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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Autor Principal: León Calderón, Sebastián
Formato: Artículo
Idioma: Inglés
Publicado: Escuela de Lenguas Modernas, Universidad de Costa Rica 2015
Materias:
Acceso en línea: http://revistas.ucr.ac.cr/index.php/rlm/article/view/22362
http://hdl.handle.net/10669/23496
Sumario: 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.