Contemporary issues and trends in computational linguistics.

2014. №1, 120-145

Svetlana Ju. Toldova a, b, @, Ol’ga N. L’aševskaja a, c
a National Research University «Higher School of Economics», Moscow, 101000, Russia;
b Lomonosov Moscow State University, Moscow, 119991, Russia;
c Vinogradov Institute of the Russian Language, Russian Academy of Sciences, Moscow, 119019, Russia;


This paper is an overview of the current issues and tendencies in computational linguistics. The overview is based on the materials of the conference on computational linguistics COLING 2012. The modern approaches to the traditional NLP domains such as postagging, syntactic parsing, machine translation are discussed. The highlight of automated information extraction, such as fact extraction, opinion mining are also in focus. The main tendency of modern technologies in computational linguistics is to accumulate the higher level of linguistic analysis (discourse analysis, cognitive modeling) in the models and to combine machine learning technologies with the algorithmic methods based on deep expert linguistic knowledge.