نتایج جستجو برای: classification of verbs

تعداد نتایج: 21188126  

2008
Karin Kipper Anna Korhonen Martha Palmer

Lexical classifications have proved useful in supporting various linguistic and natural language processing (NLP) tasks. The largest verb classification in English is Levin's (1993) work. VerbNet (Kipper-Schuler 2006) the largest computational verb lexicon currently available for English provides detailed syntactic-semantic descriptions of Levin classes. While the classes included are extensive...

2006
Ian C. Chow Jonathan J. Webster

This paper describes the construction of a linguistic knowledge base using Frame Semantics, instantiated with Chinese Verbs imported from the Chinese-English Bilingual Ontological WordNet (BOW). The goal is to use this knowledge base to assist with semantic role labeling. This is accomplished through the mapping of FrameNet and WordNet and a novel verb selection restriction using both the WordN...

Journal: :Journal of child language 2002
Harald Clahsen Fraibet Aveledo Iggy Roca

We present morphological analyses of verb inflections produced by 15 Spanish-speaking children (age range: 1;7 to 4;7) taken from longitudinal and cross-sectional samples of spontaneous speech and narratives. Our main observation is the existence of a dissociation between regular and irregular processes in the distribution of errors: regular suffixes and unmarked (non-alternating) stems are ove...

This study aims to investigate the semantic and syntactic features of verbs used in the introduction section of Applied Linguistics research articles published in Iranian and international journals. A corpus of 20 research article introductions (10 from each journal) was used. The corpus was analysed for the syntactic features (tense, aspect and voice) and semantic meaning of verbs. The finding...

2004
Bart Decadt Walter Daelemans

This paper presents the results of our machine learning experiments in verb classification. Using Beth Levin’s semantic classification of the English verbs as a gold standard, we (i) test the hypothesis that the syntactic behavior of a verb can be used to predict its semantic class, and (ii) investigate whether a robust shallow parser can provide the necessary syntactic information. With 277 ve...

2016
Lucia Busso Alessandro Lenci

This paper proposes a new method for Italian verb classification -and a preliminary example of resulting classesinspired by Levin (1993) and VerbNet (Kipper-Schuler, 2005), yet partially independent from these resources; we achieved such a result by integrating Levin and VerbNet’s models of classification with other theoretic frameworks and resources. The classification is rooted in the constru...

Journal: :Trends in cognitive sciences 2003
Steven Pinker Michael T. Ullman

study, taking truly independent ratings to see which verbs participants considered to be denominal or deverbal (i.e. exocentric or not). The results of this new experiment were clear. The semantic similarity (or otherwise) of verbs-incontext to ordinary irregular usage predicted the acceptability of past-tense forms. Whether or not verbs were perceived to be exocentric was irrelevant to this. I...

Journal: :international journal of foreign language teaching and research 0
abdollah mohsenzadeh department of english, sepidan branch, islamic azad university, sepidan, iran seyed foad ebrahimi english department, shadegan branch, islamic azad university, shadegan, iran

this study aims to investigate the semantic and syntactic features of verbs used in the introduction section of applied linguistics research articles published in iranian and international journals. a corpus of 20 research article introductions (10 from each journal) was used. the corpus was analysed for the syntactic features (tense, aspect and voice) and semantic meaning of verbs. the finding...

Journal: :CoRR 1998
Judith L. Klavans Min-Yen Kan

We present results of two methods for assessing the event profile of news articles as a function of verb type. The unique contribution of this research is the focus on the role of verbs, rather than nouns. Two algorithms are presented and evaluated, one of which is shown to accurately discriminate documents by type and semantic properties, i.e. the event profile. The initial method, using WordN...

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