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Dynamic verbs in the Wordnet of PolishThe paper presents patterns of co-occurrences of wordnet relations involving verb lexical units in plWordNet - a large wordnet of Polish. The discovered patterns reveal tendencies of selected synset and lexical relations to form regular circular structures of clear semantic meanings. They involve several types of relations, e.g., presupposition, cause, processuality...
A limiting factor in construction of Natural Language Processing (NLP) systems is often the availability of morphological resources. This indeed happens for Polish: the freely available corpus with manual morpho-syntactic annotation (part of the IPI PAN Corpus) is not coupled with any free morphological analyser. There exists a very large morphological dictionary of Polish available under a free licence...
The paper gives an overview of research devoted to developing a semi-automatic methodology of building a semantic model of medical diagnostic knowledge. The methodology can serve multiple purposes. First of all it can be a foundation for building ontologies of diseases. The same methodology can also be used for building ontologies of medical diagnostic technologies. The semantic model is applied because...
In this paper we discuss the problem of building the Polish lexicon for the Cyc ontology. As the ontology is very large and complex we describe semi-automatic translation of part of it, which might be useful for tasks lying on the border between the fields of Semantic Web and Natural Language Processing. We concentrate on precise identification of lexemes, which is crucial for tasks such as natural...
Word Sense Disambiguation in text is still a difficult problem as the best supervised methods require laborious and costly manual preparation of training data. On the other hand, the unsupervised methods express significantly lower accuracy and produce results that are not satisfying for many application. The goal of this work is to develop a model of Word Sense Disambiguation which minimises the...
A speech recognition system based on HTK for Polish is presented. It was trained on 365 utterances, all spoken by 26 males. The features of Polish with respect to speech recognition are described. Some aspects of speech recognition differ in comparison to English. Errors in recognition were analysed in details in an attempt to find reasons and scenarios of wrong recognitions.
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