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Quantifying the value of pronunciation lexicons for keyword search in low resource languages
In: http://www.clsp.jhu.edu/%7Eguoguo/papers/icassp2013_lexicon_value.pdf (2013)
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Sequential system combination for machine translation of speech
In: http://www.clsp.jhu.edu/~damianos/slt08_mt_combination.pdf (2008)
Abstract: System combination is a technique which has been shown to yield significant gains in speech recognition and machine translation. Most combination schemes perform an alignment between different system outputs in order to produce lattices (or confusion networks), from which a composite hypothesis is chosen, possibly with the help of a large language model. The benefit of this approach is two-fold: (i) whenever many systems agree with each other on a set of words, the combination output contains these words with high confidence; and (ii) whenever the systems disagree, the language model resolves the ambiguity based on the (probably correct) agreedupon context. The case of machine translation system combination is more challenging because of the different word orders of the translations: the alignment has to incorporate computationally expensive movements of word blocks. In this paper, we show how one can combine translation outputs efficiently, extending the incremental alignment procedure of [1]. A comparison between different system combination design choices is performed on an Arabic speech translation task.
Keyword: Alignments with reordering; Confusion Networks; Index Terms — Machine Translation; System Combination
URL: http://www.clsp.jhu.edu/~damianos/slt08_mt_combination.pdf
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.219.5930
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3
Unsupervised Learning of Acoustic Subword Units
In: http://www.clsp.jhu.edu/~balakris/pubs/acl08superbrief.pdf (2008)
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4
Unsupervised learning of acoustic sub-word units
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
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
In: http://www.clsp.jhu.edu/~woosung/pdf/csl04.pdf (2004)
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7
Cross-lingual latent semantic analysis for LM
In: http://www.clsp.jhu.edu/~woosung/pdf/icassp04.pdf (2004)
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8
Language Model Adaptation Using Cross-Lingual Information
In: http://www.clsp.jhu.edu/~woosung/pdf/euro03.pdf (2003)
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9
Cross-Lingual Lexical Triggers in Statistical Language Modeling
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
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
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
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
In: http://www.cs.jhu.edu/~junwu/gbo.ps (2002)
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14
Making Indian Language Legacy Documents Accessible Via Web
In: http://www.ee.iitb.ernet.in/uma/~ncc2002/proc/NCC-2002/pdf/n074.pdf (2002)
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15
Using Cross-Language Cues For Story-Specific Language Modeling
In: http://www.clsp.jhu.edu/~woosung/pdf/icslp02.pdf (2002)
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16
Smoothing Issues in the Structured Language Model
In: http://cs.jhu.edu/~junwu/eurospeech01.ps (2001)
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17
Smoothing Issues in the Structured Language Mode
In: http://www.clsp.jhu.edu/~woosung/pdf/euro01.pdf (2001)
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18
Pronunciation modeling by sharing Gaussian densities across phonetic models,” Computer Speech and Language
In: http://busim.ee.boun.edu.tr/~speech/publications/Speech_Recognition/eurospeech99.pdf (2000)
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19
Pronunciation modeling by sharing Gaussian densities across phonetic models
In: ftp://svr-ftp.eng.cam.ac.uk/pub/reports/nock_csl00.pdf (2000)
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20
Mandarin-English Information (MEI): Investigating Translingual Speech Retrieval
In: http://www.se.cuhk.edu.hk/PEOPLE/hmmeng/MEI_Final_Report2000.pdf (2000)
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