A Library for Automatic Natural Language Generation of Spanish Texts

TL;DR

This paper introduces a fully automatic Spanish natural language generation system that creates coherent sentences from minimal input words, leveraging knowledge-based and statistical methods, and adaptable for various applications.

Contribution

It presents a novel, fully automatic NLG system for Spanish that integrates knowledge-based and statistical approaches, with a new Spanish lexicon and adaptable design.

Findings

System generates coherent, correctly spelled sentences from minimal input.

Evaluations show high accuracy and linguistic quality.

System is adaptable to other languages and applications.

Abstract

In this article we present a novel system for natural language generation (NLG) of Spanish sentences from a minimum set of meaningful words (such as nouns, verbs and adjectives) which, unlike other state-of-the-art solutions, performs the NLG task in a fully automatic way, exploiting both knowledge-based and statistical approaches. Relying on its linguistic knowledge of vocabulary and grammar, the system is able to generate complete, coherent and correctly spelled sentences from the main word sets presented by the user. The system, which was designed to be integrable, portable and efficient, can be easily adapted to other languages by design and can feasibly be integrated in a wide range of digital devices. During its development we also created a supplementary lexicon for Spanish, aLexiS, with wide coverage and high precision, as well as syntactic trees from a freely available definite-clause grammar. The resulting NLG library has been evaluated both automatically and manually (annotation). The system can potentially be used in different application domains such as augmentative communication and automatic generation of administrative reports or news.