Computational text analysis
dc.contributor.author | Boumedjou, Tariq | |
dc.contributor.author | Houadsi, Ayoub | |
dc.contributor.author | Ayadi, Karim | |
dc.date.accessioned | 2020-12-13T06:48:18Z | |
dc.date.available | 2020-12-13T06:48:18Z | |
dc.date.issued | 2020 | |
dc.description.abstract | The latest advances in computational linguistics breathed new life into textual analysis approaches. With a battery of textual processing software, it gave momentum for language studies to delve more and more into digital practices opening new experimental prospects. In light of this statement, this study came to exploit these intelligent information processing tools to investigate the relationship between readability and vocabulary use in the writings of EFL learners. In a correlational research design, both variables were analyzed in order to establish a statistically corresponding relationship. The data needed to perform the analyses had been extracted form a sample of 30 essays written by second year EFL students at the University of Larbi Ben M'hidi. The analyses were carried out using a lexical profiling software that features many analytical choices. One of which is controlling the textual features to be tested. The Flesch reading ease formula was chosen to measure the readability. The MTLD, the BNC and Hyland's metadiscourse markers were chosen to measure three vocabulary aspects; lexical diversity, lexical sophistication and metadiscourse respectively. Readability, then, was paired with each vocabulary index to identify the corresponding correlation coefficients. The statistical interpretation of the results showed a strong link between readability and lexical diversity, gave an equally clear evidence for a negative correlation between readability and lexical sophistication and failed to prove nor deny the relationship between readability and metadiscourse. Therefore, their association remains unanswered. | ar |
dc.identifier.uri | http://hdl.handle.net/123456789/9554 | |
dc.language.iso | other | ar |
dc.publisher | Oum-El-Bouaghi | ar |
dc.subject | Readability | ar |
dc.subject | Lexical profiling | ar |
dc.subject | Correlation | ar |
dc.title | Computational text analysis | ar |
dc.title.alternative | eadability vis-à-vis Vocabulary use the case of second year EFL students at Larbi Ben M'hidi university | ar |
dc.type | Other | ar |
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