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內(nèi)容概要

This book constitutes the refereed proceedings of the 9th International Conference on Text, Speech and Dialogue, TSD 2006, held in Brno, Czech Republic, in September 2006.    The 87 revised full papers presented together with 2 invited papers were carefully reviewed and selected from 175 submissions. The papers present a wealth of state-of-the-art research results in the field of natural language processing with an emphasis on text, speech, and spoken dialogue ranging from theoretical and methodological issues to applications in various fields and with special focus on corpora, texts and transcription, speech analysis, recognition and synthesis, as well as their intertwining within NL dialogue systems.

書籍目錄

Ⅰ  Invited Papers　Learning by Reading: An Experiment in Text Analysis　Depth of Feelings: Alternatives for Modeling Affect in User ModelsⅡ  Text　The Lexico-Semantic Annotation of PDT　Czech Verbs of Communication and the Extraction of Their Frames 　Featuring of Sex-Dependent Nouns in Databases Oriented to European Languages　On the Behaviors of SVM and Some Older Algorithms in Binary Text Classification Tasks　A Knowledge Based Strategy for Recognising Textual Entailment　Paragraph-Level Alignment of an English-Spanish Parallel Corpus of Fiction Texts Using 　Bilingual Dictionaries　Some Methods of Describing Discontinuity in Polish and Their Cost-Effectiveness　Exploitation of the VerbaLex Verb Valency Lexicon in the Syntactic Analysis of Czech　Hungarian-English Machine Translation Using GenPar　Combining Czech Dependency Parsers　Processing Korean Numeral Classifier Constructions in a Typed Feature Structure Grammar　Parsing Head Internal and External Relative Clause Constructions in Korean　A Hybrid Model for Extracting Transliteration Equivalents from Parallel Corpora　Sentence Compression Using Statistical Information About Dependency Path Length　Transformation-Based Tectogrammatical Analysis of Czech　The Effect of Semantic Knowledge Expansion to Textual Entailment Recognition　Segmentation of Complex Sentences　Enhanced Centroid-Based Classification Technique by Filtering Outliers……Ⅲ SpeechⅣ DialogueAuthor Index

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