METHODOLOGY FOR A COMPARATIVE LINGUOPRAGMATIC AND STRUCTURAL-SEMANTIC STUDY OF MEDICAL DOCUMENTS IN UZBEK AND ENGLISH

Authors

  • Madinaxon Orifjonova Author

Keywords:

contrastive linguistics, medical document, corpus, pragmatics, structural-semantic analysis, annotation, modality.

Abstract

This article proposes a methodology for selecting, segmenting, annotating and interpreting Uzbek and English medical documents. Comparable corpora are distinguished from parallel translation corpora. Modality, negation, information source and communicative function form interconnected annotation layers. The framework includes procedures for assessing annotator agreement, controlling corpus composition and supporting reproducible interpretation.

References

1. Abduraxmanova, N. N. (2024). Ingliz va o‘zbek og‘zaki hamda yozma nutqida instruktiv diskurs. Filologiya fanlari bo‘yicha falsafa doktori (PhD) dissertatsiyasi avtoreferati. 10.00.06. Andijon davlat chet tillari instituti. Avtoreferatning to‘liq matni.

2. Bakiyeva, G., & Kaharova, I. (2023). Translation of emotive, imitative and modal words in the English and Uzbek languages. Philology Matters, 45(2), 3–22. Maqolaning to‘liq matni.

3. Kranich, S. (2016). Contrastive Pragmatics and Translation: Evaluation, epistemic modality and communicative styles in English and German. Pragmatics & Beyond New Series, 261. John Benjamins. DOI: 10.1075/pbns.261.

4. Hahn, U. (2025). Clinical document corpora—real ones, translated and synthetic substitutes, and assorted domain proxies: a survey of diversity in corpus design, with focus on German text data. JAMIA Open, 8(3), ooaf024. DOI: 10.1093/jamiaopen/ooaf024.

5. Frings, J., Rust, P., Jede, F., Meister, S., Prinz, C., & Fehring, L. (2025). Diagnosis decoded: a taxonomy and natural language processing analysis of the diagnosis section in German hospital discharge summaries. Health Care Management Science, 28, 806–823. DOI: 10.1007/s10729-025-09732-8.

6. Callen, A. L., et al. (2020). Between Always and Never: Evaluating Uncertainty in Radiology Reports Using Natural Language Processing. Journal of Digital Imaging, 33(5), 1194–1201. DOI: 10.1007/s10278-020-00379-1.

7. Artstein, R., & Poesio, M. (2008). Survey Article: Inter-Coder Agreement for Computational Linguistics. Computational Linguistics, 34(4), 555–596. DOI: 10.1162/coli.07-034-R2.

8. Brezina, V. (2018). Statistics in Corpus Linguistics: A Practical Guide. Cambridge University Press. DOI: 10.1017/9781316410899.

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Published

2026-10-06

How to Cite

Orifjonova , M. (2026). METHODOLOGY FOR A COMPARATIVE LINGUOPRAGMATIC AND STRUCTURAL-SEMANTIC STUDY OF MEDICAL DOCUMENTS IN UZBEK AND ENGLISH. UZBEKISTAN — 2030: PROSPECTS FOR INNOVATION, SCIENCE AND EDUCATION, 2(2), 59-63. https://konferensiyalar.com/index.php/ifti/article/view/714