{"title":"Antonyms? Presuppositions? On the Semantics of Two Evaluative Modals Jingran and Guoran in Mandarin","authors":"Jiun-Shiung Wu","doi":"10.6519/TJL.2008.6(1).3","DOIUrl":"https://doi.org/10.6519/TJL.2008.6(1).3","url":null,"abstract":"Jingran indicates that the (non)occurrence of a situation that it presents contradicts the expectation, while guoran indicates that the (non)occurrence of a situation presented by it converges with the expectation. Arguing against Hsieh's (2005, 2006a, 2006b) proposal that evaluative modals in Mandarin do not have a model-theoretic semantics, I propose that, given that the expectation serves as a modal base B which an evaluative conversational background forms, jingran presents a proposition which represents a simple necessity of negation in a possible world w with respect to B, whereas guoran presents a proposition which is equivalent to a simple necessity in a possible world w with respect to B. Contrary to Hsieh's claim that modality in Mandarin has a language-specific property, i.e., that the semantics of certain modals in Mandarin cannot be defined in terms of possibility and necessity, I seek to fit modality in Mandarin into a bigger picture of modality in general and show that it is possible to achieve a universally valid notional category of modality, similar to the works of Kratzer (1981), though different languages may have language-specific choices for modal bases, which result in different types of modality in languages.","PeriodicalId":262574,"journal":{"name":"J. Chin. Lang. Comput.","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116222898","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Chinese Word Segmentation Using Minimal Linguistic Knowledge","authors":"Aitao Chen","doi":"10.3115/1119250.1119271","DOIUrl":"https://doi.org/10.3115/1119250.1119271","url":null,"abstract":"This paper presents a primarily data-driven Chinese word segmentation system and its performances on the closed track using two corpora at the first international Chinese word segmentation bakeoff. The system consists of a new words recognizer, a base segmentation algorithm, and procedures for combining single characters, suffixes, and checking segmentation consistencies.","PeriodicalId":262574,"journal":{"name":"J. Chin. Lang. Comput.","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128081683","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Categorical Ambiguity and Information Content: A Corpus-based Study of Chinese","authors":"Chu-Ren Huang, Ru-Yng Chang","doi":"10.3115/1118824.1118829","DOIUrl":"https://doi.org/10.3115/1118824.1118829","url":null,"abstract":"Assignment of grammatical categories is the fundamental step in natural language processing. And ambiguity resolution is one of the most challenging NLP tasks that is currently still beyond the power of machines. When two questions are combined together, the problem of resolution of categorical ambiguity is what a computational linguistic system can do reasonably good, but yet still unable to mimic the excellence of human beings. This task is even more challenging in Chinese language processing because of the poverty of morphological information to mark categories and the lack of convention to mark word boundaries. In this paper, we try to investigate the nature of categorical ambiguity in Chinese based on Sinica Corpus. The study differs crucially from previous studies in that it directly measure information content as the degree of ambiguity. This method not only offers an alternative interpretation of ambiguity, it also allows a different measure of success of categorical disambiguation. Instead of precision or recall, we can also measure by how much the information load has been reduced. This approach also allows us to identify which are the most ambiguous words in terms of information content. The somewhat surprising result actually reinforces the Saussurian view that underlying the systemic linguistic structure, assignment of linguistic content for each linguistic symbol is arbitrary.","PeriodicalId":262574,"journal":{"name":"J. Chin. Lang. Comput.","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2002-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129197216","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Evaluating Prosody of Mandarin Speech for Language Learning","authors":"M. Dong, Haizhou Li, T. Nwe","doi":"10.21437/Interspeech.2006-544","DOIUrl":"https://doi.org/10.21437/Interspeech.2006-544","url":null,"abstract":"Abstract This paper proposes an approach to automatically evaluate the prosody of Chinese Mandarin speech for language learning. In this approach, we grade the appropriateness of prosody of speech units according to a model speech corpus from a teacher’s voice. To this end, we build two models, which are the prosody model and the scoring model. The prosody model that is built from the teacher’s speech predicts the reference prosody for the learning text. The scoring model compares the student’s prosody with the reference prosody and gives a prosody rating score. Both the prosody model and the scoring model are built using regression tree. To make the two prosodies comparable, we transform the student’s prosody into the teacher’s prosody space. To build the scoring model, we derive from the corpus a reference data set, in which prosody rating is associated with prosody parameters. During speech evaluation, the student’s prosody is first transformed into the teacher’s prosody space and then evaluated by the scoring model. Experiments show that our model works well for speech of new speakers.","PeriodicalId":262574,"journal":{"name":"J. Chin. Lang. Comput.","volume":"74 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131018127","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
