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October 27, 2025Global spectrum of research and humanities.0 citationsOpen Access

Cross-Linguistic Analysis of Number-Based Idioms in English and Azerbaijani

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FİFatima Zahid İsmayilli

Key Points

  • Cross-linguistic analysis reveals unique expressions used in both languages, highlighting metaphorical functions of numbers.
  • English and Azerbaijani utilize numerals to convey concepts like quantity and time, showcasing cultural specificity.
  • The study compares idioms through idiom dictionaries and linguistic corpora, focusing on structure and meaning.
  • Understanding these idioms deepens insights into cultural values and the challenges of translation across languages.

Abstract

Abstract: Number-based idioms (expressions containing numerals) are a rich site for exploring how language, cognition, and culture intersect. This study provides a comparative analysis of such idioms in English and Azerbaijani. We compile examples from idiom dictionaries and linguistic corpora, then analyze their structure, meaning, usage, and cultural background. Both languages employ numbers metaphorically to express quantity, time, emotions, and other concepts. For instance, English uses “a million and one” to mean an extremely large number, while Azerbaijani speakers say “yüz faiz” (100%) or “200 faiz” for absolute certainty. We highlight idioms that are structurally or semantically equivalent and those that are language-specific. The analysis shows that while many idioms share universal traits (e.g. use of metaphor), they also reflect unique cultural values (e.g. sacred numbers like 7 or 40 in Azerbaijani tradition). We discuss challenges in translating these idioms across languages, emphasizing that translators must often convey underlying meaning rather than literal numbers. This combination of theoretical and comparative methods reveals how numeric idioms encode cognitive metaphors and sociocultural beliefs, and it provides guidelines for translation and teaching.

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Fatima Zahid İsmayilli (2025) studied this question.

synapsesocial.com/papers/68ff87e2c8c50a61f2bdcd9bhttps://doi.org/10.69760/gsrh.0250205013
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