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        <namePart type="given">Po-Han</namePart>
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            <title>Proceedings of the 26th Conference on Computational Linguistics and Speech Processing (ROCLING 2014)</title>
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            <namePart type="given">Jing-Yang</namePart>
            <namePart type="family">Jou</namePart>
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        <name type="personal">
            <namePart type="given">Chia-Hui</namePart>
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        <name type="personal">
            <namePart type="given">Hsin-Min</namePart>
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            <publisher>The Association for Computational Linguistics and Chinese Language Processing (ACLCLP)</publisher>
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%0 Conference Proceedings
%T 運用概念模型化技術於中文大詞彙連續語音辨識之語言模型調適 (Leveraging Concept Modeling Techniques for Language Model Adaptation in Mandarin Large Vocabulary Continuous Speech Recognition) [In Chinese]
%A Hao, Po-Han
%A Chen, Su-Cheng
%A Chen, Berlin
%Y Jou, Jing-Yang
%Y Chang, Chia-Hui
%Y Wang, Hsin-Min
%S Proceedings of the 26th Conference on Computational Linguistics and Speech Processing (ROCLING 2014)
%D 2014
%8 October
%I The Association for Computational Linguistics and Chinese Language Processing (ACLCLP)
%C Jhongli, Taiwan
%F hao-etal-2014-yun
%U https://aclanthology.org/O14-1001
%P 1-2

Markdown (Informal)

[運用概念模型化技術於中文大詞彙連續語音辨識之語言模型調適 (Leveraging Concept Modeling Techniques for Language Model Adaptation in Mandarin Large Vocabulary Continuous Speech Recognition) [In Chinese]](https://aclanthology.org/O14-1001) (Hao et al., ROCLING 2014)

• 運用概念模型化技術於中文大詞彙連續語音辨識之語言模型調適 (Leveraging Concept Modeling Techniques for Language Model Adaptation in Mandarin Large Vocabulary Continuous Speech Recognition) [In Chinese] (Hao et al., ROCLING 2014)

ACL

• Po-Han Hao, Su-Cheng Chen, and Berlin Chen. 2014. 運用概念模型化技術於中文大詞彙連續語音辨識之語言模型調適 (Leveraging Concept Modeling Techniques for Language Model Adaptation in Mandarin Large Vocabulary Continuous Speech Recognition) [In Chinese]. In Proceedings of the 26th Conference on Computational Linguistics and Speech Processing (ROCLING 2014), pages 1–2, Jhongli, Taiwan. The Association for Computational Linguistics and Chinese Language Processing (ACLCLP).