Lexeme derivation and multi-word predicates in Hungarian

Complex Predicates are Multi-Word Expressions

Practitioners of English Natural Language Processing often feel fortunate because their tokens are clearly marked by spaces on either side. However, the spaces can be quite deceptive, since they ignore the boundaries of multi-word expressions, such as noun-noun compounds, verb particle constructions, light verb constructions and constructions from Construction Grammar, e.g., caused-motion const...

Lexical Inference over Multi-Word Predicates: A Distributional Approach

Representing predicates in terms of their argument distribution is common practice in NLP. Multi-word predicates (MWPs) in this context are often either disregarded or considered as fixed expressions. The latter treatment is unsatisfactory in two ways: (1) identifying MWPs is notoriously difficult, (2) MWPs show varying degrees of compositionality and could benefit from taking into account the ...

Methods for the Extraction of Hungarian Multi-Word Lexemes

This paper describes an experiment on extracting Hungarian multi-word lexemes from a corpus, using statistical methods. Corpus preparation—the addition of POS tags and stems—was done automatically. From the corpus, 〈verb+noun+casemark〉 patterns were extracted as collocation candidates. Evaluation shows that the statistical methods used by Villada Moirón (2004a) to identify Dutch V + PP collocat...

Hungarian Word-Sense Disambiguated Corpus

To create the first Hungarian WSD corpus, 39 suitable word form samples were selected for the purpose of word sense disambiguation. Among others, selection criteria required the given word form to be frequent in Hungarian language usage (frequency rates available in the Hungarian National Corpus (HNC) were used for measurement (Váradi, 2000)), and to have more than one sense considered frequent...

Word final consonant extrametricality in Hungarian