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Back Ferrés D., Marimon M., Saggion H., AbuRa'ed A. YATS: Yet Another Text Simplifier. Natural Language Processing and Information Systems. 21st International Conference on Applications of Natural Language to Information Systems, NLDB 2016

Ferrés D., Marimon M., Saggion H., AbuRa'ed A. YATS: Yet Another Text Simplifier. Natural Language Processing and Information Systems. 21st International Conference on Applications of Natural Language to Information Systems, NLDB 2016

We present a text simplifier for English that has been built with open source software and has both lexical and syntactic simplification capabilities. The lexical simplifier uses a vector space model approach to obtain the most appropriate sense of a given word in a given context and word frequency simplicity measures to rank synonyms. The syntactic simplifier uses linguistically-motivated rule-based syntactic analysis and generation techniques that rely on part-of-speech tags and syntactic dependency information. Experimental results show good performance of the lexical simplification component when compared to a hard-to-beat baseline, good syntactic simplification accuracy, and according to human assessment, improvements over the best reported results in the literature for a system with same architecture as YATS.

Additional material:

. Page of the publication with additional details

Link: http://link.springer.com/chapter/10.1007%2F978-3-319-41754-7_32