Automatic Speech Processing and Natural Languages.

Cover -- Half-Title Page -- Title Page -- Copyright Page -- Contents -- Introduction -- 1. The Sphere of Lexicons and Knowledge -- 1.1. Lexical semantics -- 1.1.1. Extension of lexical meaning -- 1.1.2. Paradigmatic relations of meaning -- 1.1.3. Theories of lexical meaning -- 1.2. Lexical databases -- 1.2.1. Standards for encoding and exchanging data -- 1.2.2. Standard character encoding -- 1.2.3. Content standards -- 1.2.4. Writing systems -- 1.2.5. A few lexical databases -- 1.3. Knowledge representation and ontologies -- 1.3.1. Knowledge representation -- 1.3.2. Ontologies -- 2. The Sphere of Semantics -- 2.1. Combinatorial semantics -- 2.1.1. Interpretive semantics -- 2.1.2. Generative semantics -- 2.1.3. Case grammar -- 2.1.4. Rastier's interpretive semantics -- 2.1.5. Meaning-text theory -- 2.2. Formal semantics -- 2.2.1. Propositional logic -- 2.2.2. First-order logic -- 2.2.3. Lambda calculus -- 2.2.4. Other types of logic -- 3. The Sphere of Discourse and Text -- 3.1. Discourse analysis and pragmatics -- 3.1.1. Fundamental concepts -- 3.1.2. Utterance production -- 3.1.3. Context, cotext and intertextuality -- 3.1.4. Information structure in discourse -- 3.1.5. Coherence -- 3.1.6. Cohesion -- 3.1.7. Ellipses -- 3.1.8. Textual sequences -- 3.1.9. Speech acts -- 3.2. Computational approaches to discourse -- 3.2.1. Linear segmentation of discourse -- 3.2.2. Rhetorical structure theory and automatic discourse analysis -- 3.2.3. Discourse interpretation: DRT3 -- 3.2.4. Processing anaphora -- 4. The Sphere of Applications -- 4.1. Software engineering for NLP software -- 4.1.1. Lifecycle of an NLP software -- 4.1.2. Software architecture for NLP -- 4.1.3. Serial architectures -- 4.1.4. Data-centered architectures -- 4.1.5. Object-oriented architectures -- 4.1.6. Multi-agent architectures.

4.1.7. Syntactic-semantic cooperation: from cognitive models to software architecture -- 4.1.8. Programming languages for NLP -- 4.1.9. Evaluation of NLP systems -- 4.2. Machine translation (MT) -- 4.2.1. Why is translation difficult? -- 4.2.2. History of MT systems -- 4.2.3. Typology of MT systems -- 4.2.4. The use of MT -- 4.2.5. MT techniques -- 4.2.6. Example of a translation system: Verbmobil -- 4.3. Information retrieval (IR) -- 4.3.1. IR and related domains -- 4.3.2. Lexical information and IR -- 4.3.3. Information retrieval approaches -- 4.4. Big Data (BD) and information extraction -- 4.4.1. Structured, semi-structured and unstructured data -- 4.4.2. Architectures of BD processing systems -- 4.4.3. Role of NLP in BD processing -- 4.4.4. Information extraction -- Conclusion -- Bibliography -- Index -- Other titles from iSTE in Cognitive Science and Knowledge Management -- EULA.

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Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2019. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.