Building a Controlled Natural Language Framework for Real-time Machine Translation

This study presents a framework that addresses the need for real-time communication between persons without a common language through the use of Controlled Natural Languages (CNLs). The framework consists of a set of CNLs (initially based on English and Spanish) where text compliant with any one CN...

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Main Author: Sebastián León Calderón
Format: Article
Language:English
Published: Universidad de Costa Rica 2015-12-01
Series:Revista de Lenguas Modernas
Subjects:
Online Access:https://revistas.ucr.ac.cr/index.php/rlm/article/view/22362
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spelling doaj-f9baa8371f0b419d8b4a7f4a1db987882020-11-25T02:54:35ZengUniversidad de Costa RicaRevista de Lenguas Modernas1659-19332215-56432015-12-012310.15517/rlm.v0i23.22362Building a Controlled Natural Language Framework for Real-time Machine TranslationSebastián León Calderón0Intel, Costa Rica This study presents a framework that addresses the need for real-time communication between persons without a common language through the use of Controlled Natural Languages (CNLs). The framework consists of a set of CNLs (initially based on English and Spanish) where text compliant with any one CNL is mapped to an internal, unambiguous, language-in- dependent representation which, in turn, is automatically translated into valid text in a target natural language that not only retains the meaning of the original text but also appears natural to native speakers. In addition, the study proposes a software system similar to modern instant messaging clients to effectively facilitate said communication.  https://revistas.ucr.ac.cr/index.php/rlm/article/view/22362controlled natural languagemachine translationGrammatical Frameworkinstant messagingnatural language processing
collection DOAJ
language English
format Article
sources DOAJ
author Sebastián León Calderón
spellingShingle Sebastián León Calderón
Building a Controlled Natural Language Framework for Real-time Machine Translation
Revista de Lenguas Modernas
controlled natural language
machine translation
Grammatical Framework
instant messaging
natural language processing
author_facet Sebastián León Calderón
author_sort Sebastián León Calderón
title Building a Controlled Natural Language Framework for Real-time Machine Translation
title_short Building a Controlled Natural Language Framework for Real-time Machine Translation
title_full Building a Controlled Natural Language Framework for Real-time Machine Translation
title_fullStr Building a Controlled Natural Language Framework for Real-time Machine Translation
title_full_unstemmed Building a Controlled Natural Language Framework for Real-time Machine Translation
title_sort building a controlled natural language framework for real-time machine translation
publisher Universidad de Costa Rica
series Revista de Lenguas Modernas
issn 1659-1933
2215-5643
publishDate 2015-12-01
description This study presents a framework that addresses the need for real-time communication between persons without a common language through the use of Controlled Natural Languages (CNLs). The framework consists of a set of CNLs (initially based on English and Spanish) where text compliant with any one CNL is mapped to an internal, unambiguous, language-in- dependent representation which, in turn, is automatically translated into valid text in a target natural language that not only retains the meaning of the original text but also appears natural to native speakers. In addition, the study proposes a software system similar to modern instant messaging clients to effectively facilitate said communication. 
topic controlled natural language
machine translation
Grammatical Framework
instant messaging
natural language processing
url https://revistas.ucr.ac.cr/index.php/rlm/article/view/22362
work_keys_str_mv AT sebastianleoncalderon buildingacontrollednaturallanguageframeworkforrealtimemachinetranslation
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