Lately, with the success of Deep Learning techniques in some computational linguistics tasks, many researchers want to explore new models for their linguistics applications. These models tend to be very different from what standard Neural Networks look like, limiting the possibility to use standard Neural Networks frameworks. This work presents NNBlocks, a new framework written in Python to bui...

I was President in 1968, the year during which the Association for Machine Translation and Computational Linguistics became the Association for Computational Linguistics. Names always create controversy, and the founding name, selected in 1962, was chosen in competition with others, not the least of which was the one that subsequently replaced it. In fact, a change of name to the Association fo...

Bibliography 55 Introduction Algorithms for Linguistic Processing is a research proposal in the area of computational linguistics. The proposal focuses on problems of ambiguity and processing efficiency by investigating grammar approximation and grammar specialization techniques. In this section we will try to explain for a broader audience what computational linguistics is, and what the curren...

In this paper, we overview the ways in which computational methods can serve the goals of analysis and theory development in linguistics, and encourage the reader to become involved in the emerging cyberinfrastructure for linguistics. We survey examples from diverse subfields of how computational methods are already being used, describe the current state of the art in cyberinfrastructure for li...

NACLO (North American Computational Linguistics Olympiad) is an annual Olympiad-style contest for high school students, focusing on linguistics, computational linguistics, and language technologies. The goal of NACLO is to increase participation in these fields by introducing them before students reach college. Since these subjects are not normally taught in high school, we do not expect studen...

Even now techniques are in common use in computational linguistics which could lead to important advances in pure linguistics, especially language acquisition and the study of language variation, if they were applied with intelligence and persistence. Reliable techniques for assaying similarities and differences among linguistic varieties are useful not only in dialectology and sociolinguistics...

1. The position of Computational Linguistics Computational Linguistics has a long history, dating back to the Fifties, during which it developed a whole set of computational models and implementations, theories, methodologies and applications. It is difficult to give a sensible account of its present state without going back a little to the main steps through which this discipline evolved towar...

Of the various subdisciplines in Artificial Intelligence, only a few have matured to the state that practical application seems imminent. Of these, computational linguistics appears to be a leading contender for real world applications in the immediate future. One area of special interest to the Naval Research Laboratory (NRL) is the application of computational linguistics in automated message...