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The Pennsylvania State University CiteSeerX Archives (62)
Sanjeev Khudanpur (57)
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Woosung Kim (10)
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Hits 1 – 20 of 62
1
Quantifying the value of pronunciation lexicons for keyword search in low resource languages
Guoguo Chen
;
Sanjeev Khudanpur
;
Daniel Povey
...
In: http://www.clsp.jhu.edu/%7Eguoguo/papers/icassp2013_lexicon_value.pdf (2013)
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2
Sequential system combination for machine translation of speech
Damianos Karakos
;
Sanjeev Khudanpur
In: http://www.clsp.jhu.edu/~damianos/slt08_mt_combination.pdf (2008)
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3
Unsupervised Learning of Acoustic Subword Units
Balakrishnan Varadarajan
;
Sanjeev Khudanpur
;
Emmanuel Dupoux
In: http://www.clsp.jhu.edu/~balakris/pubs/acl08superbrief.pdf (2008)
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4
Unsupervised learning of acoustic sub-word units
Balakrishnan Varadarajan
;
Sanjeev Khudanpur
;
Emmanuel Dupoux
In: http://aclweb.org/anthology-new/P/P08/P08-2042.pdf (2008)
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5
Lexical triggers and latent semantic analysis for crosslingual language model adaptation
Woosung Kim
;
Sanjeev Khudanpur
In: http://www.clsp.jhu.edu/~woosung/pdf/talip04.pdf (2004)
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6
Contemporaneous Text as Side-Information in Statistical Language Modeling
Sanjeev Khudanpur
;
Woosung Kim
In: http://www.clsp.jhu.edu/~woosung/pdf/csl04.pdf (2004)
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7
Cross-lingual latent semantic analysis for LM
Woosung Kim
;
Sanjeev Khudanpur
In: http://www.clsp.jhu.edu/~woosung/pdf/icassp04.pdf (2004)
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8
Language Model Adaptation Using Cross-Lingual Information
Woosung Kim
;
Sanjeev Khudanpur
In: http://www.clsp.jhu.edu/~woosung/pdf/euro03.pdf (2003)
Abstract:
The success of statistical language modeling techniques is crucially dependent on the availability of a large amount training text. For a language in which such large text collections are not available, methods have recently been proposed to take advantage of a resource-rich language, together with cross-lingual information retrieval and machine translation, to sharpen language models for the resource-deficient language. In this paper, we describe investigations into such language models for an automatic speech recognition system for Mandarin Broadcast News. By exploiting a large side-corpus of contemporaneous English news articles to adapt a static Chinese language model to the news story being transcribed, we demonstrate significant improvements in recognition accuracy. The improvement from using English text is greater when less Chinese text is available to estimate the static language model. We also compare our cross-lingual adaptation to monolingual topic-dependent language model adaptation, and achieve further gains by combining the two adaptation techniques.
URL:
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.11.2954
http://www.clsp.jhu.edu/~woosung/pdf/euro03.pdf
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9
Cross-Lingual Lexical Triggers in Statistical Language Modeling
Woosung Kim Woosung
;
Sanjeev Khudanpur
In: http://acl.ldc.upenn.edu/W/W03/W03-1003.pdf (2003)
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10
Cross-Lingual Lexical Triggers in Statistical Language Modeling
Woosung Kim
;
Sanjeev Khudanpur
In: http://www.clsp.jhu.edu/~woosung/pdf/emnlp03.pdf (2003)
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11
Contemporaneous Text as Side-Information in Statistical Language Modeling
Sanjeev Khudanpur
;
Woosung Kim
In: http://www.clsp.jhu.edu/~sanjeev/Pubs/CSL2003b.pdf (2003)
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12
Making miracles: Interactive translingual search for cebuano and hindi
Daqing He
;
Douglas W. Oard
;
Jianqiang Wang
...
In: http://www.sis.pitt.edu/~daqing/docs/talip-final.pdf (2003)
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13
Maximum Entropy Language Modeling with Non-Local and Syntactic Dependencies
Jun Wu
;
Advisor Dr. Sanjeev Khudanpur
In: http://www.cs.jhu.edu/~junwu/gbo.ps (2002)
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14
Using Cross-Language Cues For Story-Specific Language Modeling
Sanjeev Khudanpur
;
Woosung Kim
In: http://www.clsp.jhu.edu/~woosung/pdf/icslp02.pdf (2002)
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15
Smoothing Issues in the Structured Language Model
Woosung Kim
;
Sanjeev Khudanpur
;
Jun Wu
In: http://cs.jhu.edu/~junwu/eurospeech01.ps (2001)
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16
Smoothing Issues in the Structured Language Mode
Woosung Kim
;
Sanjeev Khudanpur
;
Jun Wu
In: http://www.clsp.jhu.edu/~woosung/pdf/euro01.pdf (2001)
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17
Pronunciation modeling by sharing Gaussian densities across phonetic models,” Computer Speech and Language
Murat Saraclar
;
Harriet Nock
;
Sanjeev Khudanpur
In: http://busim.ee.boun.edu.tr/~speech/publications/Speech_Recognition/eurospeech99.pdf (2000)
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18
Pronunciation modeling by sharing Gaussian densities across phonetic models
Murat Saraçlar
;
Harriet Nock
;
Sanjeev Khudanpur
In: ftp://svr-ftp.eng.cam.ac.uk/pub/reports/nock_csl00.pdf (2000)
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19
Mandarin-English Information (MEI): Investigating Translingual Speech Retrieval
Helen Meng
;
Berlin Chen
;
Erika Grams
...
In: http://www.se.cuhk.edu.hk/PEOPLE/hmmeng/MEI_Final_Report2000.pdf (2000)
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20
Pronunciation modeling by sharing Gaussian densities across phonetic models
Murat Saraclar
;
Harriet Nock
;
Sanjeev Khudanpur
In: http://mi.eng.cam.ac.uk/reports/svr-ftp/auto-pdf/nock_euro99.pdf (2000)
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