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| 001 | 978-3-540-48239-0 | ||
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| 008 | 100301s1999 gw | s |||| 0|eng d | ||
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_a9783540482390 _9978-3-540-48239-0 |
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_a10.1007/3-540-48239-3 _2doi |
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_a621.382 _223 |
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_aText, Speech and Dialogue _h[electronic resource] : _bSecond International Workshop, TSD'99 Plzen, Czech Republic, September 13-17, 1999, Proceedings / _cedited by Vaclav Matousek, Pavel Mautner, Jana Ocelikova, Petr Sojka. |
| 250 | _a1st ed. 1999. | ||
| 264 | 1 |
_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg : _bImprint: Springer, _c1999. |
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| 300 |
_aXII, 398 p. _bonline resource. |
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_atext _btxt _2rdacontent |
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_acomputer _bc _2rdamedia |
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_aonline resource _bcr _2rdacarrier |
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_atext file _bPDF _2rda |
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| 490 | 1 |
_aLecture Notes in Artificial Intelligence, _x2945-9141 ; _v1692 |
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| 505 | 0 | _aInvited Talks -- Research Issues for the Next Generation Spoken Dialogue Systems -- Data-Driven Analysis of Speech -- Towards a Road Map for Machine Translation Research -- The Prague Dependency Treebank: Crossing the Sentence Boundary -- Text -- Tiered Tagging and Combined Language Models Classifiers -- Syntactic Tagging: Procedure for the Transition from the Analytic to the Tectogrammatical Tree Structures -- Information, Language, Corpus and Linguistics -- Prague Dependency Treebank: Restoration of Deletions -- Some Types of Syntactic Ambiguity; How to Treat Them in an Automatic Procedure -- Semantic Annotation of (Czech) Corpus Texts -- The General Principles of the Diachronic Part of the Czech National Corpus -- Performing Adaptive Morphological Analysis Using Internet Resources -- Automatic Text-to-Speech Alignment: Aspects of Robustification -- Czech Translation of G. Orwell’s ‘1984’: Morphology and Syntactic Patterns in the Corpus -- Handling Word Order in a Multilingual System for Generation of Instructions -- Text Structuring in a Multilingual System for Generation of Instructions -- Leveraging Syntactic Information for Text Normalization -- Automatic Structuring of Written Texts -- Implementation of Efficient and Portable Parser for Czech -- Word Sense Disambiguation of Czech Texts -- The Acquisition of Some Lexical Constraints from Corpora -- Run-Time Extensible (Semi-)Top-Down Parser -- Enhancing Readability of Automatic Summaries by Using Schemas -- Use of a Weighted Topic Hierarchy for Document Classification -- Speech -- Remarks on Sentence Prosody and Topic-Focus Articulation -- Speech Recognition Using Elman Neural Networks -- Use of Hidden Markov Models for Evaluation of Russian Digits Pronunciation by the Foreigners -- Allophone-Based Concatenative Speech Synthesis Systemfor Russian -- Intonation Questions in English and Armenian: Results of the Perceptual Study -- Methods of Sentences Selection for Read-Speech Corpus Design -- Speaker Identification Using Discriminative Centroids Weighting — A Growing Cell Structure Approach -- Speech Analysis and Recognition Synchronised by One-Quasiperiodical Segmentation -- Spanish Phoneme Classification by Means of a Hierarchy of Kohonen Self-Organizing Maps -- Information Theoretic Based Segments for Language Identification -- Fast and Robust Features for Prosodic Classification? -- A Segment Based Approach for Prosodic Boundary Detection? -- Speech Recognition and Syllable Segments -- Text Preprocessing for Czech Speech Synthesis -- MLPs and Mixture Models for the Estimation of the Posterior Probabilities of Class Membership -- A Simple Spanish Part of Speech Tagger for Detection and Correction of Accentuation Error -- Slovene Interactive Text-to-Speech Evaluation Site — SITES -- Developing HMM-Based Recognizers with ESMERALDA -- Large Vocabulary Speech Recognition for Read and Broadcast Czech -- Rules for Automatic Grapheme-to-Allophone Transcription in Slovene -- Speech Segmentation Aspects of Phone Transition Acoustical Modelling -- Context Dependent Phoneme Recognition -- State-Space Model Based Labeling of Speech Signals -- Very Low Bit Rate Speech Coding: Comparison of Data-Driven Units with Syllable Segments -- Storing Prosody Attributes of Spontaneous Speech -- Dialogue -- An Overview of the State of the Art of Coding Schemes for Dialogue Act Annotation -- Structural and Semantic Dialogue Filters -- A Retrieval System of Broadcast News Speech Documents through Keyboard and Voice -- Situations in Dialogs -- Components for Building an Automatic Voice-Dialogue Telephone System -- Modeling of the InformationRetrieval Dialogue Systems -- Improvement of the Recognition Rate of Spoken Queries to the Dialogue System -- Analysis of Different Dialog Strategies in the Slovenian Spoken Dialog System -- Posters -- Dispersion of Words in a Language Corpus -- Corpus-Based Rules for Czech Verb Discontinuous Constituents -- Automatic Modelling of Regional Pronunciation Variation for Russian -- Experiments Regarding the Superposition of Emotional Features on Neutral Korean Speech -- Modeling Cue Phrases in Turkish: A Case Study -- Speaker Identification Based on Vector Quantization -- Robustness in Tabular Deduction for Multimodal Logical Grammar — Part 1 -- Classifying Visemes for Automatic Lipreading -- Semantic Inference in the Human-Machine Communication -- Playing with RST: Two Algorithms for the Automated Manipulation of Discourse Trees -- Another Step in the Modeling of Basque Intonation: Bermeo -- Electronic Dictionaries: For Both Humans and Computers -- Statistical Evaluation of Similarity Measures on Multi-lingual Text Corpora -- Document Title Patterns in Information Retrieval -- Statistical Approach to the Automatic Synthesis of Czech Speech -- Language Model Representations for the GOPOLIS Database -- Recognition of Alkohol Influence on Speech -- Recording of Czech and Slovak Telephone Databases within SpeechDat-E -- Pragmatic Features of the Electronic Discourse in the Internet. | |
| 650 | 0 | _aSignal processing. | |
| 650 | 0 | _aArtificial intelligence. | |
| 650 | 0 | _aInformation storage and retrieval systems. | |
| 650 | 0 | _aNatural language processing (Computer science). | |
| 650 | 1 | 4 | _aSignal, Speech and Image Processing. |
| 650 | 2 | 4 | _aArtificial Intelligence. |
| 650 | 2 | 4 | _aInformation Storage and Retrieval. |
| 650 | 2 | 4 | _aNatural Language Processing (NLP). |
| 700 | 1 |
_aMatousek, Vaclav. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
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| 700 | 1 |
_aMautner, Pavel. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
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| 700 | 1 |
_aOcelikova, Jana. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
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| 700 | 1 |
_aSojka, Petr. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
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| 710 | 2 | _aSpringerLink (Online service) | |
| 773 | 0 | _tSpringer Nature eBook | |
| 776 | 0 | 8 |
_iPrinted edition: _z9783540664949 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783662197141 |
| 830 | 0 |
_aLecture Notes in Artificial Intelligence, _x2945-9141 ; _v1692 |
|
| 856 | 4 | 0 | _uhttps://doi.org/10.1007/3-540-48239-3 |
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