  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.
