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Titlebook: Human Language Technology. Challenges for Computer Science and Linguistics; 4th Language and Tec Zygmunt Vetulani Conference proceedings 20

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Fumiyo Fukumoto,Yoshimi Suzukir nicht erfaßt werden. Hierfür wurde ein elektromechanisches Stoßerregungsverfahren zur “Klangprüfung” ausgearbeitet.Auch das Schwingungssystem “Zahnrad”, in dem viele Einzelschwinger mit unterschiedlichen Schwingungsarten zusammenklingen, wurde erstmalig untersucht.
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Robust Speech Recognition in the Car Environmentsignal obtained from SS, we conducted supervised WFST network adaptation to the characteristics of a given driver. In the best case, for highly noisy conditions, the speaker dependent WFST decoder achieved 70 percentage points improvement when compared with traditional speaker independent speech recognition systems.
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Time Durations of Phonemes in Polish Language for Speech and Speaker Recognitiontion for a case of speech segmentation was obtained. The collected data are presented in the paper (average values for all available male speakers and for some chosen ones), along with comments on the corpus and the used method. The obtained data were compared with the expected values according to phonetic literature.
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Using Lexicon-Grammar Tables for French Verbs in a Large-Coverage Parserhe linguistic basis of this conversion process, and the resulting lexicon. We compare the results of the . parser on the EASy reference corpus depending on whether it relies on the verb entries of the Le. or those of the converted Lexicon-Grammar verb tables.
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Effect of Overt Pronoun Resolution in Topic Trackingwith selectional preferences. They are derived from the WordNet and VerbNet. The results on the TDT3 English show the usefulness of the overt pronoun resolution, especially for a small number of positive training data.
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0302-9743 e organized in topical sections on speech processing, computational morphology/lexicography, parsing, computational semantics, dialogue modeling and processing, digital language resources, WordNet, document processing, information processing, and machine translation.978-3-642-20094-6978-3-642-20095-3Series ISSN 0302-9743 Series E-ISSN 1611-3349
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