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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 Hits 1 – 20 of 26 1 Speech-Centric Information Processing: An Optimization-Oriented Approach Xiaodong He In: http://research.microsoft.com/pubs/179540/PIEEE_He_Deng_2013.pdf (20132) BASE Show details 2 Towards deeper understanding: Deep convex networks for semantic utterance classification,” ICASSP Gokhan Tur; Li Deng Dilek Hakkani-tür; Xiaodong He In: http://research.microsoft.com/pubs/164624/5045.pdf (2012) BASE Show details 3 Speech-Centric Information Processing: An Optimization-Oriented Approach Xiaodong He; Li Deng In: http://research.microsoft.com/pubs/179540/ProcIEEE_He_deng_finalsub.pdf (2012) BASE Show details 4 The MSR System for IWSLT 2011 Evaluation Xiaodong He; Amittai Axelrod; Li Deng... In: http://www.mt-archive.info/IWSLT-2011-He.pdf (2011) BASE Show details 5 The MSR System for IWSLT 2011 Evaluation Xiaodong He; Amittai Axelrod; Li Deng; Alex Acero; Mei-yuh Hwang; Alisa Nguyen; Andrew Wang; Xiahui Huang In: http://research.microsoft.com/pubs/163079/IWSLT2011_MSR_v04.pdf (2011) Abstract: This paper describes the Microsoft Research (MSR) system for the evaluation campaign of the 2011 international workshop on spoken language translation. The evaluation task is to translate TED talks (www.ted.com). This task presents two unique challenges: First, the underlying topic switches sharply from talk to talk. Therefore, the translation system needs to adapt to the current topic quickly and dynamically. Second, only a very small amount of relevant parallel data (transcripts of TED talks) is available. Therefore, it is necessary to perform accurate translation model estimation with limited data. In the preparation for the evaluation, we developed two new methods to attack these problems. Specifically, we developed an unsupervised topic modeling based adaption method for machine translation models. We also developed a discriminative training method to estimate parameters in the generative components of the translation models with limited data. Experimental results show that both methods improve the translation quality. Among all the submissions, ours achieves the best BLEU score in the machine translation Chinese-to-English track (MT_CE) of the IWSLT 2011 evaluation that we participated. 1. URL: http://research.microsoft.com/pubs/163079/IWSLT2011_MSR_v04.pdf http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.307.146 BASE Hide details 6 Clickthrough-based translation models for web search: from word models to phrase models Jianfeng Gao; Xiaodong He; Jian-yun Nie In: http://www.iro.umontreal.ca/~nie/Publication/gao-cikm10.pdf (2010) BASE Show details 7 Joint Optimization for Machine Translation System Combination Xiaodong He; Kristina Toutanova In: http://www.mt-archive.info/EMNLP-2009-He.pdf (2009) BASE Show details 8 Joint optimization for machine translation system combination Xiaodong He; Kristina Toutanova In: http://research.microsoft.com/%7Exiaohe/publication/EMNLP2009_draft.pdf (2009) BASE Show details 9 Joint optimization for machine translation system combination Xiaodong He; Kristina Toutanova In: http://www.aclweb.org/anthology-new/D/D09/D09-1125.pdf (2009) BASE Show details 10 A novel learning method for hidden Markov models in speech and audio processing Xiaodong He; Li Deng; Wu Chou In: http://research.microsoft.com/%7Exiaohe/publication/IEEE_MMSP06_p226.pdf (2006) BASE Show details 11 Maximum expected bleu training of phrase and lexicon translation models Xiaodong He; Li Deng In: http://www.aclweb.org/anthology/P/P12/P12-1031.pdf BASE Show details 12 Learning Lexicon Models from Search Logs for Query Expansion Jianfeng Gao; Xiaodong He; Shasha Xie... In: http://www.research.microsoft.com/%7Ejfgao/paper/2012-papers/gao-et-al.emnlp2012.camera.v3.pdf BASE Show details 13 Learning Lexicon Models from Search Logs for Query Expansion Jianfeng Gao; Xiaodong He; Shasha Xie... In: http://research.microsoft.com/pubs/166360/D12-1061.pdf BASE Show details 14 Why word error rate is not a good metric for speech recognizer training for the speech translation task Xiaodong He; Li Deng; Alex Acero In: http://research.microsoft.com/pubs/144223/0005632.pdf BASE Show details 15 RECENT ADVANCES IN DEEP LEARNING FOR SPEECH RESEARCH AT MICROSOFT Li Deng; Jinyu Li; Jui-ting Huang... In: http://research.microsoft.com/pubs/188864/ICASSP-2013-OverviewMSRDeepLearning.pdf BASE Show details 16 Phone-Discriminating Minimum Classification Error (P-MCE) Training for Phonetic Recognition Qiang Fu; Xiaodong He; Li Deng In: http://research.microsoft.com/%7Exiaohe/publication/interspeech07-PMCE.pdf BASE Show details 17 Model Complexity Optimization for Nonnative English Speakers Xiaodong He; Yunxin Zhao In: http://research.microsoft.com/%7Exiaohe/publication/EuroSph01_mel.pdf BASE Show details 18 A COMBINED ADAPTIVE AND DECISION TREE BASED SPEECH SEPARATION TECHNIQUE FOR TELEMEDICINE APPLICATIONS Yunxin Zhao; Xiao Zhang; Xiaodong He In: http://research.microsoft.com/%7Exiaohe/publication/ICSLP00-TeleMed.pdf BASE Show details 19 PATRICK NGUYEN Xiaodong He; Mei Yang; Jianfeng Gao... In: http://www.research.microsoft.com/~jfgao/paper/talip2008_syscomb_final.pdf BASE Show details 20 A NOVEL DECISION FUNCTION AND THE ASSOCIATED DECISION-FEEDBACK LEARNING FOR SPEECH TRANSLATION Yaodong Zhang; Li Deng; Xiaodong He... In: http://groups.csail.mit.edu/sls/publications/2011/Zhang1_ICASSP2011.pdf BASE Show details Page: 1 2

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