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Language Planning as a Sociolinguistic Experiment

By: Ernst Jahr

Provides richly detailed insight into the uniqueness of the Norwegian language development. Marks the 200th anniversary of the birth of the Norwegian nation following centuries of Danish rule


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Acquiring Phonology: A Cross-Generational Case-Study

By Neil Smith

The study also highlights the constructs of current linguistic theory, arguing for distinctive features and the notion 'onset' and against some of the claims of Optimality Theory and Usage-based accounts.


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Language Production and Interpretation: Linguistics meets Cognition

By Henk Zeevat

The importance of Henk Zeevat's new monograph cannot be overstated. [...] I recommend it to anyone who combines interests in language, logic, and computation [...]. David Beaver, University of Texas at Austin


Academic Paper


Title: A SMS normalization system integrating multiple grammatical resources
Author: JOliva
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.

CUP at LINGUIST

This article appears in Natural Language Engineering Vol. 19, Issue 1, which you can read on Cambridge's site or on LINGUIST .



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