A System for Automatic English Text Expansion
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Abstract (arXiv)
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.
Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 5 of its 76 references that are in the map. First posted on arXiv 28 May 2024.
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References · 5
- 2017Why We Need New Evaluation Metrics for NLGcited by 233
- 2015Semantically Conditioned LSTM-based Natural Language Generation for Spoken Dialogue Systemscited by 134
- 2015What to talk about and how? Selective Generation using LSTMs with Coarse-to-Fine Alignmentcited by 31
- 2014Generating Natural Language Descriptions from OWL Ontologies: the NaturalOWL Systemcited by 5
- 2024A Library for Automatic Natural Language Generation of Spanish Textscited by 2
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