This paper presents an approach to automatically build a semantic perceptron net (SPN) for
topic spotting. It uses context at the lower layer to select the exact meaning of key words, and …

Human languages have a variety of characteristics. To study the evolution and dynamics of
language using simulation models, it is important to consider which characteristics should …

We apply word sense disambiguation to the definitions in a Spanish explanatory dictionary.
To calculate the scores of word senses basing on the context (which in our case is the …

1 Introduction Sequences of events occur in several applications, such as mobile services
(the requests made by each user), telecommunication network alarm handling, user …

In machine translation, collocation dictionaries are important for selecting accurate target
words. However, if the dictionary size is too large it can decrease the efficiency of translation …

We suggest the method that permits building a set of candidates to be considered semantic
primitives from the standard explanatory dictionary. Our method is based on the frequencies …

Structural analysis of compound words is necessary and an important process in natural
language processing. Proposed here is a corpus-and statistics-based method for the …

Determining the meaning of words in text is an important process in natural language
processing. In this paper, we propose a new method for word sense disambiguation that …