2017 IEEE 15th Intl Conf on Dependable, Autonomic and Secure Computing, 15th Intl Conf on Pervasive Intelligence and Computing, 2017
DOI: 10.1109/dasc-picom-datacom-cyberscitec.2017.214
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Extension of Semantic Based Urdu Linguistic Resources Using Natural Language Processing

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Cited by 10 publications
(5 citation statements)
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“…The generalizability of the existing bullying scales in countries like Pakistan, where English is not the first language must also be considered, because some words convey different meanings in different cultures. Sometimes, it is also hard to find suitable substitute for a particular English word while translating the statements, which may change its meaning, especially when using technical terms in a specific context [29][30][31]. Language barriers could also influence the accurate assessment of workplace bullying.…”
Section: Introductionmentioning
confidence: 99%
“…The generalizability of the existing bullying scales in countries like Pakistan, where English is not the first language must also be considered, because some words convey different meanings in different cultures. Sometimes, it is also hard to find suitable substitute for a particular English word while translating the statements, which may change its meaning, especially when using technical terms in a specific context [29][30][31]. Language barriers could also influence the accurate assessment of workplace bullying.…”
Section: Introductionmentioning
confidence: 99%
“…Language barriers can also challenge the generalizability of the existing SAD scales in countries like Pakistan, where English is not the first language. Sometimes, the meaning of a particular English word might change while finding a suitable substitute in translating the statements [17][18][19]. For the above-mentioned reasons, theoretical and practical benefits are likely to be derived not only from a new instrument encompassing the previous ones, but also from the validity added by a sample of indigenous participants.…”
Section: Introductionmentioning
confidence: 99%
“…Khalid et al [15], presented identifying the multi-word Urdu from a number of corpora. The improvement of this scheme C-value method and NLP is utilized along with Urdu WordNet.…”
Section: Introductionmentioning
confidence: 99%