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The Influence of Anglo-American Borrowings on the Current State of the French Language in French-Speaking Countries

2023· article· en· W4387048777 on OpenAlexaboutno aff
T.N. Sharapova, М. А. Федорова

Bibliographic record

VenueCurrent Issues in Philology and Pedagogical Linguistics · 2023
Typearticle
Languageen
FieldArts and Humanities
TopicLinguistics, Language Diversity, and Identity
Canadian institutionsnot available
Fundersnot available
KeywordsLinguisticsVocabularyComputer scienceLexiconForeign languageFirst languageLiterary languageHistoryArtificial intelligence

Abstract

fetched live from OpenAlex

The purpose of this study is to describe the language situation of the French-speaking countries in connection with the massive spread of Anglo-Americanisms and their influence on the current state of the modern French language. The research material covers 186 Anglo-American borrowings extracted from articles published and videos posted in French and Canadian periodicals, websites and forums. To achieve the purpose of the study, the following methods were used: the method of continuous sampling of the material, descriptive and comparative methods of the selected material analysis, comparative analysis of dictionary definitions, the method of contextual analysis, as well as the method of statistical data analysis. The results of the study showed that, penetrating into the French language, Anglo-Americanisms undergo lexical, morphological, graphic, syntactic and semantic assimilation in the recipient language. Lexical assimilation, in which Anglicisms are used by native French speakers without adaptation to its language system, is the most frequent phenomenon. The results of an online survey of native French speakers confirmed the following fact: a number of lexically assimilated Anglo-Americanisms most commonly used in everyday life were identified. The survey also revealed a high percentage of respondents inclined to using this layer of vocabulary in their native French language. The study also provides examples of regulatory documents and the names of some public organizations that counteract the penetration of foreign language vocabulary into the French language. An attempt is made to identify extra- and intra-linguistic factors of the integration of Anglicisms into different spheres of human activity. The authors give examples of parallel use of English borrowings and their French equivalents. In the study, the authors pay attention to the etymology of the term Franglais, give a classification of Anglo-American borrowings, as well as represent the ambiguous views of leading linguists and politicians of the French-speaking space regarding the reasons for the appearance of Franglais and their influence on the purity of the French language.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.019
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.531
Threshold uncertainty score0.989

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.019
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.081
GPT teacher head0.355
Teacher spread0.274 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2023
Admission routes1
Has abstractyes

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