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THE DEVELOPMENT TENDENCIES OF COMPUTATIONAL LINGUISTICS IN UZBEKISTAN: NLP, MACHINE TRANSLATION, CORPUS LINGUISTICS AND AUTOMATIC TEXT EDITING

The American Journal of Social Science and Education Innovations, 2022
This paper presents the recent development tendencies in the field of computational linguistics in Uzbekistan. It aims to address the researchers and research papers in computational linguistic areas such as: NLP, Machine translation, Corpus Linguistics and Text Editing. The article also highlights the new branches of Computational linguistics that has
Juraev B. Shokhrukh   +1 more
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Diachronic changes in subjectivity and stance–A corpus linguistic study of Dutch news texts

Discourse, Context & Media, 2012
In several studies of English data, researchers have observed a trend of 'informalization': a shift of stylistic preferences in public written discourse, such as journalistic texts, towards a more conversational, or oral, style. In this paper, we aim to contribute to this issue by empirically testing this informalization thesis for Dutch.
Vis, K.   +2 more
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Text linguistics at the millennium: Corpus data and missing links

Text - Interdisciplinary Journal for the Study of Discourse, 2000
Text linguistics seems to have originated chiefly in order to expand the search for constraints, which was being noticeably impeded by the self-imposed restrictions in a 'linguistics' centered on isolated, invented sentences and abstract formalisms. Yet early attempts to bring the 'text' into the scope of such a linguistics now seem inverted: for us ...
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Contrastive textology and corpus linguistics: On the value of parallel texts

Language Sciences, 1996
Abstract The paper sketches the development from contrastive lexicology to contrastive textology, distinguishes a number of different types of ‘parallel texts’, shows how computer-assisted corpus linguistics is coming to grips with text typological issues, and mentions some applications.
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Text-Type Variation in Vietnamese: Corpus Mining for Linguistic Features in Narrative and Non-Narrative Genres

2020 7th NAFOSTED Conference on Information and Computer Science (NICS), 2020
In this study, we exploit two Vietnamese corpora: a narrative corpus and a non-narrative corpus. For each of these corpora, there are 24 million words collected from documents of the two genres with publication dates from 2000 to 2020. All of these words are annotated with word boundaries and parts of speech.
Nhu Vo Diep, Thuy Bui, Dien Dinh
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Semantic Variation in Idiolect and Sociolect: Corpus Linguistic Evidence from Literary Texts

Computers and the Humanities, 2004
Idiolects are person-dependent similarities in language use. They imply that texts by one author show more similarities in language use than texts between authors. Sociolects, on the other hand, are group-dependent similarities in language use. They imply that texts by a group of authors, for instance in terms of gender or time period, share more ...
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The encoding of motion events in football and cycling live text commentary: A corpus linguistic analysis

Yearbook of the German Cognitive Linguistics Association, 2017
AbstractBased on large annotated corpora of German live commentary reports on football games and cycling races, this paper analyses the varying linguistic means of encoding motion from the perspective of cognitive semantics. We start from the observation that in football adpositional constructions in the accusative case with directional meaning prevail,
Thiering, M., Meier, S.
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Corpus-Driven Hypothesis Generation in Translation Studies, Contrastive Linguistics and Text Linguistics: A Case Study of Demonstratives in Spanish and Dutch Parallel Texts

Belgian Journal of Linguistics, 2007
This paper shows how parallel corpus research can generate hypotheses that are relevant to Contrastive Linguistics, Translation Studies and Text Linguistics. The data that are used concern the use of demonstrative determiners and pronouns in Spanish and Dutch source and target texts.
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Text Analytics for Corpus Linguistics and Digital Humanities

Do you want to gain a deeper understanding of how big tech analyzes and exploits our text data, or investigate how political parties differ by analyzing textual styles in documents? This book explores how to apply state-of-the-art text analytics methods to detect and visualize phenomena in text data.
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Investigating Texts about Environmental Degradation Using Critical Discourse Analysis and Corpus Linguistic Techniques

2017
This chapter questions the ideologies underpinning unsustainable neoliberal economic processes and challenges activities that cause ecological degradation. Critical discourse analysis and corpus linguistics are employed to scrutinize companies’ websites on the environment.
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