Towards a Framework for Etymological Analysis of Literary and AI Works

Etymology is a branch of linguistics concerned with finding the languages of origin of words, where the words may have evolved from an ancient language or are borrowed from an extant language. A recently proposed method of text and style analysis aims to determine the deeper layer of etymological distributions and features for characterizing text, in view of determination of style and authorship. Finding the etymological distribution adds to the complexity of text analysis. We discuss the complexity of this task and indicate ways of optimizing the etymological analysis. One way of balancing time and memory demands is to use an etymological dictionary in memory for the most used words in the language and searching over the Internet for the etymology of words that are probable hapax legomena in typical texts. A special topic treated is that of the etymological distribution of AI-generated texts.

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Publication Details

Published
2025-09-15
DOI
https://doi.org/10.1109/hpec67600.2025.11196131
Citations
1
Primary Topic
Natural Language Processing Techniques
Type
article
Field-Weighted Citation Impact
2.48
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article

Towards a Framework for Etymological Analysis of Literary and AI Works

Horia-Nicolai Teodorescu, Mike Horia Teodorescu, Cecilia Bolea
1 citations
Natural Language Processing Techniques
2.48
article

Towards a Framework for Etymological Analysis of Literary and AI Works

Horia-Nicolai Teodorescu, Mike Horia Teodorescu, Cecilia Bolea
article en
1 citations

Abstract

Etymology is a branch of linguistics concerned with finding the languages of origin of words, where the words may have evolved from an ancient language or are borrowed from an extant language. A recently proposed method of text and style analysis aims to determine the deeper layer of etymological distributions and features for characterizing text, in view of determination of style and authorship. Finding the etymological distribution adds to the complexity of text analysis. We discuss the complexity of this task and indicate ways of optimizing the etymological analysis. One way of balancing time and memory demands is to use an etymological dictionary in memory for the most used words in the language and searching over the Internet for the etymology of words that are probable hapax legomena in typical texts. A special topic treated is that of the etymological distribution of AI-generated texts.

University of Washington (US), Gheorghe Asachi Technical University of Iași (RO), Romanian Academy (RO), Seattle University (US)
Openalex Percentile: Top 8%
Natural Language Processing Techniques
2.48
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