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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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Abstract:
This paper describes experiments towards a multilanguage human-computer speech interface. Our interface is designed for large vocabulary continuous speech input. For this purpose a multilingual dictation database has been collected under GlobalPhone, which is a project at the Interactive Systems Labs. This project investigates LVCSR systems in 15 languages of the world, namely Arabic, Chinese, Croatian, English, French, German, Italian, Japanese, Korean, Portuguese, Russian, Spanish, Swedish, Tamil, and Turkish. Based on a global phoneme set we build different multilingual speech recognizer and present several performance results in language independent and language adaptive setups. 1 Introduction With the distribution of speech technology products all over the world, multi-language humancomputer interfaces are of increasing importance. Beyond it, new methods for the fast adaptation to new target languages with only limited training data becomes a practical concern. Monolingual phone.
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Keyword:
and Turkish; Chinese; Croatian; English; French; German; Italian; Japanese; Korean; namely Arabic; of the world; Portuguese; Russian; Spanish; Swedish; Tamil
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URL: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.6.3249
http://www-2.cs.cmu.edu/~tanja/Papers/schultz_icmi99.ps.gz
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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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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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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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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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