Computer-based analysis of business communication language

The paper analyses linguo-cultural characteristics of business negotiations such as discourse lexis, emotional colouring level, metaphor phrases, professional jargon and other linguistic and speech means from the perspective of computational linguistics. Different specific features of the language of business and professional communication are represented in terms of automatic text analysis methods. The possible ways of extraction of these features from texts are considered. The formal model of the language based on cognitive structures has been developed. The model is oriented for business negotiations and scientific texts. It can be used as a helpful means for communicants who speak imperfect English for determination of the extent to which their texts relate to business and professional communication. The model can also be used in distance learning systems for detection of errors in text writing. The authors draw the conclusion about prospects for practical application of the proposed model and discuss directions for further research. © 2016 IEEE.

Авторы
Malyuga E. 1 , Shvets A.2 , Tikhomirov I.2
Сборник материалов конференции
Издательство
Institute of Electrical and Electronics Engineers Inc.
Язык
Английский
Страницы
229-232
Статус
Опубликовано
Номер
7555987
Год
2016
Организации
  • 1 Peoples' Friendship University of Russia, Moscow, Russian Federation
  • 2 Institute for Systems Analysis, Federal Research Center, Computer Science and Control, Russian Academy of Sciences, Moscow, Russian Federation
Ключевые слова
business and professional communication; computer-based analysis of the language of negotiations; language of negotiations; text model
Дата создания
19.10.2018
Дата изменения
21.02.2020
Постоянная ссылка
https://repository.rudn.ru/ru/records/article/record/3851/
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Другие записи

Davydenko I., Barlow S., Sharma R., Benis S., Simon J., Allen T.G., Cooper M.W., Khrustalev V., Jucov E.V., Castañeda R., Ordonez C., Li Z., Chi S.-H., Jang S.-H., Parker T.C., Timofeeva T.V., Perry J.W., Jen A.K.-Y., Hagan D.J., Marder S.R., Van Stryland E.W.
Journal of the American Chemical Society. American Chemical Society. Том 138. 2016. С. 10112-10115