Automatic natural language generation applied to alternative and augmentative communication for online video content services using SimpleNLG for Spanish

We present our work to build the Spanish version of SimpleNLG by adapting it and creating new code to satisfy the Spanish linguistic requirements. Not only have we developed this version but also we have achieved a library that only needs the main words as input and it is able to conduct the generation process on its own. The adaptation of the library uses aLexiS, a complete and reliable lexicon with morphology that we created. On the other hand, our enhanced version uses Elsa created from the pictogram domain, which also contains syntactic and semantic information needed to conduct the generation process automatically. Both the adaptation and its enhanced version may be useful integrated in several applications as well as web applications, bringing them natural language generation functionalities. We provide a use case of the system focused on Augmentative and Alternative Communication and online video content services.Xunta de Galicia | Ref. GRC2014/046Xunta de Galicia | Ref. ED341D R2016/012Ministerio de Economía, Industria y Competitividad | Ref. TEC2016-76465-C2-2-

A simple surface realization engine for Telugu

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A System for Automatic English Text Expansion

This work was supported in part by the Mineco, Spain, under Grant TEC2016-76465-C2-2-R, in part by the Xunta de Galicia, Spain, under Grant GRC-2018/53 and Grant ED341D R2016/012, and in part by the University of Vigo Travel Grant to visit the CLAN Research Group, University of Aberdeen, U.K.Peer reviewedPublisher PD

A system for automatic English text expansion

We present an automatic text expansion system to generate English sentences, which performs automatic Natural Language Generation (NLG) by combining linguistic rules with statistical approaches. Here, “automatic” means that the system can generate coherent and correct sentences from a minimum set of words. From its inception, the design is modular and adaptable to other languages. This adaptability is one of its greatest advantages. For English, we have created the highly precise aLexiE lexicon with wide coverage, which represents a contribution on its own. We have evaluated the resulting NLG library in an Augmentative and Alternative Communication (AAC) proof of concept, both directly (by regenerating corpus sentences) and manually (from annotations) using a popular corpus in the NLG field. We performed a second analysis by comparing the quality of text expansion in English to Spanish, using an ad-hoc Spanish-English parallel corpus. The system might also be applied to other domains such as report and news generation.Ministerio de Economía, Industria y Competitividad | Ref. TEC2016-76465-C2-2-RXunta de Galicia | Ref. GRC-2018/53Xunta de Galicia | Ref. ED341D R2016/012University of Aberdee

Building a computational lexicon by using SQL

Abstract English. This paper presents some issues about a computational lexicon employed in a generation system for Italian Italiano. Questo lavoro descrive la costruzione di un lessico computazionale per la generazione automatica dell'italian