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JAVELIN III: Cross-Lingual Question Answering from Japanese and Chinese Documents
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In: http://research.nii.ac.jp/ntcir/workshop/OnlineProceedings6/NTCIR/51.pdf (2007)
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JAVELIN III: Cross-Lingual Question Answering from Japanese and Chinese Documents
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In: http://cs.stanford.edu/people/mengqiu/publication/ntcir06.pdf (2007)
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JAVELIN III: Cross-Lingual Question Answering from Japanese and Chinese Documents
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In: http://www.mt-archive.info/NTCIR-2007-Mitamura.pdf (2007)
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JAVELIN III: Cross-Lingual Question Answering from Japanese and Chinese Documents
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In: http://www.cs.cmu.edu/~jko/paper/NTCIR6-CLQA_3-11-07_submitted.pdf (2007)
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Thai Word Segmentation a Lexical Semantic Approach
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In: http://www.mt-archive.info/MTS-2005-Khankasikam.pdf (2005)
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Context-independent Acoustic Models for
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In: http://www.geocities.com/lek_japan/iscit2004_group.pdf (2004)
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Chinese-Japanese Cross Language Information Retrieval: A Han Character Based Approach
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In: http://maruf.shinawatra.ac.th/papers/siglex.pdf (2000)
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Polyphone Decision Tree Specialization for Language Adaptation
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In: http://www-2.cs.cmu.edu/~tanja/Papers/schultz_icassp00-multi.pdf (2000)
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Experiments towards a Multi-language LVCSR Interface
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In: http://www-2.cs.cmu.edu/~tanja/Papers/schultz_icmi99.ps.gz (2000)
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Experiments towards a multi-language LVCSR interface
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In: http://www.ri.cmu.edu/pub_files/pub1/schultz_tanja_1999_2/schultz_tanja_1999_2.pdf (2000)
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| 11 |
Polyphone Decision Tree Specialization For Language Adaptation
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In: http://werner.ira.uka.de/~tanja/Papers/schultz_icassp00-multi.ps.gz (2000)
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Abstract:
With the distribution of speech technology products all over the world, the fast and efficient portability to new target languages becomes a practical concern. In this paper we explore the relative effectiveness of adapting multilingual LVCSR systems to a new target language with limited adaptation data. For this purpose we introduce a polyphone decision tree specialization method. Several recognition results are presented based on mono- and multilingual recognizers. These recognizers are developed in the framework of the project GlobalPhone. In this project we investigate speech recognition in the 15 languages Arabic, Mandarin and Shanghai Chinese, Croatian, English, French, German, Japanese, Korean, Portuguese, Russian, Spanish, Swedish, Tamil, and Turkish. 1. INTRODUCTION With the distribution of speech technology products all over the world, the fast and efficient portability to new target languages becomes a practical concern. One of the major time and costs factor for developin.
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Keyword:
and Turkish; Chinese; Croatian; English; French; German; Japanese; Korean; Portuguese; Russian; Spanish; Swedish; Tamil
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URL: http://werner.ira.uka.de/~tanja/Papers/schultz_icassp00-multi.ps.gz
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.38.6262
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Language Independent and Language Adaptive Large Vocabulary Speech Recognition
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In: http://www-2.cs.cmu.edu/~tanja/Papers/schultz_icslp98.ps.gz (1998)
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Language independent and language adaptive large vocabulary speech recognition
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In: http://www.informedia.cs.cmu.edu/mli/papers/icslp98-tanja.pdf (1998)
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Multilingual and Crosslingual Speech Recognition
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In: http://www.informedia.cs.cmu.edu/mli/papers/darpa-broadcast-ws98-tanja.pdf (1998)
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Adaptation of Pronunciation Dictionaries for Recognition of Unseen Languages
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In: http://www-2.cs.cmu.edu/~tanja/Papers/schultz_specom98.ps.gz (1998)
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Language Independent and Language Adaptive Large Vocabulary Speech Recognition in
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In: http://www.ri.cmu.edu/pub_files/pub1/schultz_tanja_1998_2/schultz_tanja_1998_2.pdf (1998)
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Multilingual and Crosslingual Speech Recognition
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In: http://www.ri.cmu.edu/pub_files/pub1/schultz_tanja_1998_1/schultz_tanja_1998_1.pdf (1998)
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Adaptation of Pronunciation Dictionaries for Recognition of Unseen Languages
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In: http://www.ri.cmu.edu/pub_files/pub1/schultz_tanja_1998_3/schultz_tanja_1998_3.pdf (1998)
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| 19 |
Multilingual and Crosslingual Speech Recognition
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In: http://www.nist.gov/itl/div894/894.01/proc/darpa98/pdf/ww30.pdf (1998)
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Multilingual and Crosslingual Speech Recognition
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In: http://www.nist.gov/speech/publications/darpa98/ps/ww30.ps (1998)
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