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Offline Corpus Augmentation for English-Amharic Machine Translation
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In: 2022 The 5th International Conference on Information and Computer Technologies ; https://hal.archives-ouvertes.fr/hal-03547539 ; 2022 The 5th International Conference on Information and Computer Technologies, Mar 2022, New York, United States (2022)
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ЛЕКСИКА НА ПОЗНАЧЕННЯ НАЗВ ТВАРИН ВЕРХНЬОГО ЦАРСТВА У ТЕКСТАХ УКРАЇНСЬКИХ ЗАМОВЛЯНЬ ... : VOCABULARY FOR THE NAMES OF ANIMALS OF THE UPPER KINGDOM IN THE TEXTS OF UKRAINIAN SPELLS ...
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Lexical Diversity in Statistical and Neural Machine Translation
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In: Information; Volume 13; Issue 2; Pages: 93 (2022)
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The Crowdfunding of Altruism
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In: Journal of Risk and Financial Management; Volume 15; Issue 3; Pages: 138 (2022)
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The strength of morphophonological schemas: Consonant mutations in Polish
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In: Glossa: a journal of general linguistics; Vol 6, No 1 (2021); 25 ; 2397-1835 (2021)
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TRUNAJOD: A text complexity library to enhance natural language processing ...
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TRUNAJOD: A text complexity library to enhance natural language processing ...
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Восходящий синтаксический анализ текстов на естественном языке ... : Bottom-up syntax analysis for natural language texts ...
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Not your daddy’s theatre criticism : countering white supremacy culture with inclusive possibility models
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| 11 |
The Effects of Systematic Manipulation of Reinforcement Within a Classroom Management System
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In: Theses and Dissertations--Early Childhood, Special Education, and Counselor Education (2021)
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Reference construction in interaction: The case of type-indicative “so”
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In: Journal of Pragmatics, vol. 181, pp. 241-258 (2021)
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“No” and “net” as response tokens in English and Russian business discourse: In search of a functional equivalence
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In: Russian Journal of Linguistics, Vol 25, Iss 2, Pp 391-416 (2021) (2021)
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Abstract:
The literature on English suggests that turn-initial no fulfils a variety of discourse-pragmatic functions beyond its use as a negative response to polar questions. We cannot assume that the same range or distribution of functions is realised by its nearest Russian equivalent, net . Hence, investigating the contrasts and similarities in the nomenclature and distribution of functions of no and net should pose an important research problem for various discourses, and especially for business discourse with its focus on goal-orientation and productive interpersonal relations requiring adequate interlingual interaction. The study examines how no and net occur in two corpora of spoken business/professional discourse in order to establish their functional comparability and reveal the differences in their use. The article draws on data from the Cambridge and Nottingham Spoken Business English Corpus and the Russian National Corpus analysed using a combination of corpus linguistics, conversation analysis and discourse analytical approaches. Study results show some overlap between the functions of the response particles in English and Russian, and some differences. The findings suggest that no / net display a number of functions connected with conversational continuity, topic management, turn-taking and hedging. The distribution and functions of no/net in the English and Russian data are similar, with the Russian data showing a preference for floor-grabbing no -initiated turns. Translation equivalence is not always fully applicable between no and net . A mixed methodology generates results which suggest that fruitful insights can be gained from English and Russian corpus data. The issues of the use of no and нет in English and Russian business discourses can be further investigated using the suggested data and conclusions.
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Keyword:
business discourse; corpus analysis; discourse marker; negative particle; P1-1091; Philology. Linguistics; response token; turn-opener
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URL: https://doaj.org/article/849d835c86284a2d925ff174f8f7f727
https://doi.org/10.22363/2687-0088-2021-25-2-391-416
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The Effects of Awareness-Raising with a Strong Component of Noticing to Listener Responses in Japanese
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From lexical towards contextualized meaning representation ; Vers des représentations contextualisées de mots
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In: https://tel.archives-ouvertes.fr/tel-02478383 ; Computers and Society [cs.CY]. Université Grenoble Alpes, 2019. English. ⟨NNT : 2019GREAM037⟩ (2019)
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