نتایج جستجو برای: verb

تعداد نتایج: 9518  

2015
Javier Aguado-Orea Julian M. Pine

How children acquire knowledge of verb inflection is a long-standing question in language acquisition research. In the present study, we test the predictions of some current constructivist and generativist accounts of the development of verb inflection by focusing on data from two Spanish-speaking children between the ages of 2;0 and 2;6. The constructivist claim that children's early knowledge...

2005
Robert C. Gardner

This talk discusses integrative motivation from the perspective of the socio-educational model of second language acquisition, and will focus on six topics. The first concerns the concept of motivation which can be shown to comprise at least 10 cognitive, affective and conative components. The second topic is the socio-educational model of second language acquisition. It is presented in two for...

2015
Petar S. Aleksic Mohammadreza Ghodsi Assaf Hurwitz Michaely Cyril Allauzen Keith B. Hall Brian Roark David Rybach Pedro J. Moreno

In automatic speech recognition on mobile devices, very often what a user says strongly depends on the particular context he or she is in. The n-grams relevant to the context are often not known in advance. The context can depend on, for example, particular dialog state, options presented to the user, conversation topic, location, etc. Speech recognition of sentences that include these n-grams ...

ژورنال: توانبخشی 2020

Objective: Brain trauma evidences suggest that the two grammatical categories of noun and verb are processed in different regions of the brain due to differences in the complexity of grammatical and semantic information processing. Studies have shown that the verbs belonging to different semantic categories lead to neural activity in different areas of the brain, and action verb processing is r...

2000
Karin Kipper Schuler Hoa Trang Dang Martha Palmer

We present an approach to building a verb lexicon compatible with WordNet but with explicitly stated syntactic and semantic information, using Levin verb classes to systematically construct lexical entries. By using verb classes we capture generalizations about verb behavior and reduce the effort needed to construct the lexicon. The syntactic frames for the verb classes are represented by a Lex...

2008
Sabine Schulte im Walde Christian Hying Christian Scheible Helmut Schmid

This paper presents an innovative, complex approach to semantic verb classification that relies on selectional preferences as verb properties. The probabilistic verb class model underlying the semantic classes is trained by a combination of the EM algorithm and the MDL principle, providing soft clusters with two dimensions (verb senses and subcategorisation frames with selectional preferences) ...

2002
Fernando Trujillo

The Verb Group Traditionally the verb group was studied following the Latin model of analysis, that is, it was classified according to the “tense”: Present Simple, Present Progressive, Past Simple, Past Progressive, Present Perfect, Past Perfect, Future and so on. This type of classification, although familiar to the Spanish learner, is confusing in the sense that it makes each tense an isolate...

2005
Tao Yang

The digital image processing technology based on computational verb theory is presented. If images are viewed as dynamic processes along spatial coordinates then the changes of patterns of gray values can be represented as spatial verbs. The basic principles of verb image processing is to find the relation between an image and a template spatial verb. In order to reduce the calculating burdens ...

2017
Yu-Hsuan Wu Jhih-Jie Chen Jason S. Chang

According to the analysis of Cambridge Learner Corpus, using a wrong verb is the most common type of grammatical errors. This paper describes Verb Replacer, a system for detecting and correcting potential verb errors in a given sentence. In our approach, alternative verbs are considered to replace the verb based on an errorannotated corpus and verb-object collocations. The method involves apply...

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