PUBLISHED PAPERS #02.02
| Sevda Huseynova. Automation in Azerbaijani Linguistic Engineering: Advancing Translation and Speech Recognition |
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| Abstract. Automation in linguistic engineering represents a significant frontier in computational linguistics, particularly in multilingual contexts. This paper explores the integration of automation technologies in Azerbaijani linguistic engineering, focusing on translation systems and speech recognition tools. Despite advancements globally, Azerbaijani faces unique challenges due to its agglutinative structure, rich morphology, and relatively limited linguistic datasets. By examining the current state of automation in Azerbaijani linguistics, this paper highlights potential pathways for optimizing machine translation and speech recognition systems. Case studies and comparative analyses with global systems are presented to contextualize Azerbaijan’s progress. This research underscores the importance of targeted investment in linguistic data collection, algorithm development, and interdisciplinary collaboration to ensure the language's digital preservation and accessibility in the age of automation. |
| Keywords: Azerbaijani language, linguistic engineering, automation, machine translation, speech recognition, computational linguistics, natural language processing, digital transformation, AI in linguistics |
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| DOI: https://doi.org/10.30546/MaCoSEP2025.1008 |