PURPOSE We sought to identify the core lexicon of a picture-description task using transcripts from the AphasiaBank database and to determine differences in core-lexicon usage between control speakers and persons with aphasia (PWAs). We also investigated the relationship between core lexicon and an established discourse measure, main-concept analysis. METHOD A core lexicon was developed by id...

Multilingual Opinion Mining deals with the analysis of opinions, regardless of the language in which they are written. Works in this area focus on the classification of the polarity of opinions extracted from texts, and less attention has been paid to the classification of emotions. This work proposes the use of Multilingual Opinion Mining techniques for emotion mining using parallel corpora. W...

qeysar aminpour (1959-2007) is one of the outstanding figures in contemporary persian poetry. one of the prominent aspects of his poetic style is the distinct language of his poems in the three areas of lexicon, compositions and syntax. relying on these three areas, this study attempted to investigate the most important linguistic features of his poetry in order to figure out special style of t...

Ontologies as part of a lexicon are important for many NLP tasks. In this paper, we draw on experiences gained in an ESPRIT project called TREVI, which concerns news filtering and enrichment and includes a English/Spanish multilingual Lexicon. We sketch the way the Lexicon, including an ontology, is constructed, and present the methodology used for adding domain ontologies. In general, the appr...

the spreading activation models of mental lexicon's structure have presented the lexicon in multiple layers (semantic- syntactic- phonological). each layer is a network of nodes which are associated by links. the nature of these links is different from layer to layer. the literature for english speakers has shown that in the phonological layer, phonological forms of words have been linked based...

Emotion processing has been a very intense domain of investigation in data analysis and NLP during the previous few years. Currently, algorithms deep neural networks have applied for opinion mining tasks with good results. Among various neuronal models belief network (DBN) model gained more attention. In this proposal, we developed combined classifier based on fuzzy Vader lexicon parallel emoti...

The aim of this paper is to diagnose the sufficiency first-year pedagogy students’ discoursive competence, considering lexical, reading comprehension and written competences. Whit objective, three instruments were designed adapted, one for each competence: lexical availability test, test rubric evaluate an argumentative writing task. Among main findings, it stands out that highest performance c...