The present study investigated Japanese lexical and syntactic compound verbs (V1þV2) using Shannon’s concept of entropy and redundancy calculated using corpora from the Mainichi Newspaper and a collection of selected novels. Comparing combinations of a V2 verb with various V1 verbs, syntactic compounds were higher in entropy than lexical ones while neither differed in redundancy. This result su...

The article is an attempt at prototypical analysis of English verbs true information by creating situations and identifying propositions from the definitions verbs. In our study, a situation understood as cognitive model typical based on word definition. During definitional verbs, presuppositions were also distinguished. examined 22 information.

Action verbs are one of the frequently occurring linguistic elements in any given natural language as the speakers use them during every linguistic intercourse. However, each language expresses action verbs in its own inherently unique manner by categorization. One verb can refer to several interpretations of actions and one action can be expressed by more than one verb. The inter-language and ...

We conduct a cross-modal priming experiment to determine the mental representation and access strategies for compound verbs (CV) in Bangla. Analysis of reaction time indicates that compositionality among CVs triggers priming effects for both the constituent verbs. On the other hand non-compositional CVs exhibit priming only for the polar verb. Thus, compositional CVs are decomposed into their c...

In this paper we present a profile of verb usage across ages in child-produced sentences in English and Portuguese. We examine in particular lexical and syntactic characteristics of verbs and find common trends in these languages as children’s ages increase, such as the prominence of general and polysemic verbs, as well as divergences such as the proportion of subject dropping. We also find a c...

We address the problem of identifying multiword expressions in a language, focusing on English phrasal verbs. Our polyglot ranking approach integrates frequency statistics from translated corpora in 50 different languages. Our experimental evaluation demonstrates that combining statistical evidence from many parallel corpora using a novel ranking-oriented boosting algorithm produces a comprehen...

We propose the use of multilingual corpora in the automatic classi cation of verbs. We extend the work of (Merlo and Stevenson, 2001), in which statistics over simple syntactic features extracted from textual corpora were used to train an automatic classi er for three lexical semantic classes of English verbs. We hypothesize that some lexical semantic features that are di cult to detect super c...

We demonstrate the beneets of a multilingual approach to automatic lexical semantic verb classiication based on statistical analysis of corpora in multiple languages. Our research incorporates two interrelated threads. In one, we exploit the similarities in the crosslinguis-tic classiication of verbs, to extend work on English verb classiication to a new language (Italian), and to new classes w...

Lexical classifications have proved useful in supporting various natural language processing (NLP) tasks. The largest verb classification for English is Levin’s (1993) work which defined groupings of verbs based on syntactic and semantic properties. VerbNet (Kipper et al., 2000; Kipper-Schuler, 2005) – the largest computational verb lexicon currently available for English – provides detailed sy...