Latest trends in hybrid machine translation and its applications

•Overview of hybrid machine translation guided by the rule-based paradigm.•Overview of hybrid machine translation guided by the corpus-based paradigm.•Review of works on machine translation applications with hybrid components. This survey on hybrid machine translation (MT) is motivated by the fact t...

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Veröffentlicht in:Computer speech & language Jg. 32; H. 1; S. 3 - 10
Hauptverfasser: Costa-jussà, Marta R., Fonollosa, José A.R.
Format: Journal Article Verlag
Sprache:Englisch
Veröffentlicht: Elsevier Ltd 01.07.2015
Elsevier
Schlagworte:
Applications
Architecture
Categories
Corpus
Enginyeria de la telecomunicació
Hybridization
Machine translation
Processament de la parla
Processament de la parla i del senyal acústic
Processament del senyal
Rules
Speech
Speech processing systems
Trends
Àrees temàtiques de la UPC
99-00
00-01
Applications
Hybridization
Machine translation
Rules
Corpus
ISSN:0885-2308, 1095-8363
Online-Zugang:Volltext
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Zusammenfassung:•Overview of hybrid machine translation guided by the rule-based paradigm.•Overview of hybrid machine translation guided by the corpus-based paradigm.•Review of works on machine translation applications with hybrid components. This survey on hybrid machine translation (MT) is motivated by the fact that hybridization techniques have become popular as they attempt to combine the best characteristics of highly advanced pure rule or corpus-based MT approaches. Existing research typically covers either simple or more complex architectures guided by either rule or corpus-based approaches. The goal is to combine the best properties of each type. This survey provides a detailed overview of the modification of the standard rule-based architecture to include statistical knowledge, the introduction of rules in corpus-based approaches, and the hybridization of approaches within this last single category. The principal aim here is to cover the leading research and progress in this field of MT and in several related applications.
Bibliographie:ObjectType-Article-1
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ISSN:0885-2308
1095-8363
DOI:10.1016/j.csl.2014.11.001