - Praha : Univ. (2014) 101, 43-54
OLC Linguistik
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7
Statistical machine translation for automobile marketing texts
In: Läubli, Samuel; Fishel, Mark; Weibel, Manuela; Volk, Martin (2013). Statistical machine translation for automobile marketing texts. In: Proceedings of the XIV Machine Translation Summit, Nice, 2 September 2013 - 6 September 2013, 265-272. (2013)
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8
Statistical Translation After Source Reordering: Oracles, Context-Aware Models, and Empirical Analysis
In: Natural language engineering. - Cambridge : Cambridge University Press 18 (2012) 4, 491-519
OLC Linguistik
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9
Efficient accurate syntactic direct translation models: one tree at a time
In: Machine translation. - Dordrecht [u.a.] : Springer Science + Business Media 26 (2012) 1-2, 121-136
BLLDB
OLC Linguistik
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10
A toolkit for visualizing the coherence of tree-based reordering with word-alignments
In: The Prague bulletin of mathematical linguistics. - Praha : Univ. (2010) 94, 97-106
BLLDB
OLC Linguistik
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11
A syntactified direct translation model with linear-time decoding
In: Hassan, Hany, Sima'an, Khalil and Way, Andy orcid:0000-0001-5736-5930 (2009) A syntactified direct translation model with linear-time decoding. In: EMNLP 2009 - Conference on Empirical Methods in Natural Language Processing, 6-7 August 2009, Singapore. (2009)
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12
Lexical syntax for statistical machine translation
Hassan, Hany. - : Dublin City University. School of Computing, 2009
In: Hassan, Hany (2009) Lexical syntax for statistical machine translation. PhD thesis, Dublin City University. (2009)
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13
Lexicalized semi-incremental dependency parsing
In: Hassan, Hany, Sima'an, Khalil and Way, Andy orcid:0000-0001-5736-5930 (2009) Lexicalized semi-incremental dependency parsing. In: RANLP-2009 - Recent Advances in Natural Language Processing, 14-16 September 2009, Borovets, Bulgaria. (2009)
BASE
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14
Part-of-speech tagging of Modern Hebrew text
In: Natural language engineering. - Cambridge : Cambridge University Press 14 (2008) 2, 223-251
BLLDB
OLC Linguistik
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15
Syntactically lexicalized phrase-based SMT
In: Institute of Electrical and Electronics Engineers. IEEE transactions on audio, speech and language processing. - New York, NY : Inst. 16 (2008) 7, 1260-1273
BLLDB
OLC Linguistik
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16
Supertagged phrase-based statistical machine translation
In: Hassan, Hany, Sima'an, Khalil and Way, Andy orcid:0000-0001-5736-5930 (2007) Supertagged phrase-based statistical machine translation. In: ACL 2007 - 45th Annual Meeting of the Association for Computational Linguistics, 25-27 June 2007, Prague, Czech Republic. (2007)
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17
Wired for Speech: How Voice Activates and Advances the Human-Computer Relationship
In: Computational linguistics. - Cambridge, Mass. : MIT Press 32 (2006) 3, 451-452
OLC Linguistik
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18
Parsing Arabic Dialects
Habash, Nizar Y.; Rambow, Owen C.; Chiang, David. - : Technical report, JHU SummerWorkshop, 2006
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19
Parsing Arabic Dialects ...
Abstract: The Arabic language is a collection of spoken dialects with important phonological, morphological, lexical, and syntactic differences, along with a standard written language, Modern Standard Arabic (MSA). Since the spoken dialects are not officially written, it is very costly to obtain adequate corpora to use for training dialect NLP tools such as parsers. In this paper, we address the problem of parsing transcribed spoken Levantine Arabic (LA). We do not assume the existence of any annotated LA corpus (except for development and testing), nor of a parallel corpus LA-MSA. Instead, we use explicit knowledge about the relation between LA and MSA. ...
Keyword: Computer science; Information technology
URL: https://dx.doi.org/10.7916/d85t3tzg
https://academiccommons.columbia.edu/doi/10.7916/D85T3TZG
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20
Robust data oriented spoken language understanding
In: New developments in parsing technology. - Dordrecht [u.a.] : Kluwer (2004), 323-338
BLLDB
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