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 CNL...

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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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author Sebastián León Calderón
author_facet Sebastián León Calderón
author_sort Sebastián León Calderón
collection DOAJ
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.
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spelling doaj.art-f9baa8371f0b419d8b4a7f4a1db987882022-12-21T21:17:12ZengUniversidad 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 RicaThis 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
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
title 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_short Building a Controlled Natural Language Framework for Real-time Machine Translation
title_sort building a controlled natural language framework for real time machine translation
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