Natural Language Generation

Abstract

<p>Communication via a natural language requires two fundamental skills: producing ‘text’ (written or spoken) and understanding it. This chapter introduces newcomers to computational approaches to the former—natural language generation (henceforth NLG)—showing some of the theoretical and practical problems that linguists, computer scientists, and psychologists encounter when trying to explain how language production works in machines or in our minds. The chapter first defines and illustrates the abstract components of the NLG task and their distinctive roles in accounting for the coherence and appropriateness of natural texts and then sets out the principal methods that have been developed in the field for building working computational systems. Current problems, new proposals for solutions and potential applications are also briefly characterized.</p>

Language Generation from DB Query

“…control of choosing among the provided alternatives of generated text (Bateman and Zock, 2003), we have found the possibility of using the NooJ linguistic environment coupled with Angular JavaScript Framework as the workable option for our domain scenario.…”

“…to build systems that can produce a set of appropriate forms and choose the right context-dependent one (Jurafsky and Martin, 2000;Bateman and Zock, 2003;Perera and Nand, 2017;Gatt and Krahmer, 2017). In this paper we will present one such project that maps non-linguistic source into the linguistic form as described in Bateman and Zock (2003).…”

Proceedings of the Linguistic Resources for Automatic Natural Language Generation - LiRA@NLG

“…Since its early beginnings in the 1950's, we have made big steps trying to make language generation more adaptable to context i.e. to build systems that can produce a set of appropriate forms and choose the right context-dependent one (Jurafsky and Martin, 2000;Bateman and Zock, 2003;Perera and Nand, 2017;Gatt and Krahmer, 2017). In this paper we will present one such project that maps non-linguistic source into the linguistic form as described in Bateman and Zock (2003).…”

La generacion de lenguaje natural: análisis del estado actual

“…o los patrones acústicos en el caso de que la salida final del mensaje sea oral. Uno de los mayores desafíos de la GLN es la construcción de arquitecturas en las que se puedan tomar todas estas decisiones de manera que sea temporalmente abordable la producción de textos, ya sea en formato de texto o audio [4].…”