Due to the importance that verbs have in language an identification of their actants (obligatory complements) is important for understanding of the meaning of sentences. Usually, the solution of this problem in natural language processing is based on machine learning approaches, which are trained on large sets of tagged texts. We show that it is possible to work with other kind of sources, i.e....

In this study, a dictionary-based method is used to extract expressive concepts from documents. So far, there have been many studies concerning concept mining in English, but this area of study for Turkish, an agglutinative language, is still immature. We used dictionary instead of WordNet, a lexical database grouping words into synsets that is widely used for concept extraction. The dictionari...

In this paper we propose a solution for the representation of a wide range of multiword expressions1 (lexicalized or not) in the Basque WordNet. We first argue in favor of including non-lexicalized multiword expressions, and propose very simple criteria based on existing dictionaries to mark those that are lexicalized from those that are not. We then motivate and propose a representation based ...

The study reveals ways to identify and describe the psycholinguistic meanings of lexical units (on example toponym "Vladikavkaz"). Psycholinguistic meaning is one types along with traditional type such as lexicographic meaning. consists a small set logically meaningful features that reflect described phenomenon. presented in classical explanatory dictionaries. It formulated on basis principle r...

Many lexical databases are modelled simply as digital version of paper dictionaries. However, for many purposes the demands on a lexical database are different from those on a dictionary database. Therefore, the MorDebe database system deviates from the design of dictionary databases in a number of important ways. Firstly, it puts different restrictions on the inclusion of words due to its less...

Hierarchy building from dictionaries and free texts is often viewed as an application of NLP for domain modeling. The reversal (i.e. building and using such hierarchy for Word Sense Disambiguation) is also definitively useful in NLP. Indeed, we do observe that, even in very specialized texts, polysemous terms as well as blurring linguistic phenomena like metonymy or metaphor are frequent. Conce...

Dictionaries and ontologies are very important resources not only for linguistic research and applications but also for other areas dealing with knowledge. In general, however, they fall short of our expectations. One reason for this under-expectation is that their basic units are not well-established. Dictionary head words have to be words rather than affixes or phrases. The meaning of a (head...

“Contextual” vocabulary acquisition is the active, deliberate acquisition of a meaning for a word in a text by reasoning from textual clues and prior knowledge, including language knowledge and hypotheses developed from prior encounters with the word, but without external sources of help such as dictionaries or people. But what is “context”? Is it just the surrounding text? Does it include the ...

Linguistic resources for Polish are often missing multiword expressions (MWEs) – idioms, compound nouns and other expressions which have their own distinct meaning as a whole. This paper describes an effort to extract and recognize nominal MWEs in Polish text using Wikipedia, inflection dictionaries and finite-state automata. Wikipedia is used as a lexicon of MWEs and as a corpus annotated with...