Linguistic Issues in Language Technology

Linguistic Issues in Language Technology (LiLT) is a new 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 machine learning and statistical techniques, deeper and more sophisticated models of language and speech are needed to make significant progress in newly emerging areas of computational language analysis. LiLT provides a forum for such work. LiLT takes an eclectic view on methodology. Submissions should be sent electronically to Annie Zaenen (azaenen@earthlink.net). LiLT is hosted externally by CSLI Publications: http://csli-publications.stanford.edu/LiLT/index.html

Vol 8 (2012)

Table of Contents

Articles

Learning to Classify Documents According to Formal and Informal Style PDF
Fadi Abu Sheikha, Diana Inkpen
Weakly-supervised Appraisal Analysis PDF
Jonathon Read, John Carroll