A Computational Linguistic Approach to English Lexicography

Authors

  • Fan Yang

DOI:

https://doi.org/10.62051/wepk6t89

Keywords:

Computational Linguistics; Natural Language Processing; Text Analysis; Language Generation; Language Understanding.

Abstract

Focusing on computational linguistic approaches to English linguistics, this research explores how computational methods can be applied to dissect, understand and utilise the English language. We first looked at text analysis and processing, delving into natural language processing techniques such as text categorisation, sentiment analysis and machine translation, and their application to social media and automated text processing. In the area of lexicography and semantics, we explored how techniques such as distributed word vectors, semantic role labelling and sentiment analysis can deepen our understanding of vocabulary and semantics. We highlight the importance of these techniques in natural language processing tasks such as sentiment analysis and information retrieval. In addition, we focus on cross-language comparative and multilingual research, emphasising how big data and cross-language comparative research can reveal similarities and differences between languages and their implications for global linguistics. Finally, we explore corpus linguistics and big data analytics, highlighting the richness of linguistic data and tools they provide for linguistic research. Overall, this study highlights the importance of computational linguistic approaches to English linguistics and how they have transformed the way linguistics is studied and language technology has evolved. Future research trends will continue to drive the further development of computational linguistics methods, leading to a closer integration of linguistics with big data analytics and computational methods, creating more opportunities for the future of the field of linguistics.

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References

Skoufaki, S., & Petrić, B. (2021). Exploring polysemy in the Academic Vocabulary List: A lexicographic approach. Journal of English for Academic Purposes, 54, 101038.

Frankenberg-Garcia, A., Rees, G. P., & Lew, R. (2021). Slipping through the Cracks in e-Lexicography. International Journal of Lexicography, 34(2), 206-234.

Dollinger, S. (2020). English Lexicography: A global perspective. The Handbook of English Linguistics, 525-546.

Zhumasheva, K. B., Sapargaliyeva, M. E., Sarkulova, D. S., Kuzhentayeva, R. M., & Utarova, A. G. (2022). Representation of gender metaphor in lexicography as a reflection of culture. International Journal of Society, Culture & Language, 10(3), 151-162.

Hargraves, O. (2021). Lexicography in the Post-Dictionary World. Dictionaries: Journal of the Dictionary Society of North America, 42(2), 119-129.

Maziarz, M., Grabowski, Ł., Piotrowski, T., Rudnicka, E., & Piasecki, M. (2023). Lexicalisation of Polish and English word combinations: an empirical study. Poznan Studies in Contemporary Linguistics, 59(2), 381-406.

Costa, R., Salgado, A. D. C., & Almeida, B. (2021). SKOS as a key element for linking lexicography to digital humanities. Information and Knowledge Organisation in Digital Humanities, 178-204.

D'Souza, J., Hoppe, A., Brack, A., Jaradeh, M. Y., Auer, S., & Ewerth, R. (2020). The STEM-ECR dataset: grounding scientific entity references in STEM scholarly content to authoritative encyclopedic and lexicographic sources. arXiv preprint arXiv:2003.01006.

Khumalo, L., & Nkomo, D. (2022). The intellectualization of African languages through terminology and lexicography: methodological reflections with special reference to lexicographic products of the University of KwaZulu-Natal. Lexikos, 32(2), 133-157.

Bellandi, A. (2023). Building linked lexicography applications with LexO-server. Digital Scholarship in the Humanities, fqac095.

Grimm, N. (2022). Documentary Approaches to Lexicography. In Current Issues in Descriptive Linguistics and Digital Humanities: A Festschrift in Honor of Professor Eno-Abasi Essien Urua (pp. 551-567). Singapore: Springer Nature Singapore.

Pankratz, E., Arppe, A., & Lachler, J. (2022). Low hanging fruit and the Boasian trilogy in digital lexicography of morphologically rich languages: Lessons from a survey of Indigenous language resources in Canada. Nordlyd, 46(1), 193-204.

Salgado, A. M. D. C. F. (2022). Terminological Methods in Lexicography: Conceptualising, Organising, and Encoding Terms in General Language Dictionaries.

Costa, R., Salgado, A., Ramos, M., Almeida, B., Silva, R., Carvalho, S., ... & Romary, L. (2023). A crossroad between lexicography and terminology work: Knowledge organization and domain labelling. Digital Scholarship in the Humanities, 38(Supplement_1), i17-i29.

Liu, S. A Comprehensive Review of Lexicography, Corpus Linguistics and Machine Translation. International Journal of Education and Teaching Research, 45.

Tiberius, C., & Heylen, K. (2022). ELEXIS Pathfinder to Computational Lexicography for Developers and Computational Linguists. DARIAH-Campus.

Chaga, A. (2023). Den ’Den’ skoj: A Lexicographic Portrait of a Russian Microsyntactic Unit. In Literature, Language and Computing: Russian Contribution (pp. 21-30). Singapore: Springer Nature Singapore.

Rojas Díaz, J. L. (2023). ‘Arm’s length’ phraseology? Building bridges from general language to specialized language phraseology–a study based on a specialized dictionary of International Commerce and Economics in Spanish and English. Terminology, 29(1), 1-44.

Munson, M. (2021). Lexicography, the Louw–Nida Lexicon, and Computational Co-Occurrence Analysis. Hutchings, Tim; Clivaz, Claire (Hg.): Digital Humanities and Christianity. An Introduction, Berlin, 169-192.

Arias-Badia, B., & Torner, S. (2023). Bridging the gap between website accessibility and lexicography: information access in online dictionaries. Universal Access in the Information Society, 1-16.

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Published

21-12-2023

How to Cite

Yang, F. (2023) “A Computational Linguistic Approach to English Lexicography”, Transactions on Computer Science and Intelligent Systems Research, 2, pp. 39–44. doi:10.62051/wepk6t89.