@inproceedings{valunaite-oleskeviciene-etal-2026-lexical,
title = "Lexical Innovation in Business Colour Idioms: Evidence from Large Language Models in Five Languages",
author = "Valunaite Oleskeviciene, Giedre and
Abuczki, {\'A}gnes and
Richter, Ganit and
Ujkani, Berat and
Moitinho de Almeida, Vera and
Madeira, Pedro",
editor = "Oleskeviciene, Giedre Valunaite and
Giouli, Voula and
Armaselu, Florentina and
Liebeskind, Chaya and
McGillivray, Barbara",
booktitle = "Proceedings of the Workshop Neology and Large Language Models",
month = may,
year = "2026",
address = "Palma, Mallorca (Spain)",
publisher = "ELRA Language Resources Association (ELRA)",
url = "https://aclanthology.org/2026.neollm-1.4/",
doi = "10.63317/2c2wguvy6spu",
pages = "39--46",
abstract = "Lexical innovation refers to the process of creating new lexical items, enabling languages to adapt to evolving socio-cultural and material realities. The domains of business, economics, and finance are among the most productive ones of lexical innovation. The present research study lies at the intersection of lexical innovation, idiomaticity, and large language model (henceforth, LLM) research and investigates lexical productivity, semantic shift, and globalization (Anglocentric changes) in business-related colour idioms by comparing human translation and annotation with the output of LLMs. The current experiment involves an initial study carried out for five languages: English (the pivotal one), Albanian (AL), Hebrew (HE), Hungarian (HU), Lithuanian (LT), and Standard European Portuguese (PT). The research results reveal that LLMs show high mutual agreement, but the agreement with humans is lower. The internal consistency of LLMs reflects shared Anglocentric metaphor encoding rather than convergence toward human idiomatic usage. It demonstrates that human expertise remains essential for high-quality idiomatic translation, particularly for culture-specific expressions."
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<abstract>Lexical innovation refers to the process of creating new lexical items, enabling languages to adapt to evolving socio-cultural and material realities. The domains of business, economics, and finance are among the most productive ones of lexical innovation. The present research study lies at the intersection of lexical innovation, idiomaticity, and large language model (henceforth, LLM) research and investigates lexical productivity, semantic shift, and globalization (Anglocentric changes) in business-related colour idioms by comparing human translation and annotation with the output of LLMs. The current experiment involves an initial study carried out for five languages: English (the pivotal one), Albanian (AL), Hebrew (HE), Hungarian (HU), Lithuanian (LT), and Standard European Portuguese (PT). The research results reveal that LLMs show high mutual agreement, but the agreement with humans is lower. The internal consistency of LLMs reflects shared Anglocentric metaphor encoding rather than convergence toward human idiomatic usage. It demonstrates that human expertise remains essential for high-quality idiomatic translation, particularly for culture-specific expressions.</abstract>
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%0 Conference Proceedings
%T Lexical Innovation in Business Colour Idioms: Evidence from Large Language Models in Five Languages
%A Valunaite Oleskeviciene, Giedre
%A Abuczki, Ágnes
%A Richter, Ganit
%A Ujkani, Berat
%A Moitinho de Almeida, Vera
%A Madeira, Pedro
%Y Oleskeviciene, Giedre Valunaite
%Y Giouli, Voula
%Y Armaselu, Florentina
%Y Liebeskind, Chaya
%Y McGillivray, Barbara
%S Proceedings of the Workshop Neology and Large Language Models
%D 2026
%8 May
%I ELRA Language Resources Association (ELRA)
%C Palma, Mallorca (Spain)
%F valunaite-oleskeviciene-etal-2026-lexical
%X Lexical innovation refers to the process of creating new lexical items, enabling languages to adapt to evolving socio-cultural and material realities. The domains of business, economics, and finance are among the most productive ones of lexical innovation. The present research study lies at the intersection of lexical innovation, idiomaticity, and large language model (henceforth, LLM) research and investigates lexical productivity, semantic shift, and globalization (Anglocentric changes) in business-related colour idioms by comparing human translation and annotation with the output of LLMs. The current experiment involves an initial study carried out for five languages: English (the pivotal one), Albanian (AL), Hebrew (HE), Hungarian (HU), Lithuanian (LT), and Standard European Portuguese (PT). The research results reveal that LLMs show high mutual agreement, but the agreement with humans is lower. The internal consistency of LLMs reflects shared Anglocentric metaphor encoding rather than convergence toward human idiomatic usage. It demonstrates that human expertise remains essential for high-quality idiomatic translation, particularly for culture-specific expressions.
%R 10.63317/2c2wguvy6spu
%U https://aclanthology.org/2026.neollm-1.4/
%U https://doi.org/10.63317/2c2wguvy6spu
%P 39-46
Markdown (Informal)
[Lexical Innovation in Business Colour Idioms: Evidence from Large Language Models in Five Languages](https://aclanthology.org/2026.neollm-1.4/) (Valunaite Oleskeviciene et al., NeoLLM 2026)
ACL