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Bitext Alignment forStatistical Machine Translation Yonggang Deng A…
mi.eng.cam.ac.uk/~wjb31/ppubs/YDengDissertationDec05.pdf16 Feb 2008: Bitext Alignment forStatistical Machine Translation. Yonggang Deng. A dissertation submitted to the Johns Hopkins University in conformity with the. requirements for the degree of Doctor of Philosophy. Baltimore, Maryland. 2005. Copyright c 2005 by -
Bitext Alignment for Statistical Machine Translation
mi.eng.cam.ac.uk/~wjb31/ppubs/YDengDefenseDec05.pdf16 Feb 2008: Bitext Chunk Alignment Results. Unsupervised Sentence Alignment. 122 Chinese/English document pairs selected from FBIS corpussentence aligned by humans, 2,200 sentence pairsunsupervised from scratch, measured by Pre/Rec. -
thesis.dvi
mi.eng.cam.ac.uk/~wjb31/ppubs/VenkataramaniDiss05.pdf16 Feb 2008: Code Breaking for Automatic Speech Recognition. Veera Venkataramani. A dissertation submitted to the Johns Hopkins University in conformity with the. requirements for the degree of Doctor of Philosophy. Baltimore, Maryland. 2005. Copyright c 2005 by -
Minimum Bayes-Risk Techniquesin Automatic Speech Recognition and…
mi.eng.cam.ac.uk/~wjb31/ppubs/ShankarKumarDiss04.pdf16 Feb 2008: Minimum Bayes-Risk Techniquesin Automatic Speech Recognition. and Statistical Machine Translation. Shankar Kumar. A dissertation submitted to the Johns Hopkins University in conformity with the. requirements for the degree of Doctor of Philosophy. -
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mi.eng.cam.ac.uk/~mjfg/yu-asru05.pdf11 Jan 2008: Here, 200 samples were drawn from the CATprior distribution and used to rescore the N-best lists. -
Augmented Statistical Models for Classifying Sequence Data Martin…
mi.eng.cam.ac.uk/~mjfg/thesis_ml362.pdf16 Jan 2008: Augmented Statistical Models for. Classifying Sequence Data. Martin Layton. Corpus Christi College. University of Cambridge. September 2006. Dissertation submitted to the University of Cambridge. for the degree of Doctor of Philosophy. i. -
Uncertainty Decoding forNoise Robust Speech Recognition Hank Liao…
mi.eng.cam.ac.uk/~mjfg/thesis_hl251.pdf17 Sep 2008: Uncertainty Decoding forNoise Robust Speech Recognition. Hank Liao. Sidney Sussex CollegeUniversity of Cambridge. September 2007. This dissertation is submitted for the degree ofDoctor of Philosophy to the University of Cambridge. Declaration. This -
CAMBRIDGE UNIVERSITY ENGINEERING DEPARTMENT DISCRIMINATIVE…
mi.eng.cam.ac.uk/~mjfg/mjfg_tech605.pdf6 Nov 2008: This will be referred to as a γ-optimised (γ-opt) system. 20 15 10 5 0 5 10 15 200. -
sig-004.dvi
mi.eng.cam.ac.uk/~mjfg/mjfg_NOW.pdf19 Mar 2008: 200. 2.1 Feature Extraction 201. FeatureExtraction. DecoderY w. SpeechFeatureVectors Words. "Stop that.". ... the model [17, 200] and which is particularly useful for describ-ing a variety of extensions to the basic HMM structure. -
Model-Based Approaches to Robust SpeechRecognition Mark Gales with…
mi.eng.cam.ac.uk/~mjfg/mjfg_edin08.pdf6 Oct 2008: 20 15 10 5 0 5 10 15 200. 2.
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