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Spoken Language Generation. Algorithms for generating natural Language in Spoken Dialogue Systems (SDS) - Brossura
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Essay from the year 2007 in the subject English Language and Literature Studies - Linguistics, grade: 1,0 (100%), University of Sheffield, language: English, abstract: This essay describes several algorithms for generating natural language in spoken dialogue systems (SDS). Natural language generation (NLG) deals with the transformation of semantic representations to well-formed utterances. As speech significantly differs from written documents it is necessary to develop different approaches for its generation than for text. SDS should produce easily understandable, human-like sentences in order to increase the facility of information retrieval as well as the convenience of use for humans. The purpose of this essay is to compare template-based (e.g. GENESIS and GENESIS-II), rule-based, and hybrid linguistic / statistical (e.g. HALogen, Acorn, Communicator, NLG [1 - 4], SPoT and SPaRKy) methods and to highlight their strengths and weaknesses. This evaluation may be helpful when creating new SDS in practice. However, the final decision what algorithm to use depends on the task and the users' needs as well as the time, money, and effort available for the system's development.
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Spoken Language Generation. Algorithms for generating natural Language in Spoken Dialogue Systems (SDS)
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Essay from the year 2007 in the subject English Language and Literature Studies - Linguistics, grade: 1,0 (100%), University of Sheffield, language: English, abstract: This essay describes several algorithms for generating natural language in spoken dialogue systems (SDS). Natural language generation (NLG) deals with the transformation of semantic representations to well-formed utterances. As speech significantly differs from written documents it is necessary to develop different approaches for its generation than for text. SDS should produce easily understandable, human-like sentences in order to increase the facility of information retrieval as well as the convenience of use for humans. The purpose of this essay is to compare template-based (e.g. GENESIS and GENESIS-II), rule-based, and hybrid linguistic / statistical (e.g. HALogen, Acorn, Communicator, NLG [1 - 4], SPoT and SPaRKy) methods and to highlight their strengths and weaknesses. This evaluation may be helpful when creating new SDS in practice. However, the final decision what algorithm to use depends on the task and the users' needs as well as the time, money, and effort available for the system's development. 16 pp. Englisch. Codice articolo 9783668038929
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Spoken Language Generation. Algorithms for generating natural Language in Spoken Dialogue Systems (SDS)
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Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - Essay from the year 2007 in the subject English Language and Literature Studies - Linguistics, grade: 1,0 (100%), University of Sheffield, language: English, abstract: This essay describes several algorithms for generating natural language in spoken dialogue systems (SDS). Natural language generation (NLG) deals with the transformation of semantic representations to well-formed utterances. As speech significantly differs from written documents it is necessary to develop different approaches for its generation than for text. SDS should produce easily understandable, human-like sentences in order to increase the facility of information retrieval as well as the convenience of use for humans. The purpose of this essay is to compare template-based (e.g. GENESIS and GENESIS-II), rule-based, and hybrid linguistic / statistical (e.g. HALogen, Acorn, Communicator, NLG [1 - 4], SPoT and SPaRKy) methods and to highlight their strengths and weaknesses. This evaluation may be helpful when creating new SDS in practice. However, the final decision what algorithm to use depends on the task and the users' needs as well as the time, money, and effort available for the system's development. Codice articolo 9783668038929
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Spoken Language Generation. Algorithms for generating natural Language in Spoken Dialogue Systems (SDS)
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GRIN Verlag, GRIN Verlag Sep 2015, 2015
ISBN 10: 3668038929
ISBN 13: 9783668038929
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Taschenbuch. Condizione: Neu. Neuware -Essay from the year 2007 in the subject English Language and Literature Studies - Linguistics, grade: 1,0 (100%), University of Sheffield, language: English, abstract: This essay describes several algorithms for generating natural language in spoken dialogue systems (SDS).Natural language generation (NLG) deals with the transformation of semantic representations to well-formed utterances.As speech significantly differs from written documents it is necessary to develop different approaches for its generation than for text.SDS should produce easily understandable, human-like sentences in order to increase the facility of information retrieval as well as the convenience of use for humans.The purpose of this essay is to compare template-based (e.g. GENESIS and GENESIS-II), rule-based, and hybrid linguistic / statistical (e.g. HALogen, Acorn, Communicator, NLG [1 ¿ 4], SPoT and SPaRKy) methods and to highlight their strengths and weaknesses.This evaluation may be helpful when creating new SDS in practice.However, the final decision what algorithm to use depends on the task and the users¿ needs as well as the time, money, and effort available for the system¿s development.Books on Demand GmbH, Überseering 33, 22297 Hamburg 16 pp. Englisch. Codice articolo 9783668038929
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Spoken Language Generation. Algorithms for generating natural Language in Spoken Dialogue Systems (SDS)
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Taschenbuch. Condizione: Neu. Spoken Language Generation. Algorithms for generating natural Language in Spoken Dialogue Systems (SDS) | Antje Bothin | Taschenbuch | 16 S. | Englisch | 2015 | GRIN Verlag | EAN 9783668038929 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu Print on Demand. Codice articolo 104218284
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