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2011 International Conference on Asian Language Processing最新文献

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Joint Decoding for Chinese Word Segmentation and POS Tagging Using Character-Based and Word-Based Discriminative Models 基于字符和词判别模型的汉语分词和词性标注联合译码
2011 International Conference on Asian Language Processing Pub Date : 2011-11-15 DOI: 10.1109/IALP.2011.24
Xinxin Li, Xuan Wang, Lin Yao
{"title":"Joint Decoding for Chinese Word Segmentation and POS Tagging Using Character-Based and Word-Based Discriminative Models","authors":"Xinxin Li, Xuan Wang, Lin Yao","doi":"10.1109/IALP.2011.24","DOIUrl":"https://doi.org/10.1109/IALP.2011.24","url":null,"abstract":"For Chinese word segmentation and POS tagging problem, both character-based and word-based discriminative approaches can be used. Experiments show that these two approaches bring different errors and can complement each other. In this paper, we propose a joint decoding model based on both character-based and word-based models using multi-beam search algorithm. Experimental results show that the joint decoding model outperforms character-based and word-based baseline models.","PeriodicalId":297167,"journal":{"name":"2011 International Conference on Asian Language Processing","volume":"88 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127020677","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}
引用次数: 3
Corpus Based Extractive Document Summarization for Indic Script 基于语料库的印度语抽取文档摘要
2011 International Conference on Asian Language Processing Pub Date : 2011-11-15 DOI: 10.1109/IALP.2011.66
P. Reddy, B. V. Vardhan, A. Govardhan
{"title":"Corpus Based Extractive Document Summarization for Indic Script","authors":"P. Reddy, B. V. Vardhan, A. Govardhan","doi":"10.1109/IALP.2011.66","DOIUrl":"https://doi.org/10.1109/IALP.2011.66","url":null,"abstract":"Summarization is a process of generating condensed form of a given text document, which retains its information and overall meaning. Document summarization approaches are broadly classified into two i.e. extractive summarization approach and abstractive summarization approach. In this paper, we performed single document summarization to generate summary of Telugu text document by using extractive summarization approach. Though there are many document surface features exists, we consider those features which can extensively cover original document and generates summary with less redundancy. We considered the features such as sentence position, sentence similarity with the title, centrality of the sentence and word frequency. To increase the strength of the features, we used a corpus which contains 3000 documents and performed various preprocessing steps like stop word elimination and stemming to retain more meaningful words within the sentence. Sentences are ranked by calculating the scores for each individual sentence by considering all four features simultaneously with optimum weights. The optimum weights to the feature are learned with the help human constructed summaries. The machine generated summaries are evaluated using F1 measure followed by human judgements.","PeriodicalId":297167,"journal":{"name":"2011 International Conference on Asian Language Processing","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125013016","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}
引用次数: 8
Polarity Shifting: Corpus Construction and Analysis 极性转移:语料库建构与分析
2011 International Conference on Asian Language Processing Pub Date : 2011-11-15 DOI: 10.1109/IALP.2011.27
Xiaoqian Zhang, Shoushan Li, Guodong Zhou, Hongxia Zhao
{"title":"Polarity Shifting: Corpus Construction and Analysis","authors":"Xiaoqian Zhang, Shoushan Li, Guodong Zhou, Hongxia Zhao","doi":"10.1109/IALP.2011.27","DOIUrl":"https://doi.org/10.1109/IALP.2011.27","url":null,"abstract":"Polarity shifting has been a challenge to automatic sentiment classification. In this paper, we create a corpus which consists of polarity-shifted sentences in various kinds of product reviews. In the corpus, both the sentimental words and shifting trigger words are annotated. Furthermore, we analyze all the polarity shifted sentences and categorize them into five categories: opinion-itself, holder, target, time and hypothesis. Experimental study shows the agreement of annotation and the distribution of the five categories of polarity shifting.","PeriodicalId":297167,"journal":{"name":"2011 International Conference on Asian Language Processing","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122669284","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}
引用次数: 10
A Study of the Classification and Arrangement Rule of Uygur Morphemes for Information Processing 维吾尔语信息加工语素分类排列规律研究
2011 International Conference on Asian Language Processing Pub Date : 2011-11-15 DOI: 10.1109/IALP.2011.50
Pu Li, Shuzhen Shi
{"title":"A Study of the Classification and Arrangement Rule of Uygur Morphemes for Information Processing","authors":"Pu Li, Shuzhen Shi","doi":"10.1109/IALP.2011.50","DOIUrl":"https://doi.org/10.1109/IALP.2011.50","url":null,"abstract":"In the processing of modern uygur corpus, it is necessary to make a word character mark study of the word level within the modern uygur language data. Since the classification of morpheme is to serve the mark of word character, the article classifies Uygur morphemes from their functions and lists their all classifications and arrangement rules.","PeriodicalId":297167,"journal":{"name":"2011 International Conference on Asian Language Processing","volume":"1047 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123141081","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}
引用次数: 0
The Phoneme-Level Articulator Dynamics for Pronunciation Animation 语音动画的音素级发音器动态
2011 International Conference on Asian Language Processing Pub Date : 2011-11-15 DOI: 10.1109/IALP.2011.13
Sheng Li, Lan Wang, En Qi
{"title":"The Phoneme-Level Articulator Dynamics for Pronunciation Animation","authors":"Sheng Li, Lan Wang, En Qi","doi":"10.1109/IALP.2011.13","DOIUrl":"https://doi.org/10.1109/IALP.2011.13","url":null,"abstract":"Speech visualization can be extended to a task of pronunciation animation for language learners. In this paper, a three dimensional English articulation database is recorded using Carstens Electro-Magnetic Articulograph (EMA AG500). An HMM-based visual synthesis method for continuous speech is implemented to recover 3D articulatory information. The synthesized articulations are then compared to the EMA recordings for objective evaluation. Using a data-driven 3D talking head, the distinctions between the confusable phonemes can be depicted through both external and internal articulatory movements. The experiments have demonstrated that the HMM-based synthesis with limited training data can achieve the minimum RMS error of less than 2mm. The synthesized articulatory movements can be used for computer assisted pronunciation training.","PeriodicalId":297167,"journal":{"name":"2011 International Conference on Asian Language Processing","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129690948","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}
引用次数: 5
Error-Driven Adaptive Language Modeling for Chinese Pinyin-to-Character Conversion 基于错误驱动的汉语拼音字符转换自适应语言建模
2011 International Conference on Asian Language Processing Pub Date : 2011-11-15 DOI: 10.1109/IALP.2011.46
J. Huang, D. Powers
{"title":"Error-Driven Adaptive Language Modeling for Chinese Pinyin-to-Character Conversion","authors":"J. Huang, D. Powers","doi":"10.1109/IALP.2011.46","DOIUrl":"https://doi.org/10.1109/IALP.2011.46","url":null,"abstract":"The performance of Chinese Pinyin-to-Character conversion is severely affected when the characteristics of the training and conversion data differ. As natural language is highly variable and uncertain, it is impossible to build a complete and general language model to suit all the tasks. The traditional adaptive MAP models mix the task independent data with task dependent data using a mixture coefficient but we never can predict what style of language users have and what new domain will appear. This paper presents a statistical error-driven adaptive language modeling approach to Chinese Pinyin input system. This model can be incrementally adapted when an error occurs during Pinyin-to-Character converting time. It significantly improves Pinyin-to-Character conversion rate.","PeriodicalId":297167,"journal":{"name":"2011 International Conference on Asian Language Processing","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130184442","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}
引用次数: 0
Non-native Accent Pronunciation Modeling in Automatic Speech Recognition 自动语音识别中的非母语口音发音建模
2011 International Conference on Asian Language Processing Pub Date : 2011-11-15 DOI: 10.1109/IALP.2011.65
Basem H. A. Ahmed, T. Tan
{"title":"Non-native Accent Pronunciation Modeling in Automatic Speech Recognition","authors":"Basem H. A. Ahmed, T. Tan","doi":"10.1109/IALP.2011.65","DOIUrl":"https://doi.org/10.1109/IALP.2011.65","url":null,"abstract":"In this paper, we proposed an approach to model the pronunciation of non-native accented speech for automatic speech recognition system. The proposed method consists of two phases: phones adaptation and pronunciation generalization. In phones adaptation, we identify the phones used by non-native speakers compared to the standard phones, and then remove the mismatch, as a result of the influence from mother tongue. In pronunciation adaptation, we predict the pronunciations of words by non-native speakers. The results shown the proposed approach reduce the WER from 44.8% to 41.9%.","PeriodicalId":297167,"journal":{"name":"2011 International Conference on Asian Language Processing","volume":"345 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132024778","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}
引用次数: 6
Acoustic Space in Motor Disorders of Speech: Two Case Studies 言语运动障碍的声空间:两个个案研究
2011 International Conference on Asian Language Processing Pub Date : 2011-11-15 DOI: 10.1109/IALP.2011.25
Vaishna Narang, Deepshikha Misra, Garima Dalal
{"title":"Acoustic Space in Motor Disorders of Speech: Two Case Studies","authors":"Vaishna Narang, Deepshikha Misra, Garima Dalal","doi":"10.1109/IALP.2011.25","DOIUrl":"https://doi.org/10.1109/IALP.2011.25","url":null,"abstract":"Studies on acoustic space have strengthened the view that vowels are acoustically and perceptually defined in terms of their relative positioning in vowel space. Every speaker identifies an optimal vowel space within which perceptual, phonological contrast is maintained. This is an interdisciplinary study involving speech pathology, physics of speech and neurology of speech. Two case studies of dysarthria presented in this paper are -- one Parkinson's disease and one case of acute ischemic stroke with age-gender-language matched controls. A detailed acoustic analysis shows how acoustic space gets considerably reduced, in both PD and stroke, and in these two very different kinds of dysarthrias the acoustic space is also modified very differently. The study also examines the third formant to show that the higher formants are consistently lowered in both PD and stroke. Hypokinetic speech production in these cases is reflected in lower intensity. The results have significant applications in clinical acoustics and in the theoretical fields of neurology of speech, linguistics and phonology.","PeriodicalId":297167,"journal":{"name":"2011 International Conference on Asian Language Processing","volume":"150 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116357609","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}
引用次数: 1
Research on Multi-document Summarization Model Based on Dynamic Manifold-Ranking 基于动态流形排序的多文档摘要模型研究
2011 International Conference on Asian Language Processing Pub Date : 2011-11-15 DOI: 10.1109/IALP.2011.55
Meiling Liu, Honge Ren, Dequan Zheng, T. Zhao
{"title":"Research on Multi-document Summarization Model Based on Dynamic Manifold-Ranking","authors":"Meiling Liu, Honge Ren, Dequan Zheng, T. Zhao","doi":"10.1109/IALP.2011.55","DOIUrl":"https://doi.org/10.1109/IALP.2011.55","url":null,"abstract":"This paper introduces a model to describe the dynamic evolution of network information, identifying and analyzing the document collection on the same topic in different stages. In order to characterize the dynamic relationship of evolutionary content differences, this paper presents a dynamic multi-document summarization model, which is called the Dynamic Manifold-Ranking Model (DMRM). Some experiments were conducted on the Update Task test data from TAC2008, and results of new model were compared with results from the TAC2008 evaluation. This comparison demonstrated the effectiveness of the model.","PeriodicalId":297167,"journal":{"name":"2011 International Conference on Asian Language Processing","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114745902","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}
引用次数: 0
An Integrated Approach Using Conditional Random Fields for Named Entity Recognition and Person Property Extraction in Vietnamese Text 基于条件随机场的越南语文本命名实体识别与人物属性提取集成方法
2011 International Conference on Asian Language Processing Pub Date : 2011-11-15 DOI: 10.1109/IALP.2011.37
Hoang-Quynh Le, Mai-Vu Tran, Nhat-Nam Bui, N. Phan, Quang-Thuy Ha
{"title":"An Integrated Approach Using Conditional Random Fields for Named Entity Recognition and Person Property Extraction in Vietnamese Text","authors":"Hoang-Quynh Le, Mai-Vu Tran, Nhat-Nam Bui, N. Phan, Quang-Thuy Ha","doi":"10.1109/IALP.2011.37","DOIUrl":"https://doi.org/10.1109/IALP.2011.37","url":null,"abstract":"Personal names are among one of the most frequently searched items in web search engines and a person entity is always associated with numerous properties. In this paper, we propose an integrated model to recognize person entity and extract relevant values of a pre-defined set of properties related to this person simultaneously for Vietnamese. We also design a rich feature set by using various kind of knowledge resources and a apply famous machine learning method CRFs to improve the results. The obtained results show that our method is suitable for Vietnamese with the average result is 84 % of precision, 82.56% of recall and 83.39 % of F-measure. Moreover, performance time is pretty good, and the results also show the effectiveness of our feature set.","PeriodicalId":297167,"journal":{"name":"2011 International Conference on Asian Language Processing","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117083362","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}
引用次数: 4
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