I present a method of identifying cognates in the vocabularies of related languages. I show that a measure of phonetic similarity based on multivalued features performs better than “orthographic” measures, such as the Longest Common Subsequence Ratio (LCSR) or Dice’s coefficient. I introduce a procedure for estimating semantic similarity of glosses that employs keyword selection and WordNet. Te...

TempoWordNet (TWn) has recently been proposed as an extension of WordNet, where each synset is augmented with its temporal connotation: past, present, future or atemporal. However, recent uses of TWn show contrastive results and motivate the construction of a more reliable resource. For that purpose, we propose an iterative strategy that temporally extends glosses based on TWn to obtain a poten...

This paper studies the application of text similarity methods to disambiguate ambiguous links between WordNet nouns and Wikipedia categories. The methods range from word overlap between glosses, random projections, WordNetbased similarity, and a full-fledged textual entailment system. Both unsupervised and supervised combinations have been tried. The goldstandard with disambiguated links is pub...

different studies in writing skill of second language learners show that they are weak in this skill. they know some vocabularies and grammatical rules but are unable to write a different kinds of texts. the study of contrastive rhetorics can help learners and teachers in this area. moreover, discourse markers that indicate rhetoric styles and principles have an important role in writing skill....

Morphological processes in a language can be effectively used to enrich individual wordnets with semantic relations. More importantly, morphological processes in a language can be used to discover less explicit semantic relations in other languages. This will both improve the internal connectivity of individual wordnets and also the overlap across different wordnets. Using morphology to improve...

We present a new minimally-supervised framework for performing domain-driven Word Sense Disambiguation (WSD). Glossaries for several domains are iteratively acquired from the Web by means of a bootstrapping technique. The acquired glosses are then used as the sense inventory for fullyunsupervised domain WSD. Our experiments, on new and gold-standard datasets, show that our wide-coverage framewo...

This paper describes the system MC-WSD presented for the English Lexical Sample task. The system is based on a multicomponent architecture. It consists of one classifier with two components. One is trained on the data provided for the task. The second is trained on this data and, additionally, on an external training set extracted from the Wordnet glosses. The goal of the additional component i...

eValency Lexicon of Czech Verbs (VALLEX 2.0) is a collection of linguistically annotated data and documentation. It provides information on the valency structure of verbs in their particular meanings / senses, possible morphological forms of their complementations and additional syntactic information, accompanied with glosses and examples. e primary goal of the following text is to briefly de...