Where the field has been and where it is going? It is relatively easy to know where we have been, but harder (and more valuable) to know where we are going. The title of this paper, borrowed from Hull, Jurafsky and Martin (2008), suggests that applications have become more important, and that industrial laboratories will become increasingly prestigious. 1 Rise of Statistical Methods Some trends...

The papers in this collection are all devoted to single theme: logic and its applications in computational linguistics. They share many themes, goals and techniques, and any editorial classification is bound to highlight some connections at the expense of other. Nonetheless, we have found it useful to divide these papers (somewhat arbitrarily) into the following four categories: logical semanti...

This paper will discuss several computational tools for creating a stemma of Avestan manuscripts, such as: a letter similarity matrix, a morphological expander, and co-occurrence networks. After a short introduction to Avestan and Avestan manuscripts and a representation of Avestan peculiarities concerning the creation of stemmata, the operatability of the above-mentioned tools for this text co...

The CoNLL-2010 Shared Task was dedicated to the detection of uncertainty cues and their linguistic scope in natural language texts. The motivation behind this task was that distinguishing factual and uncertain information in texts is of essential importance in information extraction. This paper provides a general overview of the shared task, including the annotation protocols of the training an...

This paper aims to bring a general overview on the situation of Computational Linguistics in Costa Rica, particularly in the academic world.

In the anusaaraka systems, the load between the human reader and the machine is divided as follows: language-based analysis of the text is carried out by the machine, and knowledge-based analysis or interpretation is left to the reader. The machine uses a dictionary and grammar rules, to produce the output. Most importantly, it does not use world knowledge to interpret (or disambiguate), as it ...

This paper describes a hybrid model that combines a rule-based model with two statistical models for the task of POS guessing of Chinese unknown words. The rule-based model is sensitive to the type, length, and internal structure of unknown words, and the two statistical models utilize contextual information and the likelihood for a character to appear in a particular position of words of a par...

This paper discusses some of the ways that the “statistical revolution” has changed and continues to change the relationship between linguistics and computational linguistics. I claim that it is more useful in parsing to make an open world assumption about possible linguistic structures, rather than the closed world assumption usually made in grammar-based approaches to parsing, and I sketch tw...

Microsyntactic linguistic units, such as syntactic idioms and non-standard syntactic constructions, are poorly represented in linguistic resources, mostly because the former are elements occupying an intermediate position between the lexicon and the grammar and the latter are too specific to be routinely tackled by general grammars. Consequently, many such units produce substantial gaps in syst...