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It's Been Said Before

By Orin Hargraves

It's Been Said Before "examines why certain phrases become clichés and why they should be avoided -- or why they still have life left in them."

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Sounds Fascinating

By J. C. Wells

How do you pronounce biopic, synod, and Breughel? - and why? Do our cake and archaic sound the same? Where does the stress go in stalagmite? What's odd about the word epergne? As a finale, the author writes a letter to his 16-year-old self.

Academic Paper

Title: A SMS normalization system integrating multiple grammatical resources
Author: J Oliva
Institution: Consejo Superior de Investigaciones Científicas
Author: J. I. Serrano
Institution: Consejo Superior de Investigaciones Científicas
Author: M. D. Del Castillo
Institution: Consejo Superior de Investigaciones Científicas
Author: Á. Igesias
Institution: Consejo Superior de Investigaciones Científicas
Linguistic Field: Computational Linguistics; Text/Corpus Linguistics
Subject Language: Spanish
Abstract: SMS language presents special phenomena and important deviations from natural language. Every day, an impressive amount of chat messages, SMS messages, and e-mails are sent all over the world. This widespread use makes important the development of systems that normalize SMS language into natural language. However, typical machine translation approaches are difficult to adapt to SMS language because of many irregularities that are shown by this kind of language. This paper presents a new approach for SMS normalization that combines lexical and phonological translation techniques with disambiguation algorithms at two different levels: lexical and semantic. The method proposed does not depend on big annotated corpus, which is difficult to build and is applied in two different domains showing its easiness of adaptation across different languages and domains. The results obtained by the system outperform some of the existing methods of SMS normalization despite the fact that the Spanish language and the corpus created have some features that complicate the normalization task.


This article appears IN Natural Language Engineering Vol. 19, Issue 1.

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