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.
|Number of pages||14|
|Early online date||26 Aug 2019|
|Publication status||Published - Dec 2019|
- Heuristic algorithms
- Augmentative and Alternative Communication
- Natural Language Generation
- sentence planning
- surface realiser
- text expansion
FingerprintDive into the research topics of 'A System for Automatic English Text Expansion'. Together they form a unique fingerprint.
- Computational Linguistics at Aberdeen
- School of Natural & Computing Sciences, Computing Science - Chair in Computing Science.