A System for Automatic English Text Expansion

Abstract

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.

Entertainment Chatbot for the Digital Inclusion of Elderly People Without Abstraction Capabilities

“…NLG applications include automatic question generation [41], summaries [42] and text simplification [43], and their possibilities have multiplied thanks to Machine Learning. In particular, automatic text generation (whose only required inputs are meaningful words such as nouns, verbs and adjectives) has attracted great attention [44].…”

“…To prevent frustration the chatbot must provide flexible responses instead of repeatedly resorting to clauses such as 'Sorry, I didn't understand you' [38]. Some degree of chatbot personality is crucial for motivating user engagement [44].…”