Methodology for creating a parallel corpus of Oybek’s novel “Navoiy” and annotating literary devices used to depict human appearance

Authors

  • Urgench State University named after Abu Rayhan Biruni

DOI:

https://doi.org/10.5281/zenodo.22274767
Methodology for creating a parallel corpus of Oybek’s novel “Navoiy” and annotating literary devices used to depict hu

Abstract

The integration of corpus linguistics and translation studies has expanded the possibilities for the empirical investigation of literary texts. This article describes the principles of constructing a parallel corpus based on Oybek's novel Navoi and its English translation, as well as a multi-layer annotation model for literary devices representing human appearance. The corpus was compiled according to the principles of representativeness, completeness, consistency, and reproducibility. Each portrait unit was treated as an independent observation unit and assigned a unique identification code that records its semantic category, type of stylistic device, linguistic realization, translation equivalent, and translation transformation. Statistical analysis was conducted using the token principle, while the source and target texts were aligned through the sentence alignment method based on semantic equivalence. The proposed methodological model provides a systematic framework for investigating the lexical-semantic and translational characteristics of portrait units in a parallel corpus and establishes a methodological basis for corpus-based and translation-oriented studies of Uzbek literary texts.

Keywords:

Parallel corpus annotation stylistic devices portrait description lexical-semantic relations translation studies

References

Abdurakhmonova, N., Tuliyev, U., & Gatiatullin, A. (2021). Linguistic functionality of Uzbek electron corpus: Uzbekcorpus.uz. 2021 International Conference on Information Science and Communications Technologies (ICISCT), 1–4. https://doi.org/10.1109/ICISCT52966.2021.9670043

Alves, F. (Ed.). (2003). Triangulating translation: Perspectives in process-oriented research (Vol. 45). John Benjamins Publishing Company. https://doi.org/10.1075/btl.45

Baker, M. (1993). Corpus linguistics and translation studies–Implications and applications. In M. Baker, G. Francis, & E. Tognini-Bonelli (Eds.), Text and technology. John Benjamins Publishing Company. https://doi.org/10.1075/z.64.15bak

Hasselgård, H. (2020). Corpus-based contrastive studies: Beginnings, developments and directions. Languages in Contrast, 20(2), 184–208. https://doi.org/10.1075/lic.00015.has

O’Brien, S. (2012). Translation as human–computer interaction. Translation Spaces, 1, 101–122. https://doi.org/10.1075/ts.1.05obr

Simard, M., & Plamondon, P. (1998). Bilingual sentence alignment: Balancing robustness and accuracy. Machine Translation, 13(1), 59–80. https://doi.org/10.1023/A:1008010319408

Zanettin, F. (2014). Translation-driven corpora: Corpus resources for descriptive and applied translation studies. Routledge. https://doi.org/10.4324/9781315759661

Published

Downloads

Author Biography

Maftuna Bakhtiyor kizi Mirzayeva,
Urgench State University named after Abu Rayhan Biruni

PhD Student

How to Cite

Mirzayeva, M. B. kizi. (2026). Methodology for creating a parallel corpus of Oybek’s novel “Navoiy” and annotating literary devices used to depict human appearance. The Lingua Spectrum, 8(1), 36–42. https://doi.org/10.5281/zenodo.22274767