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N-gram-based Machine Translation

\(N\)-gram-based machine translation
Authors: Mariño Acebal, José Bernardo; Banchs Martínez, Rafael Enrique; Crego Clemente, Josep Maria; Gispert Brosa, Adrian de; Lambert, Patrik; Rodríguez Fonollosa, José Adrián; Ruiz Costa-Jussà, Marta;

N-gram-based Machine Translation

Abstract

This article describes in detail an n-gram approach to statistical machine translation. This approach consists of a log-linear combination of a translation model based on n-grams of bilingual units, which are referred to as tuples, along with four specific feature functions. Translation performance, which happens to be in the state of the art, is demonstrated with Spanish-to-English and English-to-Spanish translations of the European Parliament Plenary Sessions (EPPS).

Country
Spain
Keywords

N-gram, Natural language processing, Computational linguistics, Language translation, Natural languages, Spanish-to-English translations, :68 Computer science::68T Artificial intelligence [Classificació AMS], Classificació AMS::68 Computer science::68T Artificial intelligence, Log-linear translation model combination, Statistical analysis, European Parliament plenary sessions, Traducció automàtica, Computational linguistics. Natural language processing, Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Processament del senyal::Processament de la parla i del senyal acústic, :Enginyeria de la telecomunicació::Processament del senyal::Processament de la parla i del senyal acústic [Àrees temàtiques de la UPC], P98-98.5, Machine translation, Àrees temàtiques de la UPC::Informàtica::Intel·ligència artificial::Llenguatge natural, :Informàtica::Intel·ligència artificial::Llenguatge natural [Àrees temàtiques de la UPC], Machine translating

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
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89
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82
72
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