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| "abstract": "Welcome to the 24th Conference on Computational Linguistics and Speech Processing at Yuan Ze University. Sponsored by the Association for Computational Linguistics and Chinese Language Processing (ACLCLP), ROCLING is the oldest and most comprehensive conference to focus on computational linguistics and speech processing. This year we received 45 valid submissions, each of which was reviewed by at least two experts on the basis of originality, significance, technical soundness, and relevance to the conference. In total, 15 papers were accepted for oral presentation and 19 for poster presentation. These papers cover a broad range on topics in natural language processing and speech technology and maintain the consistent quality of papers presented at ROCLING. The publications of these papers represent the joint effort of many researchers, and we are grateful to the efforts of the review committee for their work.", | |
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| "text": "Welcome to the 24th Conference on Computational Linguistics and Speech Processing at Yuan Ze University. Sponsored by the Association for Computational Linguistics and Chinese Language Processing (ACLCLP), ROCLING is the oldest and most comprehensive conference to focus on computational linguistics and speech processing. This year we received 45 valid submissions, each of which was reviewed by at least two experts on the basis of originality, significance, technical soundness, and relevance to the conference. In total, 15 papers were accepted for oral presentation and 19 for poster presentation. These papers cover a broad range on topics in natural language processing and speech technology and maintain the consistent quality of papers presented at ROCLING. The publications of these papers represent the joint effort of many researchers, and we are grateful to the efforts of the review committee for their work.", | |
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| "text": "What is a multiword expression (MWE) and how many are there? What is a MWE? What is many? Mark Liberman gave a great invited talk at ACL-89 titled \"How many words do people know?\" where he spent the entire hour questioning the question. Many of these same questions apply to multiword expressions. What is a word? What is many? What is a person? What does it mean to know? Rather than answer these questions, this paper will use these questions as Liberman did, as an excuse for surveying how such issues are addressed in a variety of fields: computer science, web search, linguistics, lexicography, educational testing, psychology, statistics, etc.", | |
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| "section": "Invited Speaker: Kenneth Church How Many Multiword Expressions do People Know? Abstract", | |
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| "text": "Kenneth Church was a researcher at Microsoft Research in Redmond, before moving to Hopkins, and before that he was the head of a data mining department in AT&T Labs-Research (formally AT&T Bell Labs). Prof. Kenneth Church received BS, Masters and PhD from MIT in computer science in 1978, 1980 and 1983, respectively . He enjoys working with very large corpora such as the Associated Press newswire (1 million words per week) and larger datasets such as telephone call detail (1-10 billion records per month). He has worked on many topics in computational linguistics including: web search, language modeling, text analysis, spelling correction, word-sense disambiguation, terminology, translation, lexicography, compression, speech (recognition and synthesis), OCR, as well as applications that go well beyond computational linguistics such as revenue assurance and virtual integration (using screen scraping and web crawling to integrate systems that traditionally don't talk together as well as they could such as billing and customer care).xii", | |
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| "start": 280, | |
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| "text": "in 1978, 1980 and 1983, respectively", | |
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| "section": "Biography", | |
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| "text": "Semantic information embedded in the speech signal manifests itself in a dynamic process rooted in the deep linguistic hierarchy as an intrinsic part of the human cognitive system. Modeling both the dynamic process and the deep structure for advancing speech technology has been an active pursuit for over more than 20 years, but it is not until recently that noticeable breakthrough has been achieved by the new methodology commonly referred to as \"deep learning\". Deep Belief Net (DBN) and the related deep neural nets are recently being used to replace the Gaussian Mixture Model component in the HMM-based speech recognition, and has produced dramatic error rate reduction in both phone recognition and large vocabulary speech recognition while keeping the HMM component intact. On the other hand, the (constrained) Dynamic Bayesian Net has been developed for many years to improve the dynamic models of speech while overcoming the IID assumption as a key weakness of the HMM, with a set of techniques and representations commonly known as hidden dynamic/trajectory models or articulatory-like models. A history of these two largely separate lines of research will be critically reviewed and analyzed in the context of modeling the deep and dynamic linguistic hierarchy for advancing speech recognition technology. Future directions will be discussed for the exciting area of deep and dynamic learning research that holds promise to build a foundation for the next-generation speech technology with human-like cognitive ability.", | |
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| "section": "Invited Speaker: Li Deng Deep Learning and A New Wave of Innovations in Speech Technology Abstract", | |
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| "text": "Li Deng received the Ph.D. from Univ. Wisconsin-Madison. He was an Assistant (1989) (1990) (1991) (1992) , Associate (1992 -1996 ), and Full Professor (1996 -1999 at the University of Waterloo, Ontario, Canada. He then joined Microsoft Research, Redmond, where he is currently a Principal Researcher and where he received Microsoft Research Technology Transfer, Goldstar, and Achievement Awards. Prior to MSR, he also worked or taught at Massachusetts Institute of Technology, ATR Interpreting Telecom. Research Lab. (Kyoto, Japan), and HKUST. He has published over 300 refereed papers in leading journals/conferences and 3 books covering broad areas of human language technology, machine learning, and audio, speech, and signal processing. He is a Fellow of the Acoustical Society of America, a Fellow of the IEEE, and a Fellow of the International Speech Communication Association. He is an inventor or co-inventor of over 50 granted patents. He served on the Board of Governors of the IEEE Signal Processing Society (2008) (2009) (2010) . More recently, he served as Editor-in-Chief for IEEE Signal Processing Magazine (2009-2011), for which he received the 2011 IEEE SPS Meritorious Service Award. He currently serves as Editor-in-Chief for IEEE Transactions on Audio, Speech and Language Processing.", | |
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| "text": "Associate (1992", | |
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| "text": "-1996", | |
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| "text": "), and Full Professor (1996", | |
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| "raw_text": "Preface ....................................................................................................................... iii Organization .............................................................................................................. iv Program Overview ................................................................................................... vii Invited Speech I: How Many Multiword Expressions do People Know? .................. xi Kenneth Church Invited Speech II: Deep Learning and A New Wave of Innovations in Speech Technology .......................................................................................................... xii Li Deng Oral Session 1: Speech Processing I Improved Histogram Equalization Methods for Robust Speech Recognition ..............1 Hsin-Ju Hsieh, Jeih-Weih Hung and Berlin Chen A Voice Conversion Method Mapping Segmented Frames with Linear Multivariate Regression .........................................................................................3 Hung-Yan Gu, Jia-Wei Chang and Zan-Wei Wang Acoustic Variability in the Speech of Children with Cerebral Palsy ..........................15", | |
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| "content": "<table><tr><td>\uf0a7</td><td colspan=\"2\">Chaochang Chiu, Yuan Ze University</td></tr><tr><td colspan=\"3\">09:00-09:50 Registration</td></tr><tr><td colspan=\"3\">\uf0a7 09:50:10:00 Opening Ceremony Shu-Ping Gong, National ChiaYi University</td><td>Prof. Jin-Fu Chang</td></tr><tr><td>\uf0a7</td><td colspan=\"3\">June-Jei Kuo, National Chung Hsing University Chair: Prof. Richard Tzong-Han</td></tr><tr><td>\uf0a7 \uf0a7</td><td colspan=\"3\">Yuen-Hsien Tseng, National Taiwan Normal University Tsai Yi-Chun Kuo, National ChiaYi University Prof. Liang-Chih Yu</td></tr><tr><td colspan=\"4\">\uf0a7 \uf0a7 10:00-11:00 Invited Talk: Hsin-Min Wang, Academia Sinica Wen-Hsing Lai, National Kaohsiung First University of Science and Speaker:</td></tr><tr><td>\uf0a7</td><td colspan=\"2\">Hsu Wang, Yuan Ze University How Many Multiword Expressions Technology do People Know?</td><td>Dr. Kenneth Church, President of ACL</td></tr><tr><td>\uf0a7 \uf0a7</td><td colspan=\"3\">Ming-Shing Yu, National Chung Hsing University Bor-Shen Lin, National Taiwan University of Science and Technology Chair: Dr. Wen-Lian Hsu</td></tr><tr><td colspan=\"3\">11:00-11:30 Program Chairs Coffee Break 11:30-12:30 Oral Session 1: Speech Processing I</td><td>Chair: Dr. Yu Tsao</td></tr><tr><td colspan=\"2\">12:30-13:15</td><td>Lunch</td></tr><tr><td colspan=\"2\">13:15-14:00</td><td>ACLCLP meeting for future directions</td></tr><tr><td colspan=\"3\">14:00-15:20 Oral Session 2: Sentiment Analysis</td><td>Chair: Dr. Lun-Wei Ku</td></tr><tr><td/><td/><td>and</td></tr><tr><td/><td/><td>Semantics</td></tr><tr><td colspan=\"4\">15:20-15:50 Coffee Break / IJCLCLP editors meeting</td></tr><tr><td colspan=\"4\">\uf0a7 16:00-17:00 Panel Discussion: Jen-Wei Huang, National Cheng-Kung University Panelists: \uf0a7 Chin-Sheng Yang, Yuan Ze University \uf0a7 Research & Application of Speech & Prof. Chung-Hsien Wu Language Technology for Orange Dr. Chih-Chung Kuo Computing Dr. Bo-Wei Chen Chair: Prof. Jhing-Fa Wang 17:00~18:00 YZU \u2500 Banquet place (Hotel Kuva Chateau) 18:00-20:00 Banquet 9:30-10:30 Invited Talk: Deep Learning and A New Wave of Speaker: Dr. Li Deng, Microsoft Research Chien Chin Chen, \uf0a7 Innovations in Speech Technology Chair: Prof. Chung-Hsien Wu Lun-Wei Ku, Academia Sinica 10:30-11:00 Coffee Break</td></tr><tr><td colspan=\"4\">Program Committee 11:00-12:00 Oral Session 3: Speech Processing II Chair: Prof. Yuan-Fu Liao</td></tr><tr><td colspan=\"3\">\uf0a7 12:00-13:00 Lunch Guo-Wei Bian, Huafan University</td></tr><tr><td colspan=\"3\">13:00-14:00 Poster Session</td></tr><tr><td colspan=\"3\">14:00-15:00 Oral Session 4: NLP Applications</td><td>Chair: Prof. Chao-Lin Liu</td></tr><tr><td colspan=\"3\">15:00-15:20 Coffee Break</td></tr><tr><td colspan=\"3\">15:20-16:00 Oral Session 5: Machine Translation</td><td>Chair: Prof. Shou-De Lin</td></tr><tr><td/><td/><td>and</td></tr><tr><td/><td/><td>Information Retrieval</td></tr><tr><td colspan=\"4\">16:00-16:20 Closing Ceremony and Best Paper Award</td></tr><tr><td/><td/><td>v</td></tr></table>", | |
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| "text": "Yuan-Fu Liao, National Taipei University of Technology \uf0a7 Chao-Lin Liu, National Chengchi University \uf0a7 Jyi-Shane Liu, National Chengchi University \uf0a7 Wen-Hsiang Lu, National Cheng Kung University \uf0a7 Feng Zhu Luo, Yuan Ze University \uf0a7 Chin-Chin Tseng, National Taiwan Normal University Tai-Shih Chi, National Chiao Tung University Chih-Yi Chiu, National ChiaYi University Donghui Feng, Google Inc.", | |
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