LiLT (Linguistic Issues in Language Technology)

Linguistic Issues in Language Technology (LiLT) is an open-access journal that focusses on relationships between linguistic insights, which can prove valuable to language technology, and language technology, which can enrich linguistic research.The Editorial Board of LiLT believes that, in conjunction with sophisticated computational methods, deeper and more sophisticated models of language and speech are needed to make significant progress in both existing and newly emerging areas of language processing. The Board also believes that the vast quantity of electronically-accessible natural language data (text and speech, annotated and unannotated, formal and informal) provides unprecedented opportunities for data-intensive analysis of linguistic phenomena, which can in turn enrich computational methods. LiLT provides a forum for such work. LiLT takes an eclectic view on methodology.

Volume 1 to 8 of the journal can be found at 

http://journals.linguisticsociety.org/elanguage/lilt/index.html


Announcements

 

LiLT at Stanford

 

LiLT is now hosted at Stanford. For older issues see:

http://journals.linguisticsociety.org/elanguage/lilt/issue/archive.html

 
Posted: 2014-09-09 More...
 
More Announcements...

Vol 14 (2016): Modes of Modality in NLP

Table of Contents

Editorial

 
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Articles

Sai Qian, Philippe de Groote, Maxime Amblard
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Cleo Condoravdi, Robin Cooper
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Ana Marasović, Mengfei Zou, Alexis Palmer, Anette Frank
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Julia Lavid, Maria Carretero, Juan Rafael Zamorano-Mansilla
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Amália Mendes, Iris Hendrickx, Luciana Ávila, Paulo Quaresma, Teresa Gonçalves, Joao Sequeira
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Lori Moon, Patricija Kirvaitis, Noreen Madden
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Koen Hallmann, Florian Kunneman, Christine Liebrecht, Antal van den Bosch, Margot van Mulken
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