Text, Speech and Dialogue 文本、语音与对话

2003-10  

北京燕山出版社  

Matousek, Vaclav; Mautner, Pavel;  

426  

This book constitutes the refereed proceedings of the 6th International Conference on Text, Speech and Dialogue, TSD 2003, held in Ceské Budejovice, Czech Republic in September 2003. The 60 revised full papers presented together with 2 invited contributions were carefully reviewed and selected from 121 submissions. The papers present a wealth of state-of-the-art research and development results in the field of natural language processing with an emphasis on text, speech, and spoken language ranging from theoretical and methodological issues to applications in various fields, such as web information retrieval, the semantic web, algorithmic learning, and dialogue systems.

Invited Talks Combating the Sparse Data Problem of Language Modelling Toward Robust Speech Recognition and UnderstandingText A Pilot Study of English Selectional Preferences and Their Cross-Lingual Compatibility with Basque Auto-tagging of Text Documents into XML Stable Coordinated Pairs in Text Processing Backoff DOP: Parameter Estimation by Backoff Document Clustering into an Unknown Number of Clusters Using a Genetic Algorithm Experiments in German Treebank Parsing A Theoretical Basis of an Architecture of a Shell of a Reasonably Robust Syntactic Analyser Si3Trenn and Si3Silb: Using the SiSiSi Word Analysis System for Pre-hyphenation and Syllable Counting in German Documents Detecting Annotation Errors in a Corpus by Induction of Syntactic Patterns The Computational Complexity of Rule-Based Part-of-Speech Tagging Text Corpus with Errors Identification of Multiwords as Preprocessing for Automatic Extraction of Lexical Similarities Build a Large-Scale Syntactically Annotated Chinese Corpus Computational Benefits of a Totally Lexicalist Grammar Using a Czech Valency Lexicon for Annotation Support On Concept Based Approach for Determining Semantic Index Terms Corpora Issues in Validation of Serbian Wordnet Optimising Attribute Selection in Conversational Search Russian Corpus of the 19th CenturySpeech On Homogeneous Segments Advances in Automatic Speech Recognition by Imitating Spreading Activation.. The Incorporation of Confidence Measures to Language Understanding Speech Recognition with #-Law Companded Features on Reverberated Signals . Understanding Speech Based on a Bayesian Concept Extraction Method A Data-Driven Framework for Intonational Phrase Break Prediction Phoneme Recognition Using Temporal Patterns ……DialogueAuthor Index

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