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Machine translation
Results: 1761

#	Item
861	Better Punctuation Prediction with Hierarchical Phrase-Based Translation Stephan Peitz, Markus Freitag, Hermann Ney Human Language Technology and Pattern Recognition Group Computer Science Department RWTH Aachen Universi Add to Reading List Source URL: www-i6.informatik.rwth-aachen.de Language: English Computational linguistics Punctuation Machine translation Speech recognition Statistical natural language processing N-gram Statistical machine translation Translation BLEU Linguistics Science Natural language processing
862	Vector Space Models for Phrase-based Machine Translation Tamer Alkhouli1 , Andreas Guta1 , and Hermann Ney1,2 1 Human Language Technology and Pattern Recognition Group RWTH Aachen University, Aachen, Germany 2 Spoken Lan Add to Reading List Source URL: www-i6.informatik.rwth-aachen.de Language: English Natural language processing Information retrieval Speech recognition Machine translation Statistical machine translation Latent semantic analysis Vector space model N-gram Phrase Science Linguistics Computational linguistics
863	EU-BRIDGE MT: Combined Machine Translation ∗ Markus Freitag, ∗ Stephan Peitz, ∗ Joern Wuebker, ∗ Hermann Ney, Huck, ‡ Rico Sennrich, ‡ Nadir Durrani, ‡ Maria Nadejde, ‡ Philip Williams, ‡ Philipp Koehn, Add to Reading List Source URL: www-i6.informatik.rwth-aachen.de Language: English Machine translation Natural language processing Speech recognition Applied linguistics Statistical natural language processing Moses Philipp Koehn BLEU Statistical machine translation Science Linguistics Computational linguistics
864	EU-BRIDGE MT: Combined Machine Translation ∗ Markus Freitag, ∗ Stephan Peitz, ∗ Joern Wuebker, ∗ Hermann Ney, Huck, ‡ Rico Sennrich, ‡ Nadir Durrani, ‡ Maria Nadejde, ‡ Philip Williams, ‡ Philipp Koehn, Add to Reading List Source URL: www-i6.informatik.rwth-aachen.de Language: English Machine translation Natural language processing Speech recognition Applied linguistics Statistical natural language processing Moses Philipp Koehn BLEU Statistical machine translation Science Linguistics Computational linguistics
865	Combined Spoken Language Translation ∗ Markus Freitag, ∗ Joern Wuebker, ∗ Stephan Peitz, ∗ Hermann Ney, ‡ Matthias Huck, ‡ Alexandra Birch, ‡ Nadir Durrani, ‡ Philipp Koehn, † Mohammed Mediani, † Isab Add to Reading List Source URL: www-i6.informatik.rwth-aachen.de Language: English Linguistics Moses BLEU Statistical machine translation Philipp Koehn Evaluation of machine translation Speech Translation Computational linguistics Translation Machine translation Science Natural language processing
866	Simple and Effective Approach for Consistent Training of Hierarchical Phrase-based Translation Models Stephan Peitz1 and David Vilar2 and Hermann Ney1 1 Lehrstuhl f¨ur Informatik 6 2 Add to Reading List Source URL: www-i6.informatik.rwth-aachen.de Language: English Machine translation Linguistics Formal languages Applied linguistics Computational linguistics Statistical machine translation Synchronous context-free grammar Parsing Language model Natural language processing Statistical natural language processing Science
867	Better Punctuation Prediction with Hierarchical Phrase-Based Translation Stephan Peitz, Markus Freitag, Hermann Ney Human Language Technology and Pattern Recognition Group Computer Science Department RWTH Aachen Universi Add to Reading List Source URL: www-i6.informatik.rwth-aachen.de Language: English Computational linguistics Punctuation Machine translation Speech recognition Statistical natural language processing N-gram Statistical machine translation Translation BLEU Linguistics Science Natural language processing
868	 www.systransoft.com SYSTRAN launches SYSTRAN Enterprise Server 8 and offers a "Linguistic Development Kit" Paris, France, 20 November[removed]A global leader and pioneer of language technology, SYSTRAN is currently t Add to Reading List Source URL: www.systransoft.com Language: English - Date: 2014-11-25 05:24:22 Science SYSTRAN Rule-based machine translation Postediting Translation memory Machine translation Translation Meaning
869	SYSTRAN Languages SYSTRAN offers 45 of the most commonly used languages in the world. More than 130 language pairs are available to meet the ever growing need for multilingual communication. Others can be developed upon Add to Reading List Source URL: www.systransoft.com Language: English - Date: 2014-11-24 06:49:49 Software Computing Comparison of machine translation applications Google Translate Machine translation SYSTRAN Linguistics
870	2010 NIST Speaker Recognition Evaluation HASR Registration Form To receive system development data as requested and participate in the Human Assisted Speaker Recognition part of the 2010 NIST Speaker Recognition Evaluati Add to Reading List Source URL: www.nist.gov Language: English - Date: 2011-03-23 15:00:02 National Institute of Standards and Technology Evaluation Standards organizations Evaluation of machine translation NIST

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