Spelling suggestions: "subject:"mandarin dialect"" "subject:"andarin dialect""
101 |
A study of the effects of task-based learning on the development of communicative competence of Putonghua in a primary classFung, Wai Yee Ruby 01 January 2001 (has links)
No description available.
|
102 |
The effect of teaching Chinese to Hong Kong students through PutonghuaChan, Yuen Wan 01 January 2001 (has links)
No description available.
|
103 |
What is needed by Hong Kong students? : a study of the learner needs, the market needs and the Putonghua curriculumChan, Nora Yuk Mei 01 January 2002 (has links)
No description available.
|
104 |
Putonghua teaching in secondary schools in Hong Kong: the relationship between the syllabus, textbooks andteachersYu, Ka-wai., 茹家蕙. January 1995 (has links)
published_or_final_version / Education / Master / Master of Education
|
105 |
Putonghua as a medium of instruction in teaching Chinese languageNgan, Yuen-pik., 顏婉璧. January 2007 (has links)
published_or_final_version / Education / Master / Master of Education
|
106 |
An evaluation of the implementation of a new Putonghua curriculumLo, Hau-yee., 盧巧儀. January 2000 (has links)
published_or_final_version / Education / Master / Master of Education
|
107 |
Learning Putonghua as an adult: a study of four Hong Kong teachers' experiencesCole III, Samuel Francis. January 2007 (has links)
published_or_final_version / abstract / Linguistics / Master / Master of Arts in Applied Linguistics
|
108 |
A phonological analysis of Hong Kong Cantonese secondary students' errors in Putonghua tones葉娟卿, Ip, Kuen-hing. January 2008 (has links)
published_or_final_version / Linguistics / Master / Master of Arts
|
109 |
"西蜀方言" 的親屬稱謂語研究 =A Study on the Kinship terms in Western Mandarin / Study on the kinship terms in Western Mandarin方雅琴 January 2018 (has links)
University of Macau / Faculty of Arts and Humanities. / Department of Chinese
|
110 |
An error detection and correction framework to improve large vocabulary continuous speech recognition. / CUHK electronic theses & dissertations collectionJanuary 2009 (has links)
In addition to the ED-EC framework, this thesis proposes a discriminative lattice rescoring (DLR) algorithm to facilitate the investigation of the extensibility of the framework. The DLR method recasts a discriminative n-gram model as a pseudo-conventional n-gram model and then uses this recast model to perform lattice rescoring. DLR improves the efficiency of discriminative n-gram modeling and facilitates combined processing of discriminative n-gram modeling with other post-processing techniques such as the ED-EC framework. / This thesis proposes an error detection and correction (ED-EC) framework to incorporate advanced linguistic knowledge sources into large vocabulary continuous speech recognition. Previous efforts that apply sophisticated language models (LMs) in speech recognition normally face a serious efficiency problem due to the intense computation required by these models. The ED-EC framework aims to achieve the full benefit of complex linguistic sources while at the same time maximize efficiency. The framework attempts to only apply computationally expensive LMs where needed in input speech. First, the framework detects recognition errors in the output of an efficient state-of-the-art decoding procedure. Then, it corrects the detected errors with the aid of sophisticated LMs by (1) creating alternatives for each detected error and (2) applying advanced models to distinguish among the alternatives. In this thesis, we implement a prototype of the ED-EC framework on the task of Mandarin dictation. This prototype detects recognition errors based on generalized word posterior probabilities, selects alternatives for errors from recognition lattices generated during decoding and adopts an advanced LM that combines mutual information, word trigrams and POS trigrams. The experimental results indicate the practical feasibility of the ED-EC framework, for which the optimal gain of the focused LM is theoretically achievable at low computational cost. On a general-domain test set, a 6.0% relative reduction in character error rate (CER) over the performance of a state-of-the-art baseline recognizer is obtained. In terms of efficiency, while both the detection of errors and the creation of alternatives are efficient, the application of the computationally expensive LM is concentrated on less than 50% of the utterances. We further demonstrate that the potential benefit of using the ED-EC framework in improving the recognition performance is tremendous. If error detection is perfect and alternatives for an error are guaranteed to include the correct one, the relative CER reduction over the baseline performance will increase to 36.0%. We also illustrate that the ED-EC framework is robust on unseen data and can be conveniently extended to other recognition systems. / Zhou, Zhengyu. / Adviser: Helen Mei-Ling Meng. / Source: Dissertation Abstracts International, Volume: 72-11, Section: B, page: . / Thesis (Ph.D.)--Chinese University of Hong Kong, 2009. / Includes bibliographical references (leaves 142-155). / Electronic reproduction. Hong Kong : Chinese University of Hong Kong, [2012] System requirements: Adobe Acrobat Reader. Available via World Wide Web. / Electronic reproduction. [Ann Arbor, MI] : ProQuest Information and Learning, [201-] System requirements: Adobe Acrobat Reader. Available via World Wide Web. / Abstract also in Chinese.
|
Page generated in 0.0682 seconds