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dc.contributor.authorGutiérrez Artacho, Juncal 
dc.contributor.authorOlvera Lobo, María Dolores 
dc.contributor.authorRivera Trigueros, Irene 
dc.date.accessioned2021-07-16T07:05:42Z
dc.date.available2021-07-16T07:05:42Z
dc.date.issued2019
dc.identifier.citationGutiérrez-Artacho, J., Olvera-Lobo, M.-D., & Rivera-Trigueros, I. (2019). Hybrid Machine Translation Oriented to Cross-Language Information Retrieval: English-Spanish Error Analysis. En New Knowledge in Information Systems and Technologies (pp. 185-194). Springer International Publishing. https://doi.org/10.1007/978-3-030-16181-1_18es_ES
dc.identifier.urihttp://hdl.handle.net/10481/69730
dc.description.abstractABSTRACT: The main objective of this study focuses on analysing the automatic translation of questions (intended as query inputs to a Cross-Language Information Retrieval System) and on the creation of a taxonomy of translation errors present in hybrid machine translation (HMT) systems. An analysis of translations by HMT systems was carried out. From these, there is a proposal of a type 1, 2 or 3 error taxonomy weighted according to their level of importance. Results indicate that post-editing is an essential task in the automatic translation process.es_ES
dc.language.isoenges_ES
dc.publisherSpringer International Publishinges_ES
dc.rightsAtribución-NoComercial-SinDerivadas 3.0 España*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/*
dc.subjectCross-language information retrievales_ES
dc.subjectHybrid machine translation systemses_ES
dc.subjectTranslation errorses_ES
dc.subjectPost-editinges_ES
dc.titleHybrid Machine Translation Oriented to Cross-Language Information Retrieval: English-Spanish Error Analysises_ES
dc.typeinfo:eu-repo/semantics/bookPartes_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES
dc.identifier.doihttps://doi.org/10.1007/978-3-030-16181-1_18


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