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



LiLT at Stanford


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

Posted: 2014-09-09 More...
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Vol 14 (2016): Modes of Modality in NLP

Table of Contents




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