scholarly journals Automatic Aspect Extraction using Lexical Semantic Knowledge in Code-Mixed Context

2017 ◽  
Vol 112 ◽  
pp. 693-702 ◽  
Author(s):  
Kavita Asnani ◽  
Jyoti D. Pawar
Author(s):  
Nufar Sukenik ◽  
Laurice Tuller

AbstractStudies on the lexical semantic abilities of children with autism have yielded contradicting results. The aim of the current review was to explore studies that have specifically focused on the lexical semantic abilities of children with ASD and try to find an explanation for these contradictions. In the 32 studies reviewed, no single factor was found to affect lexical semantic skills, although children with broader linguistic impairment generally, but not universally, also showed impaired lexical semantic skills. The need for future studies with young ASD participants, with differing intellectual functioning, longitudinal studies, and studies assessing a wide range of language domains are discussed.


2019 ◽  
Author(s):  
Jennifer M Rodd

Most words are ambiguous: individual wordforms (e.g., “run”) can map onto multiple different interpretations depending on their sentence context (e.g., “the athlete/politician/river runs”). Models of word-meaning access must therefore explain how listeners and readers are able to rapidly settle on a single, contextually appropriate meaning for each word that they encounter. This article presents a new account of word meaning that places semantic disambiguation at its core, and integrates evidence from a wide variety of experimental approaches to explain this key aspect of language comprehension. The model has three key characteristics. (i) Lexical-semantic knowledge is viewed as a high-dimensional space; familiar word meanings correspond to stable states within this lexical-semantic space. (ii) Multiple linguistic and paralinguistic cues can influence the settling process by which the system resolves on one of these familiar meanings. (iii) Learning mechanisms play a vital role in facilitating rapid word-meaning access by shaping and maintaining high quality lexical-semantic knowledge. Several key areas for future research are identified.


2006 ◽  
Vol 59 (5) ◽  
pp. 949-964 ◽  
Author(s):  
Elizabeth Jefferies ◽  
Clive Frankish ◽  
Matthew A. Lambon Ralph

Previous studies have reported that, in contrast to the effect on immediate serial recall, lexical/semantic factors have little effect on immediate serial recognition. This has been taken as evidence that linguistic knowledge contributes to verbal short-term memory in a redintegrative process at recall. Contrary to this view, we found that lexicality, frequency, and imageability all influenced matching span. The standard matching span task, requiring changes in item order to be detected, was less susceptible to lexical/semantic factors than was a novel task involving the detection of phoneme order and hence item identity changes. Therefore, in both immediate recognition and immediate serial recall, lexical/semantic knowledge makes a greater contribution to item identity than to item order memory. Task sensitivity, and not the absence of overt recall, may have underpinned previous failures to show effects of these variables in immediate recognition. We also compared matching span for pure and unpredictable mixed lists of words and nonwords. Lexicality had a larger impact on immediate recognition for pure than for mixed lists, in line with findings for immediate serial recall. List composition affected the detection of phoneme but not item order changes in matching span; similarly, in recall, mixed lists produce more frequent word phoneme migrations but not migrations of entire items. These results point to strong similarities between immediate serial recall and recognition. Lexical/semantic knowledge may contribute to phonological stability in both tasks.


Cortex ◽  
2015 ◽  
Vol 70 ◽  
pp. 155-168 ◽  
Author(s):  
Luca Piretti ◽  
Andrea Carnaghi ◽  
Fabio Campanella ◽  
Elisabetta Ambron ◽  
Miran Skrap ◽  
...  

2014 ◽  
Vol 5 ◽  
Author(s):  
Rumiati Raffaella ◽  
Foroni Francesco ◽  
Pergola Giulio ◽  
Rossi Paola ◽  
Silveri Maria

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