BRIDGING THE GAP BETWEEN MACHINE TRANSLATION OUTPUT AND IMAGES IN MULTIMODAL DOCUMENTS

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Autor principal: Thiago Blanch Pires
Formato: Artículo científico
Lenguaje:en
Publicado: Universidade Federal de Santa Catarina 2021
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author Thiago Blanch Pires
author_facet Thiago Blanch Pires
contents BRIDGING THE GAP BETWEEN MACHINE TRANSLATION OUTPUT AND IMAGES IN MULTIMODAL DOCUMENTS Thiago Blanch Pires Augusto Velloso dos Santos Espindola Lengua y Literatura Multimodality Machine Translation Intersemiotic Texture Intersemiotic Mismatches Machine Translation Output Classification The aim of this article is to report on recent findings concerning the use of Google Translate outputs in multimodal contexts. Development and evaluation of machine translation often focus on verbal mode, but accounts by the area on the exploration of text-image relations in multimodal documents translated automatically are rare. Thus, this work seeks to describe just what are such relations and how to describe them. To do so this investigation explores the problem through an interdisciplinary interface, involving Machine Translation and Multimodality to analyze some examples from the Wikihow website; and then it reports on recent investigation on suitable tools and methods to properly annotate these issues from within a long-term purpose to assemble a corpus. Finally, this article provides a discussion on the findings, including some limitations and perspectives for future research. 2021 artículo científico 1414-526X https://www.redalyc.org/articulo.oa?id=731980302005 en http://www.redalyc.org/revista.oa?id=7319 Cadernos de Tradução application/pdf Universidade Federal de Santa Catarina Cadernos de Tradução (Brasil) Num.2 Vol.41
format Artículo científico
id redalyc_731980302005
institution Redalyc
language en
publishDate 2021
publisher Universidade Federal de Santa Catarina
spellingShingle BRIDGING THE GAP BETWEEN MACHINE TRANSLATION OUTPUT AND IMAGES IN MULTIMODAL DOCUMENTS
Thiago Blanch Pires
Lengua y Literatura
Multimodality
Machine Translation
Intersemiotic Texture
Intersemiotic Mismatches
Machine Translation Output Classification
BRIDGING THE GAP BETWEEN MACHINE TRANSLATION OUTPUT AND IMAGES IN MULTIMODAL DOCUMENTS Thiago Blanch Pires Augusto Velloso dos Santos Espindola Lengua y Literatura Multimodality Machine Translation Intersemiotic Texture Intersemiotic Mismatches Machine Translation Output Classification The aim of this article is to report on recent findings concerning the use of Google Translate outputs in multimodal contexts. Development and evaluation of machine translation often focus on verbal mode, but accounts by the area on the exploration of text-image relations in multimodal documents translated automatically are rare. Thus, this work seeks to describe just what are such relations and how to describe them. To do so this investigation explores the problem through an interdisciplinary interface, involving Machine Translation and Multimodality to analyze some examples from the Wikihow website; and then it reports on recent investigation on suitable tools and methods to properly annotate these issues from within a long-term purpose to assemble a corpus. Finally, this article provides a discussion on the findings, including some limitations and perspectives for future research. 2021 artículo científico 1414-526X https://www.redalyc.org/articulo.oa?id=731980302005 en http://www.redalyc.org/revista.oa?id=7319 Cadernos de Tradução application/pdf Universidade Federal de Santa Catarina Cadernos de Tradução (Brasil) Num.2 Vol.41
title BRIDGING THE GAP BETWEEN MACHINE TRANSLATION OUTPUT AND IMAGES IN MULTIMODAL DOCUMENTS
topic Lengua y Literatura
Multimodality
Machine Translation
Intersemiotic Texture
Intersemiotic Mismatches
Machine Translation Output Classification
url https://www.redalyc.org/articulo.oa?id=731980302005