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1
機械翻訳用超大規模辞書データ資源
In: http://pj.ninjal.ac.jp/corpus_center/lrw2016.html (2017)
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2
GlobalPhone: A Multilingual Speech and Text Database Developed at Karlsruhe University
In: http://www-2.cs.cmu.edu/~tanja/Papers/schultz_icslp02.pdf (2002)
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3
Polyphone Decision Tree Specialization for Language Adaptation
In: http://www-2.cs.cmu.edu/~tanja/Papers/schultz_icassp00-multi.pdf (2000)
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4
Experiments towards a Multi-language LVCSR Interface
In: http://www-2.cs.cmu.edu/~tanja/Papers/schultz_icmi99.ps.gz (2000)
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5
Experiments towards a multi-language LVCSR interface
In: http://www.ri.cmu.edu/pub_files/pub1/schultz_tanja_1999_2/schultz_tanja_1999_2.pdf (2000)
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6
Polyphone Decision Tree Specialization For Language Adaptation
In: http://werner.ira.uka.de/~tanja/Papers/schultz_icassp00-multi.ps.gz (2000)
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7
Development of Multilingual Acoustic Models in the GlobalPhone Project
In: http://www-2.cs.cmu.edu/~tanja/Papers/schultz_tsd98.ps.gz (1998)
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8
Language Independent and Language Adaptive Large Vocabulary Speech Recognition
In: http://www-2.cs.cmu.edu/~tanja/Papers/schultz_icslp98.ps.gz (1998)
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9
Language independent and language adaptive large vocabulary speech recognition
In: http://www.informedia.cs.cmu.edu/mli/papers/icslp98-tanja.pdf (1998)
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10
Multilingual and Crosslingual Speech Recognition
In: http://www.informedia.cs.cmu.edu/mli/papers/darpa-broadcast-ws98-tanja.pdf (1998)
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11
Adaptation of Pronunciation Dictionaries for Recognition of Unseen Languages
In: http://www-2.cs.cmu.edu/~tanja/Papers/schultz_specom98.ps.gz (1998)
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12
Language Independent and Language Adaptive Large Vocabulary Speech Recognition in
In: http://www.ri.cmu.edu/pub_files/pub1/schultz_tanja_1998_2/schultz_tanja_1998_2.pdf (1998)
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13
Multilingual and Crosslingual Speech Recognition
In: http://www.ri.cmu.edu/pub_files/pub1/schultz_tanja_1998_1/schultz_tanja_1998_1.pdf (1998)
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14
Adaptation of Pronunciation Dictionaries for Recognition of Unseen Languages
In: http://www.ri.cmu.edu/pub_files/pub1/schultz_tanja_1998_3/schultz_tanja_1998_3.pdf (1998)
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15
Multilingual and Crosslingual Speech Recognition
In: http://www.nist.gov/itl/div894/894.01/proc/darpa98/pdf/ww30.pdf (1998)
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16
Multilingual and Crosslingual Speech Recognition
In: http://www.nist.gov/speech/publications/darpa98/ps/ww30.ps (1998)
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. For our experiments we used six of these languages to train and test several recognition engines in monolingual, multilingual and crosslingual setups. Based on a global phoneme set we built a multilingual speech recognition system which can handle five different languages. The acoustic models of the five languages are combined into a monolithic system and context dependent phoneme models are created using language questions. 1. Introduction As the demand for speech recognition systems in multiple languages grows, the development of multilingual systems which combine the phonetic inventor.
Keyword: Chinese; Croatian; English; French; German; Italian; Japanese; Korean; namely Arabic; Portuguese; Russian; Spanish; Swedish; Tamil
URL: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.28.2484
http://www.nist.gov/speech/publications/darpa98/ps/ww30.ps
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17
What languages are taught as heritage languages in the United States?
In: http://www.cal.org/heritage/pdfs/briefs/what-languages-are-taught-as-heritage-languages-in-the-united-states.pdf
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18
What is a heritage language program?
In: http://www.cal.org/heritage/pdfs/briefs/What-is-a-heritage-language-program.pdf
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