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機械翻訳用超大規模辞書データ資源
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In: http://pj.ninjal.ac.jp/corpus_center/lrw2016.html (2017)
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Phonology and phonetics of loanword adaptation: Russian place names in Japanese and Korean
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In: Toronto Working Papers in Linguistics; Vol 28 (2008): Proceedings of the International Conference on East Asian Linguistics ; 1718-3510 ; 1705-8619 (2008)
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GlobalPhone: A Multilingual Speech and Text Database Developed at Karlsruhe University
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In: http://www-2.cs.cmu.edu/~tanja/Papers/schultz_icslp02.pdf (2002)
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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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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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Development of Multilingual Acoustic Models in the GlobalPhone Project
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In: http://www-2.cs.cmu.edu/~tanja/Papers/schultz_tsd98.ps.gz (1998)
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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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Abstract:
This paper describes the design of a multilingual speech recognizer using an LVCSR dictation database which has been collected under the project GlobalPhone. This project at the University of Karlsruhe 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 built different multilingual speech recognition systems for five of the 15 languages. Context dependent phoneme models are created data-driven by introducing questions about language and language groups to our polyphone clustering procedure. We apply the resulting multilingual models to unseen languages and present several recognition results in language independent and language adaptive setups. 1. Introduction As the demand for speech recognition systems in multiple languages grows, the development of multilingual systems which combine the phonetic inven.
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Keyword:
Chinese; Croatian; English; French; German; Italian; Japanese; Korean; namely Arabic; Portuguese; Russian; Spanish; Swedish; Tamil
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URL: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.4.2176
http://www-2.cs.cmu.edu/~tanja/Papers/schultz_icslp98.ps.gz
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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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What languages are taught as heritage languages in the United States?
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In: http://www.cal.org/heritage/pdfs/briefs/what-languages-are-taught-as-heritage-languages-in-the-united-states.pdf
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