| { |
| "paper_id": "O11-2000", |
| "header": { |
| "generated_with": "S2ORC 1.0.0", |
| "date_generated": "2023-01-19T08:05:36.028586Z" |
| }, |
| "title": "Conference Chair", |
| "authors": [ |
| { |
| "first": "Yuan-Fu", |
| "middle": [], |
| "last": "Liao", |
| "suffix": "", |
| "affiliation": {}, |
| "email": "" |
| }, |
| { |
| "first": "Wei-Ho", |
| "middle": [], |
| "last": "Tsai", |
| "suffix": "", |
| "affiliation": {}, |
| "email": "" |
| }, |
| { |
| "first": "Liang-Chih", |
| "middle": [], |
| "last": "Yu", |
| "suffix": "", |
| "affiliation": {}, |
| "email": "" |
| }, |
| { |
| "first": "Guo-Wei", |
| "middle": [], |
| "last": "Bian", |
| "suffix": "", |
| "affiliation": {}, |
| "email": "" |
| }, |
| { |
| "first": "Chia-Hui", |
| "middle": [], |
| "last": "Chang", |
| "suffix": "", |
| "affiliation": {}, |
| "email": "" |
| }, |
| { |
| "first": "Jason", |
| "middle": [ |
| "S" |
| ], |
| "last": "Chang", |
| "suffix": "", |
| "affiliation": {}, |
| "email": "" |
| }, |
| { |
| "first": "Jing-Shin", |
| "middle": [], |
| "last": "Chang", |
| "suffix": "", |
| "affiliation": {}, |
| "email": "" |
| }, |
| { |
| "first": "Yi-Hsiang", |
| "middle": [], |
| "last": "Chao", |
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| "email": "" |
| }, |
| { |
| "first": "Berlin", |
| "middle": [], |
| "last": "Chen", |
| "suffix": "", |
| "affiliation": {}, |
| "email": "" |
| }, |
| { |
| "first": "Chia-Ping", |
| "middle": [], |
| "last": "Chen", |
| "suffix": "", |
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| "email": "" |
| }, |
| { |
| "first": "Chien-Chin", |
| "middle": [], |
| "last": "Chen", |
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| { |
| "first": "Hsin-Hsi", |
| "middle": [], |
| "last": "Chen", |
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| { |
| "first": "Keh-Jiann", |
| "middle": [], |
| "last": "Chen", |
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| { |
| "first": "Academia", |
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| "last": "Sinica", |
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| }, |
| { |
| "first": "Kuang-Hua", |
| "middle": [], |
| "last": "Chen", |
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| "email": "" |
| }, |
| { |
| "first": "Sin-Horng", |
| "middle": [], |
| "last": "Chen", |
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| "email": "" |
| }, |
| { |
| "first": "Tai-Shih", |
| "middle": [], |
| "last": "Chi", |
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| { |
| "first": "Jen-Tzung", |
| "middle": [], |
| "last": "Chien", |
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| "affiliation": {}, |
| "email": "" |
| }, |
| { |
| "first": "Chih-Yi", |
| "middle": [], |
| "last": "Chiu", |
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| "email": "" |
| }, |
| { |
| "first": "Hung-Yan", |
| "middle": [], |
| "last": "Gu", |
| "suffix": "", |
| "affiliation": {}, |
| "email": "" |
| }, |
| { |
| "first": "Wei-Tyng", |
| "middle": [], |
| "last": "Hong", |
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| "email": "" |
| }, |
| { |
| "first": "Wen-Lian", |
| "middle": [], |
| "last": "Hsu", |
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| "email": "" |
| }, |
| { |
| "first": "Jyh-Shing", |
| "middle": [], |
| "last": "Jang", |
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| "email": "" |
| }, |
| { |
| "first": "Chih-Chung", |
| "middle": [], |
| "last": "Kuo", |
| "suffix": "", |
| "affiliation": {}, |
| "email": "" |
| }, |
| { |
| "first": "June-Jei", |
| "middle": [], |
| "last": "Kuo", |
| "suffix": "", |
| "affiliation": {}, |
| "email": "" |
| }, |
| { |
| "first": "Wen-Hising", |
| "middle": [], |
| "last": "Lai", |
| "suffix": "", |
| "affiliation": {}, |
| "email": "" |
| }, |
| { |
| "first": "Chao-Lin", |
| "middle": [], |
| "last": "Liu", |
| "suffix": "", |
| "affiliation": {}, |
| "email": "" |
| }, |
| { |
| "first": "Jyi-Shane", |
| "middle": [], |
| "last": "Liu", |
| "suffix": "", |
| "affiliation": {}, |
| "email": "" |
| }, |
| { |
| "first": "Chuan-Jie", |
| "middle": [], |
| "last": "Lin", |
| "suffix": "", |
| "affiliation": {}, |
| "email": "" |
| }, |
| { |
| "first": "Shou-De", |
| "middle": [], |
| "last": "Lin", |
| "suffix": "", |
| "affiliation": {}, |
| "email": "" |
| }, |
| { |
| "first": "Tzong-Han", |
| "middle": [], |
| "last": "Tsai", |
| "suffix": "", |
| "affiliation": {}, |
| "email": "" |
| }, |
| { |
| "first": "Yuen-Hsien", |
| "middle": [], |
| "last": "Tseng", |
| "suffix": "", |
| "affiliation": {}, |
| "email": "" |
| }, |
| { |
| "first": "Hsiao-Chuan", |
| "middle": [], |
| "last": "Wang", |
| "suffix": "", |
| "affiliation": {}, |
| "email": "" |
| }, |
| { |
| "first": "Hsin-Min", |
| "middle": [], |
| "last": "Wang", |
| "suffix": "", |
| "affiliation": {}, |
| "email": "" |
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| { |
| "first": "\u738b\u65b0\u6c11", |
| "middle": [], |
| "last": "Academia", |
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| "email": "" |
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| { |
| "first": "Sinica", |
| "middle": [], |
| "last": "Yih", |
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| "email": "" |
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| { |
| "first": "Ru", |
| "middle": [], |
| "last": "Wang", |
| "suffix": "", |
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| "email": "" |
| }, |
| { |
| "first": "Chin-Sheng", |
| "middle": [], |
| "last": "Yang", |
| "suffix": "", |
| "affiliation": {}, |
| "email": "" |
| }, |
| { |
| "first": "Cheng-Zen", |
| "middle": [], |
| "last": "Yang", |
| "suffix": "", |
| "affiliation": {}, |
| "email": "" |
| }, |
| { |
| "first": "Ming-Shing", |
| "middle": [], |
| "last": "Yu", |
| "suffix": "", |
| "affiliation": {}, |
| "email": "" |
| }, |
| { |
| "first": "Chung-Hsien", |
| "middle": [], |
| "last": "Wu", |
| "suffix": "", |
| "affiliation": {}, |
| "email": "" |
| }, |
| { |
| "first": "Gin-Der", |
| "middle": [], |
| "last": "Wu", |
| "suffix": "", |
| "affiliation": {}, |
| "email": "" |
| }, |
| { |
| "first": "Jui-Feng", |
| "middle": [], |
| "last": "Yeh", |
| "suffix": "", |
| "affiliation": {}, |
| "email": "" |
| }, |
| { |
| "first": "Shih-Hung", |
| "middle": [], |
| "last": "Wu", |
| "suffix": "", |
| "affiliation": {}, |
| "email": "" |
| } |
| ], |
| "year": "", |
| "venue": null, |
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| "paper_id": "O11-2000", |
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| "abstract": [], |
| "body_text": [ |
| { |
| "text": "A morphological family in Chinese is the set of com pound words e mbedding a common morpheme. Self-organizing m aps (SOM) of Chinese m orphological families are built. Computation of the unif ied-distance matrices for the SOMs allows us to perform a semantic clustering of the m embers of the m orphological families. Such a s emantic clustering shed light on the interplay between morphology and semantics in Chinese. Then, we studied how the word lists used in a lexical decision task (LDT) [1] are mapped onto the clusters of the SOMs. We showed that such a m apping is helpful to predict whether in a LDT r epetitive processing of m embers of a morphological family would elicit a sa tiationhabituation -of both morphol ogical and semantic units of the shared morphem e. This study investigates whether prior know ledge affects the processing of vague discourse inMandarin C hinese. Vague disc ourse refers to the texts using vague references and neutraldescriptors (e.g. \u6771\u897f d\u014dngx\u012b \"thing\", \u4e8b\u60c5 sh\u00ecq\u00edng \"item\", and \u7269\u4ef6 w\u00f9ji\u00e0n \"object\"), rather than nam ing the referred to item s at the basic level. Three conditions of discourse were tested: one was vague texts preceded by congruent titles, another was texts preceded by incongruent titles and the third was texts preceded without titl es. An on-line self-paced reading task was conducted. Participants were instr ucted to re ad the vag ue texts an d rate the level of comprehensibility. The r ating scores for the level of comprehensibility and the reading time of the wh ole texts were m easured. The experim ental results show that people read texts preceded by congruent titles significantly faster than those preceded by incongruent and no titles. However, the reading tim e of texts preceded by incongruent titles was also si gnificantly shorter than those p receded without titles. W e conclude that when people sim ply read vague idea at a discourse level, the appropriate infor mation is useful for text integration.", |
| "cite_spans": [], |
| "ref_spans": [], |
| "eq_spans": [], |
| "section": "Interplay of Morphology and Semantics in Chinese Bruno Galmar", |
| "sec_num": null |
| }, |
| { |
| "text": "Inappropriate information, however, can be paid little attention during the text processing and do not increase too much processing load.", |
| "cite_spans": [], |
| "ref_spans": [], |
| "eq_spans": [], |
| "section": "Interplay of Morphology and Semantics in Chinese Bruno Galmar", |
| "sec_num": null |
| }, |
| { |
| "text": "The purpose of this study is to develop a m ultimedia program and exam ine its effects on learning Chin ese aspect markers le, zai, and zh e. The materials in the program were based on li nguistic studies of le, zai , and zhe (Li & Thom pson, 2005; Lin, 2002; Liu, 1997; Pan, 1996; Smith, 1997; Wu & Kuo, 2003; Wu, 2003 Wu, , 2005 Wu, , 2007 Xiao & McEnery, 2004; Yeh, 1993) . We predicted that thi s ", |
| "cite_spans": [ |
| { |
| "start": 226, |
| "end": 248, |
| "text": "(Li & Thom pson, 2005;", |
| "ref_id": null |
| }, |
| { |
| "start": 249, |
| "end": 259, |
| "text": "Lin, 2002;", |
| "ref_id": null |
| }, |
| { |
| "start": 260, |
| "end": 270, |
| "text": "Liu, 1997;", |
| "ref_id": null |
| }, |
| { |
| "start": 271, |
| "end": 281, |
| "text": "Pan, 1996;", |
| "ref_id": null |
| }, |
| { |
| "start": 282, |
| "end": 294, |
| "text": "Smith, 1997;", |
| "ref_id": null |
| }, |
| { |
| "start": 295, |
| "end": 310, |
| "text": "Wu & Kuo, 2003;", |
| "ref_id": null |
| }, |
| { |
| "start": 311, |
| "end": 319, |
| "text": "Wu, 2003", |
| "ref_id": null |
| }, |
| { |
| "start": 320, |
| "end": 330, |
| "text": "Wu, , 2005", |
| "ref_id": null |
| }, |
| { |
| "start": 331, |
| "end": 341, |
| "text": "Wu, , 2007", |
| "ref_id": null |
| }, |
| { |
| "start": 342, |
| "end": 363, |
| "text": "Xiao & McEnery, 2004;", |
| "ref_id": null |
| }, |
| { |
| "start": 364, |
| "end": 374, |
| "text": "Yeh, 1993)", |
| "ref_id": null |
| } |
| ], |
| "ref_spans": [], |
| "eq_spans": [], |
| "section": "On the Learning of Chinese Aspect Markers through Multimedia Program Tzu-Hui Hsieh, Yi-Chun Kuo, Shu-Chun Chung and Jiun-Shiung Wu", |
| "sec_num": "7." |
| }, |
| { |
| "text": "The compositional operations of Mandarin Chinese predicates are very complex.", |
| "cite_spans": [], |
| "ref_spans": [], |
| "eq_spans": [], |
| "section": "Lexicon Approach Li-Chuan Ku", |
| "sec_num": null |
| }, |
| { |
| "text": "In a highly analytic language such as Mandarin Chinese, a verb can often choose from a wide range of nouns/nom inal compounds as its argum ents. This paper hopes to capture a different picture of such an operation through investigating authentic corpus data of Chinese verb \"\u6253\" (da3, to hit). In this study, we'd like to", |
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| "ref_spans": [], |
| "eq_spans": [], |
| "section": "Lexicon Approach Li-Chuan Ku", |
| "sec_num": null |
| }, |
| { |
| "text": "show that the qualia struct ure and type system proposed by Pustejovsky's (1995) the Generative Lexicon can affect the interpretation of verb-argument composition of \"da3\", and to ex amine whether the compositional operations of \"d a3\" varies under different senses with its ow n type selection preference. Our results show that, given that W ang and Huang (2010)'s similar investigation on the perceptual verb \"k\u00e0n\" (look at) in dicates diverse mechanisms, the compositional operation patterns of \"da3\" are m uch like those pr oposed by Pustejovsky's (2008) . In view of this, we also provide som e limitation and future direction of this study in the last section. Thus, intrinsic universals ar e proposed to explain the in terlanguage data in this study, i.e. the position that a con sonant cluster occurs in a syllable and its articulatory components all contributed to the intrinsic universals.", |
| "cite_spans": [ |
| { |
| "start": 60, |
| "end": 80, |
| "text": "Pustejovsky's (1995)", |
| "ref_id": null |
| }, |
| { |
| "start": 538, |
| "end": 558, |
| "text": "Pustejovsky's (2008)", |
| "ref_id": null |
| } |
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| "section": "Lexicon Approach Li-Chuan Ku", |
| "sec_num": null |
| }, |
| { |
| "text": "Yi-Lun Wu, Chaio-Wen Hsieh, Wei-Hsuan Lin, Chun-Yi Liu and Liang-Chih Yu \u5728\u591a\u8a9e\u74b0\u5883\u4e0b\uff0c\u4e00\u6bb5\u8a9e\uf906\u53ef\u80fd\u767c\u751f\u7531\u4e00\u7a2e\u8a9e\u8a00\u8f49\u63db\u5230\u53e6\u4e00\u7a2e\u8a9e\u8a00\u7684\u73fe\u8c61\uff0c\u4e5f \u5c31 \u662f \uf96f \uff0c \u8a9e \uf906 \u7531 \uf978 \u7a2e \u6216 \uf978 \u7a2e \u4ee5 \u4e0a \u7684 \u8a9e \u8a00 \u6240 \u7d44 \u6210 \uff0c \u6b64 \u5373 \u70ba \u8a9e \u78bc \u8f49 \u63db (code-switching)\u73fe\u8c61\u3002\u4ee5\u6211\u570b\u8a9e\u8a00\u4f7f\u7528\u7684\u60c5\u6cc1\uf92d\uf96f\uff0c\u570b\u8a9e\u593e\u96dc\u53f0\u5ba2\u82f1\u77ed\u8a9e\u7684 \u73fe\u8c61\u5728\u65e5\u5e38\u751f\u6d3b\u4e2d\u5df2\u76f8\u7576\u666e\u904d\uff0c\u9019\u4e9b\u8a9e\u8a00\u6df7\u7528\u73fe\u8c61\u4e5f\u9020\u6210\uf9ba\u8a9e\u8a00\u8655\uf9e4\u4e0a\u7684\u91cd \u5927\u6311\u6230\u3002\u6709\u9451\u65bc\u6b64\uff0c\u672c\uf941\u6587\u6536\u96c6\u4e2d\u82f1\u3001\u570b\u53f0\u53ca\u570b\u5ba2\u593e\u96dc\u4e4b\u6587\u5b57\u8a9e\uf9be\uff0c\u4e26\u5206\u6790 \u4ee5\u570b\u8a9e\u70ba\u4e3b\u8981\u8a9e\u8a00\u4e4b\u4e2d\u82f1\u3001\u570b\u53f0\u53ca\u570b\u5ba2\u593e\u96dc\u73fe\u8c61\uff0c\u63a5\u8457\u63d0\u51fa\u4ee5\u4ea4\u4e92\u8cc7\u8a0a (mutual information)\u8207\u71b5(entropy)\u70ba\u57fa\u790e\u4e4b\u672a\u77e5\u8a5e\u64f7\u53d6\u6f14\u7b97\u6cd5\uff0c\u81ea\u52d5\u5f9e\u591a\u8a9e\u593e \u96dc\u8a9e\uf9be\u4e2d\u627e\u51fa\u672a\u77e5\u8a5e\u3002\u5be6\u9a57\u7d50\u679c\u986f\u793a\u672c\uf941\u6587\u6240\u63d0\u51fa\u7684\u65b9\u6cd5\u53ef\u85c9\u7531\u904e\uf984\u7121\u95dc\u7684 \u65b0\u8a5e\u63d0\u5347\u672a\u77e5\u8a5e\u64f7\u53d6\u4e4b\ufa1d\u78ba\ufa01\u3002", |
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| "section": "\u591a\u8a9e\u8a9e\u78bc\u8f49\u63db\u4e4b\u672a\u77e5\u8a5e\u64f7\u53d6", |
| "sec_num": "13." |
| } |
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| "text": "multimedia program with anim ation presenting the target sente nces can significantly improve Chinese as a Forei gn Language (for short, CFL) learners' acquisition of these aspect m arkers. The participants were totally 35 CFL beginners. Nineteen of them in the e xperimental group received the interactive multimedia program and six teen of them in the con trol group took th e computer-based grammar program. The teaching experiment is a section of twenty minutes per day for 3 days. W e conduct a pretest, im mediate posttest, and one-month delayed posttest, and the perfor mances between the two groups were compared using the independent T-test. Fi ndings indicated that the experim ental group showed a signif icant advantage over the control group both in the immediate posttest and the delayed posttest. Huang,Ming-Chin Yen, Guan-Huei Wu, Yao-Yi Wang and Jui-Feng Yeh Kao and Li-Mei Chen The present study aim s to investigate genre influence on the use and m isuse of conjunctive adverbials (hereafter CAs) by compiling a learner corpus annotated with discoursal information on CAs. To do so, an online interface is constructed to collect and annotate data, and an annotat ing system for identifying the use and misuse of CAs is developed. The results show that genre difference has no im pact on the use and m isuse of CAs, but that there does exist a norm distribution of textual relations perform ed by CAs, indicating a pref erence preset in hum an cognition. Statistic analysis also show s that the proposed m isuse patterns do significantly differ from one another in terms of appropriateness and necessity, ratifying the need to differentiate these misuse patterns. The results in the present study have three possible applications. Fi rst, the annotate data can serve as training data for developing technology that automatically diagnoses learner writing on the discoursal level. S econd, the founding that textual relations performed by CAs form a distribution norm can be used as a princip le to evaluate discoursal organization in learner writing. Lastly, the misuse framework not only identifies the location of misuse of CAs but also indicates direction for correction.", |
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| "text": "Chin-Chin TsengThis study is to exam ine if typological universals built upon prim ary languages are applicable to interlanguage data in SLA. Imp licational universal is considered the classic exam ple of a typological universal byCroft (2003). Thus, th e Interlanguage Structural Conform ity Hypothesis, which consists of two implicational universals proposed by Eckm an (1991), were tested against data from an interlangu age. The interlan guage data reconfirms that syllable struc ture plays a key role in the Fricative-Stop Prinicple. However, the Fricative-Stop Principle is sensitive to the pos ition which clusters occur in a sy llable. This typological universal is only applicable to final consonant clusters only. The test results do not conform with the Resolv ability Principle. The Resolvability Principle claims that if a language ha s a consonantal sequence of length m in either initial or final positi on, it also has at least one continuous subsequence of length m-1 in this sam e position. Taiwanese3 speakers\" interlanguage data show that they can produce a consonantal seque nce of 3 [spr-], but fail to produce a consonantal sequence of 2 [bl-], which violates the proposed typological universal.", |
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| "num": null, |
| "content": "<table><tr><td colspan=\"2\">\u9ad8\u65af\u6df7\u5408\u9078\u53d6\u4e4b\u6f14\u7b97\u6cd5\u3002\u95dc\u65bc\u5206\u6bb5\u5f0fGMM\u89c0\uf9a3\u7684\u8a55\u4f30\uff0c\u5728\u6b64\u6211\u5011\u5efa\u9020\uf9ba\u4e09\u500b</td></tr><tr><td colspan=\"2\">\u63a1\u53d6\uf967\u540c\u529f\u80fd\u7d44\u5408\u4e4b\u8a9e\u97f3\u8f49\u63db\u7cfb\u7d71\uff0c\u7136\u5f8c\u4f7f\u7528\u4e09\u500b\u7cfb\u7d71\u6240\u8f49\u63db\u51fa\u7684\u8a9e\u97f3\u53bb\u4f5c</td></tr><tr><td colspan=\"2\">1. Probabilistic Modulation Spectrum Factorization for Robust Speech Recognition \u807d\u6e2c\u5be6\u9a57\uff0c\u5be6\u9a57\u7684\u7d50\u679c\u986f\u793a\uff0c\u5206\u6bb5\u5f0fGMM \u4e4b\u89c0\uf9a3\u78ba\u5be6\u53ef\u7528\u4ee5\u6539\u9032\u97f3\u8272\u76f8\u4f3c</td></tr><tr><td colspan=\"2\">09:10-10:00 Registration 10:00:10:10 Opening Ceremony Wen-Yi Chu, Yu-Chen Kao, Berlin Chen and Jeih-Weih Hung Prof. Leehter Yao 2. \u61c9\u7528\u8a9e\u97f3\u8fa8\uf9fc\u6280\u8853\u65bc\u9ce5\u9cf4\u8072\u8fa8\uf9fc Recognition \ufa01(timbre similarity)\u3001\u53ca\u8a9e\u97f3\u54c1\u8cea(voice quality)\uf978\u65b9\u9762\u7684\u6548\u80fd\u3002</td></tr><tr><td colspan=\"2\">presentation\uf941\u6587\uff0c\u5305\u542b\uf9ba\u8a9e\u97f3\u8fa8\u8a8d\u8207\u5408\u6210\u3001\u6a5f\u5668\u7ffb\u8b6f\u3001\u8a9e\u97f3\u5b78\u8207\u97f3\u97fb\u5b78\u4e4b\u5206\u6790\u53ca Chair: Prof. Yuan-Fu Liao Wei-En Liao, Hsin-Chieh Lee and Wei-Ho Tsai Wen-Yi Chu, Yu-Chen Kao, Berlin Chen and Jeih-Weih Hung 4. \u61c9\u7528\u8a5e\u5f59\u3001\u8a9e\u6cd5\u8207\u8a9e\uf9be\u898f\u5247\u65bc\u4e2d\u6587\u624b\u5beb\uf906\u8fa8\uf9fc\u4e4b\u6821\u6b63\u6a21\u7d44 \u61c9\u7528\u3001\u81ea\u7136\u8a9e\u8a00\u8655\uf9e4\u4e4b\u61c9\u7528\u3001\u5de5\u5177\u8207\u8cc7\u6e90\u3001\u53ca\u8a9e\u97f3\uf9fc\u5225\u548c\uf9e4\u89e3\u7b49\uf9b4\u57df\uff0c\u6b64\u5be9\u67e5\u7d50 10:10-11:10 Invited Talk: Speaker: Prof. Haizhou Li, 3. \u4f7f\u7528\u5206\u6bb5\u5f0f GMM \u53ca\u81ea\u52d5 GMM \u6311\u9078\u4e4b\u8a9e\u97f3\u8f49\u63db\u65b9\u6cd5 \u5728\u81ea\u52d5\u8a9e\u97f3\u8fa8\uf9fc\u6280\u8853\u7684\u767c\u5c55\u4e0a\uff0c\u8a9e\u97f3\u5f37\u5065\u6027\u4e00\u76f4\ufa26\u662f\u4e00\u9580\u91cd\u8981\u7684\u7814\u7a76\u8b70\u984c\u3002 Tao-Hsing Chang, Chia-Bin Chou, Shou-Yen Su and Chien-Liang Liu \u679c\u7dad\u6301\uf9baROCLING\uf98c\u5c46\u4ee5\uf92d\u4e00\u8cab\u7684\uf941\u6587\u54c1\u8cea\uff0c\u4e26\u517c\u9867\u591a\u5c64\u9762\u7814\u7a76\u4eba\u54e1\u7684\uf96b\u8207\uff0c \u5728\u6b64\u975e\u5e38\u611f\u8b1d\uf941\u6587\u5be9\u67e5\u59d4\u54e1\u7684\u628a\u95dc\u3002 \u4eca\uf98e\u7684\u8b70\u7a0b\u5b89\u6392\uff0c\u9664\uf9ba\u6700\u65b0\u7684\u5b78\u8853\uf941\u6587\u7684\u767c\u8868\u5916\uff0c\u4e5f\u9080\u8acb\u4e09\u4f4d\u8a9e\u97f3\u53ca\u81ea\u7136\u8a9e\u8a00\u8655 \uf9e4\uf9b4\u57df\u5c08\u5bb6\u7d66\u4e88\u5c08\u984c\u6f14\u8b1b\uff0c\u5305\u62ec\u65b0\u52a0\u5761Institute for Infoc omm Research\uf9e1\u6d77\u6d32\u535a \u58eb\u3001Google, Taiwan \u7e3d\u7d93\uf9e4\u7c21\uf9f7\u5cf0\u535a\u58eb\u8207\u4e2d\u570b\u6771\uf963\u5927\u5b78\u8a08\u7b97\u6a5f\u8edf\u4ef6\u7814\u7a76\u6240\u6731\ufa1c\u6ce2 \u535a\u58eb\u3002\u6b64\u5916\uff0c\u738b\u99ff\u767c\u6559\u6388\u4e5f\u71b1\u5fc3\u5e6b\u5fd9\u7d44\u7e54\u4e00\u500bPanel Discussion Session \uff0c\u95dc\u5fc3\u8a9e \u97f3\u53ca\u81ea\u7136\u8a9e\u8a00\u79d1\u6280\u7684\u672a\uf92d\u61c9\u7528\u8207\u767c\u5c55\u3002\u975e\u5e38\u611f\u8b1d\u4ed6\u5011\u7684\u5e6b\u5fd9\u3002 \u6211\u5011\u540c\u6642\u8981\u611f\u8b1d\u570b\u79d1\u6703\u5de5\u7a0b\u79d1\u6280\u63a8\u5c55\u4e2d\u5fc3\u3001\u4e2d\u592e\u7814\u7a76\u9662\u8cc7\u8a0a\u79d1\u5b78\u7814\u7a76\u6240\u3001\u4e2d\u83ef\u96fb real life \u90ed\u5fd7\u5fe0\u535a\u58eb\uff0c\uf972\u5bb6\uf9f3\u535a\u58eb 9. \u7d50\u5408\u8a9e\u8a00\u6a21\u578b\u8207\u7db2\uf937\u77e5\uf9fc\u6e90\u65bc\uf99c\u5370\u524d\u6aa2\u67e5 \u91ce\u5916\u8cde\u9ce5\u5df2\u6210\u70ba\u5927\u773e\u4f11\u9592\u7684\u65b0\u8da8\u52e2\uff0c\u4f46\u4e00\u822c\u6c11\u773e\u5e38\u53ea\u80fd\u770b\ufa0a\u9ce5\u6216\u807d\ufa0a\u9ce5\u9cf4 \u9805\u4e8b\u52d9\u4e0a\u7684\u5354\u52a9\u3002 Frontier of speech science and technology for \u5433\u5b97\u61b2\u6559\u6388\uff0c\u7c21\uf9f7\u5cf0\u535a\u58eb Wan-Chi Huang, Shih-Hung Wu, Liang-Pu Chen and Tsun Ku Wei-En Liao, Wei-Cheng Lin and Wei-Ho Tsai \u865f\u8655\uf9e4\u5be6\u9a57\u5ba4\uff0c\u8207\u5143\u667a\u5927\u5b78\u8cc7\u7ba1\u7cfb\u81ea\u7136\u8a9e\u8a00\u8655\uf9e4\u8207\u6587\u5b57\u63a2\u52d8\u5be6\u9a57\u5ba4\u7684\u540c\u5b78\u5011\u5728\u5404 16:00-17:00 Panel Discussion: Panelists: 8. \u4e2d\u6587\u6587\u5b57\u860a\u6db5\u7cfb\u7d71\u4e4b\u7279\u5fb5\u5206\u6790 2. \u61c9\u7528\u8a9e\u97f3\u8fa8\uf9fc\u6280\u8853\u65bc\u9ce5\u9cf4\u8072\u8fa8\uf9fc \u5354\u8fa6\u8207\u8d0a\u52a9\u3002\u53e6\u5916\uff0c\u4e5f\u8b1d\u8b1d\u53f0\uf963\u79d1\u6280\u5927\u5b78\u96fb\u5b50\u7cfb\u8a9e\u97f3\u8a0a\u865f\u8655\uf9e4\u5be6\u9a57\u5ba4\uff0c\u591a\u5a92\u9ad4\u8a0a 15:30-16:00 Coffee Break/IJCLCLP editors meeting(\u8cc7\u5de5\u7cfb\u7cfb\u8fa6\u516c\u5ba4\u6703\u8b70\u5ba4\u79d1\u6280\u5927\uf94c 3 \uf94c) Tzu-Hui Hsieh, Yi-Chun Kuo, Shu-Chun Chung and Jiun-Shiung Wu \u4fe1\u7814\u7a76\u6240\u3001\u8cc7\u8a0a\u5de5\u696d\u7b56\u9032\u6703\u3001\u5de5\u7814\u9662\u8cc7\u901a\u6240\u3001\u7121\u6575\u79d1\u6280\u3001\u8cfd\u5fae\u79d1\u6280\u8207\u81f4\u9060\u79d1\u6280\u7684 Machine Transliteration -Translating the Untranslatables Institute for Infocomm Research, Singapore Chair: Prof. Hsiao-Chun Wang 11:10-11:40 Coffee Break 11:40-12:40 Oral Session 1: Speech Recognition and Synthesis Chair: Prof. Chia-Ping Chen 12:40-13:30 Lunch 13:30-14:30 ACLCLP meeting for future directions/Poster Session 1:NSC Project reports 14:30-15:30 Invited Talk: Opportunities and Technology Challenges for Search Engines in the mobile internet Speaker: Dr Lee-Feng Chien, General Manager, Google Chair: Prof. Hsin-Hsi Chen Hung-Yan Gu and Sung-Fung Tsai \u5728\u773e\u591a\u7684\u5f37\u5065\u6027\u6280\u8853\u4e2d\uff0c\u91dd\u5c0d\u8a9e\u97f3\u7279\u5fb5\uf96b\uf969\u9032\ufa08\u5f37\u5316\u8207\u88dc\u511f\u70ba\u5176\u4e2d\u4e4b\u4e00\u5927\u4e3b \uf9ea\u7dda\u624b\u5beb\u4e2d\u6587\u6587\u5b57\u8fa8\uf9fc\u6709\u4f7f\u7528\u8005\u66f8\u5beb\u5b57\u8de1\u7684\u8b8a\uf962\u548c\u6587\u5b57\u66f8\u5beb\u5b57\u9ad4\uf967\u660e\u986f\u7b49\u554f 4. \u61c9\u7528\u8a5e\u5f59\u3001\u8a9e\u6cd5\u8207\u8a9e\uf9be\u898f\u5247\u65bc\u4e2d\u6587\u624b\u5beb\uf906\u8fa8\uf9fc\u4e4b\u6821\u6b63\u6a21\u7d44 \u8981\u6d3e\u5225\u3002\u5176\u4e2d\uff0c\u8fd1\uf98e\uf92d\u5df2\u6709\u70ba\uf969\uf967\u5c11\u7684\u65b0\u65b9\u6cd5\uff0c\u85c9\u7531\uf901\u65b0\u8a9e\u97f3\u7279\u5fb5\u6642\u9593\u5e8f\uf99c \u984c\uff0c\u9020\u6210\u8fa8\uf9fc\u7cfb\u7d71\u96e3\u4ee5\u8fa8\uf9fc\u5176\u7279\u5fb5\u800c\u5f71\u97ff\u6b63\u78ba\u6027\u3002\u672c\uf941\u6587\u7684\u7814\u7a76\u76ee\u7684\u662f\uf9dd\u7528 Tao-Hsing Chang, Chia-Bin Chou, Shou-Yen Su and Chien-Liang Liu \u53ca\u5176\u8abf\u8b8a\u983b\u8b5c\uf92d\u63d0\u5347\u8a9e\u97f3\u7279\u5fb5\u7684\u5f37\u5065\u6027\u3002\u672c\uf941\u6587\u5373\u662f\u5f9e\u8a9e\u97f3\u7279\u5fb5\u6642\u9593\u5e8f\uf99c\u7684 \u7279\u5b9a\uf9b4\u57df\u4e3b\u984c\u8a9e\uf9be\u4e2d\u5448\u73fe\u7684\u8a5e\u5f59\u3001\u8a9e\u6cd5\u53ca\u8a9e\uf9be\u898f\u5247\u63d0\u9ad8\uf9ea\u7dda\u624b\u5beb\u4e2d\u6587\u6587\u5b57\u8fa8 5. Using Kohonen Maps of Chinese Morphological Families to Visualize the \u8abf\u8b8a\u983b\u8b5c\u57df\u8457\u624b\uff0c\u63a1\u7528\u6a5f\uf961\u5f0f\u6f5b\u85cf\u8a9e\u610f\u5206\u6790\u4e4b\u6982\uf9a3\uff0c\u5c0d\u8abf\u8b8a\u983b\u8b5c\u65bd\u4ee5\u6a5f\uf961\u5f0f \uf9fc\uf961\u3002\u672c\u6587\u63d0\u51fa\uf9ba\u4e00\u500b\u4e09\u968e\u6bb5\u65b9\u6cd5\uf92d\u9054\u6210\u76ee\u6a19\u3002\u9996\u5148\u3001\uf9dd\u7528\u8a5e\u5f59\u512a\u5148\u6982\uf9a3\uff0c Interplay of Morphology and Semantics in Chinese \u5206\u89e3\u4e26\u9032\ufa08\u6210\u5206\u5206\u6790\u3001\u9032\u800c\u64f7\u53d6\u51fa\u8f03\u91cd\u8981\u7684\u6210\u5206\u4ee5\u6c42\u5f97\uf901\u5177\u5f37\u5065\u6027\u7684\u8a9e\u97f3\u7279 \u5f9e\u5019\u9078\u5b57\u4e2d\u6311\u9078\u8a9e\uf9be\u5eab\u4e2d\u7684\u8a5e\u5f59\u70ba\u8fa8\uf9fc\u7d50\u679c\u3002\u7b2c\u4e8c\u3001\u67e5\u770b\u5019\u9078\u5b57\u4e2d\u662f\u5426\u51fa\u73fe Bruno Galmar \u5fb5\u3002\u672c\u65b9\u6cd5\u4e4b\u6240\u6709\u5be6\u9a57\u7686\u65bc\u570b\u969b\u901a\u7528\u7684 Aurora-2 \uf99a\u7e8c\uf969\u5b57\u8cc7\uf9be\u5eab\u9032\ufa08\uff0c\u76f8\u8f03 \u7279\u5b9a\u7684\u6587\u6cd5\u7d44\u5408\uff0c\u4e26\u4ee5\u8a72\u7d44\u5408\u7684\u5019\u9078\u6587\u5b57\u70ba\u8fa8\uf9fc\u7d50\u679c\u3002\u7b2c\u4e09\u3001\u5c07\u5269\u4e0b\u76f8\u9130\uf978 6. The Prior Knowledge Effect on the Processing of Vague Discourse in Mandarin \u65bc\u4f7f\u7528\u6885\u723e\u5012\u983b\u8b5c\u7279\u5fb5\u4e4b\u57fa\u790e\u5be6\u9a57\uff0c\u672c\u65b9\u6cd5\u80fd\u9054\u5230 62.84%\u7684\u76f8\u5c0d\u932f\u8aa4\ufa09\u4f4e \u500b\u672a\u6c7a\u5b9a\u7684\u5019\u9078\u5b57\u96c6\u7d44\u6210\u5b57\uf905\uff0c\u4e26\u548c\u4e8b\u5148\u7531\u8a9e\uf9be\u5eab\u6240\u7522\u751f\u6536\uf93f\u7684\u96d9\u5b57\u7d44\u6bd4 Chinese \uf961\u3002\u6b64\u5916\uff0c\u6211\u5011\u4e5f\u5617\u8a66\u5c07\u6240\u63d0\u65b9\u6cd5\u8ddf\u4e00\u4e9b\u77e5\u540d\u7684\u7279\u5fb5\u5f37\u5065\u6280\u8853\u505a\u7d50\u5408\uff1b\u5be6\u9a57 \u5c0d\uff0c\uf974\u5019\u9078\u5b57\u4e2d\u5b58\u5728\u96d9\u5b57\u7d44\u5247\u4ee5\u505a\u70ba\u8fa8\uf9fc\u7d50\u679c\u3002\u5be6\u9a57\u7d50\u679c\u986f\u793a\u672c\u6587\u6240\u63d0\u65b9\u6cd5 Shu-Ping Gong and Kathleen Ahrens 7. On the Learning of Chinese Aspect Markers through Multimedia Program \u986f\u793a\uff0c\u76f8\u5c0d\u65bc\u55ae\u4e00\u65b9\u6cd5\u800c\u8a00\uff0c\u6b64\u7d50\u5408\u6cd5\u53ef\u9032\u4e00\u6b65\u63d0\u5347\u8fa8\uf9fc\ufa1d\u78ba\uf961\uff0c\u4ee3\u8868\u6240\u63d0 \u4e4b\u65b0\u65b9\u6cd5\u8207\u8a31\u591a\u7279\u5fb5\u5f37\u5065\u6280\u8853\u6709\uf97c\u597d\u7684\u52a0\u6210\u6027\u3002 \u53ef\u6709\u6548\u7684\u63d0\u9ad8\u8fa8\uf9fc\uf961\uff0c\u7531\u55ae\u4e00\u5b57\u983b\u6c7a\u5b9a\u6cd5\u7684 0.45 \u63d0\u5347\u81f3 0.85\u3002</td></tr><tr><td colspan=\"2\">Chair: Prof. Jhing-Fa Wang Yu-Jui Huang, Ming-Chin Yen, Guan-Huei Wu, Yao-Yi Wang and Jui-Feng Yeh \u8072\uff0c\u537b\uf967\u77e5\u5176\u7a2e\uf9d0\u70ba\u4f55\u3002\u70ba\uf9ba\u5354\u52a9\u5927\u773e\uf9fc\u5225\u9ce5\uf9d0\uff0c\u672c\uf941\u6587\u63a2\u8a0e\u9ce5\u9cf4\u8072\u81ea\u52d5\u8fa8 \u6700\u5f8c\uff0c\u611f\u6fc0\u5404\u4f4d\u8207\u6703\u5148\u9032\u7684\u7a4d\u6975\uf96b\u8207\u548c\u652f\u6301\uff0c\u4f7f\u672c\u6b21\u7814\u8a0e\u6703\u5f97\u4ee5\u9806\uf9dd\u8209\ufa08\u3002 17:00~18:00 Walking to banguet place (\u7f8e\uf988\u4fe1\u98ef\u5e97) 10. Diagnosing Discoursal Organization in Learner Writing via Conjunctive \uf9fc\u554f\u984c\uff0c\u900f\u904e\u8a9e\u97f3\u8fa8\uf9fc\u76f8\u95dc\u6280\u8853\uff0c\u8a2d\u8a08\u9ce5\u9cf4\u8072\u8fa8\uf9fc\u7cfb\u7d71\u3002\u6211\u5011\u5206\u5225\u5f9e\u97f3\u8272\u53ca</td></tr><tr><td colspan=\"2\">18:00-20:00 Banquet (\u7f8e\uf988\u4fe1\u98ef\u5e97 buffet) Adverbials \u97f3\u9ad8\uf978\u500b\u5c64\u9762\u9032\ufa08\u5206\u6790\uff0c\uf9dd\u7528\u6885\u723e\u523b\ufa01\u5012\u983b\u8b5c\u4fc2\uf969\u8868\u793a\u9ce5\u9cf4\u8072\u7684\u97f3\u8272\u7279\u5fb5\uff0c</td></tr><tr><td colspan=\"2\">Tung-Yu Kao and Li-Mei Chen \u4e26\u642d\u914d\u9ad8\u65af\u6df7\u5408\u6a21\u578b\u9032\ufa08\u7279\u5fb5\u7684\uf96b\uf969\u6a21\u578b\u5316\u8207\u6bd4\u5c0d\uff1b\u800c\u97f3\u9ad8\u5c64\u9762\u5206\u6790\u5247\u8a74\u5716</td></tr><tr><td colspan=\"2\">September 9, 2011 (Friday) 9:30 ~ 16:20 11. Compositional Operations of Mandarin Chinese Verb \"da3\": A Generative \u6c42\u53d6\u9ce5\u9cf4\u8072\u6240\u5c0d\u61c9\u7684\u97f3\u7b26\uff0c\u518d\uf9dd\u7528\u96d9\uf99a\u6587\u6a21\u578b\u6355\u6349\u97f3\u7b26\u7684\u52d5\u614b\u8b8a\u5316\u8cc7\u8a0a\uff0c\u4e26</td></tr><tr><td colspan=\"2\">9:30-10:30 Invited Talk: Some Issues on Statistical Lexicon Approach \u64da\u4ee5\u6bd4\u5c0d\u672a\u77e5\u9ce5\u9cf4\u8072\u3002\u6211\u5011\u6311\u9078\u51fa\u5927\u53f0\uf963\u5730\u5340\u5e38\ufa0a\u7684\u5341\u7a2e\u9ce5\uf9d0\uff0c\u4e26\u5f9e\u5546\u696d CD Speaker: Prof. Jingbo Zhu,</td></tr><tr><td colspan=\"2\">Machine Translation Using Source and Li-Chuan Ku \u53ca\u9ce5\uf9d0\u76f8\u95dc\u7db2\u7ad9\u4e0a\u6536\u96c6\u9ce5\u9cf4\u8072\u8cc7\uf9be\uff0c\u4f7f\u7cfb\u7d71\u8a13\uf996\u548c\u6e2c\u8a74\u97f3\u6a94\u5206\u5225\u5c6c\uf967\u540c\u7684\uf92d Northeastern University,</td></tr><tr><td colspan=\"2\">Target (or) Syntax 12. Typological Universals and Intrinsic Universals on the L2 Acquisition of ShenYang, China \u6e90\u3002\u5be6\u9a57\u7d50\u679c\u767c\u73fe\uff0c\u63a1\u7528\u97f3\u8272\u3001\u97f3\u9ad8\u3001\u8207\u7d50\u5408\uf978\u8005\u7684\u7cfb\u7d71\u8fa8\uf9fc\u6b63\u78ba\uf961\u5206\u5225\u70ba</td></tr><tr><td>Chin-Chin Tseng 10:30-11:00 Coffee Break Consonant Clusters 71.1%\u300172.1%\u3001\u8207 75.04%\u3002</td><td>Chair: Prof. Liang-Chih Yu</td></tr><tr><td colspan=\"2\">11:00-12:00 Oral Session 2: Machine Translation and 13. \u591a\u8a9e\u8a9e\u78bc\u8f49\u63db\u4e4b\u672a\u77e5\u8a5e\u64f7\u53d6 3. \u4f7f\u7528\u5206\u6bb5\u5f0f GMM \u53ca\u81ea\u52d5 GMM \u6311\u9078\u4e4b\u8a9e\u97f3\u8f49\u63db\u65b9\u6cd5 Chair: Prof. Yuen-Hsien Tseng Word Segmentation Yi-Lun Wu, Chaio-Wen Hsieh, Wei-Hsuan Lin, Chun-Yi Liu and Liang-Chih Yu Hung-Yan Gu and Sung-Fung Tsai</td></tr><tr><td colspan=\"2\">\u5927\u6703\u4e3b\u5e2d \u5ed6\u5143\u752b \u8b70\u7a0b\u4e3b\u5e2d \u8521\u5049\u548c\u3001\u79b9\uf97c\u6cbb \u8b39\uf9fc 2011 \uf98e 9 \u6708 8 \u65e5 \u672c\uf941\u6587\u63d0\u51fa\u5206\u6bb5\u5f0f(segmental)\u9ad8\u65af\u6df7\u5408\u6a21\u578b(Gaussian mixture model, GMM) 12:00-13:00 Lunch 13:00-14:30 Poster Session 2: Poster Papers \u7684\u89c0\uf9a3\uff0c\u7528\u4ee5\u6539\u9032\u8a9e\u97f3\u8f49\u63db\u7684\u6548\u80fd\uff0c\u800c\u70ba\uf9ba\u61c9\u7528\u8a72\u89c0\uf9a3\u65bc\u7dda\u4e0a(on-line)\u9032\ufa08\u7684 14:30-15:00 Coffee Break \u8a9e\u97f3\u8f49\u63db\u8655\uf9e4\uff0c\u6211\u5011\u4e5f\u767c\u5c55\uf9ba\u4e00\u500b\u57fa\u65bc\u52d5\u614b\u898f\u5283(dynamic programming, DP) 15:00-16:00 Oral Session 3: Chair: Prof. June-Jei Kuo \u4e4b\u81ea\u52d5GMM \u6311\u9078\u7684\u6f14\u7b97\u6cd5\u3002\u6b64\u5916\uff0c \u70ba\uf9ba\u4f7f\u7528\u55ae\u4e00\u9ad8\u65af\u6df7\u5408\uf92d\u5c0d\u6620(mapping) Lexicon, Resources and NLP applications \uf9ea\u6563\u5012\u983b\u8b5c\u4fc2\uf969(discrete cepstrum coefficients, DCC)\u4fc2\uf969\uff0c\u6211\u5011\u4e5f\u8a2d\u8a08\uf9ba\u4e00\u7a2e</td></tr></table>", |
| "text": "\u5e8f \u8a00 \u672c\uf98e\ufa01\u7684ROCLING\u5171\u6536\u5230\u6295\u7a3f\uf969\u70ba 30 \u7bc7\uff0c\u6bcf\u7bc7\uf941\u6587\ufa26\u81f3\u5c11\u7d93 2 \u4f4d\u8a72\uf9b4\u57df\u7684\u5c08\u5bb6 \u5b78\u8005\u5be9\u67e5\uff0c\u6700\u5f8c\u8b70\u7a0b\u59d4\u54e1\u6703\u5171\u63a5\u53d7 12 \u7bc7oral presentation\uf941\u6587\u548c 13 \u7bc7poster", |
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| "content": "<table><tr><td>for semantic satiation. Conclusions</td><td>drawn from our computational</td></tr><tr><td>experimentations and calculations ar</td><td>e concordant with [1] behavioral</td></tr><tr><td>experimental results. We finally showed</td><td>that our work could be helpful to</td></tr><tr><td>linguists to prepare adequate word lists</td><td>for the behavioral study of Chinese</td></tr><tr><td>morphological families.</td><td/></tr></table>", |
| "text": "In their LDT experim ent, [1] found evid ence for morphological satiation but not", |
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