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    Uncertainty in deliberate lexical interventions

    Exploring Esperanto speakers’ opinions through corpora

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    Author(s)
    Maradan, Mélanie cc
    Language
    English
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    Abstract
    Language managers in their different forms (language planners, terminologists, professional neologists …) have long tried to intervene in the lexical usage of speakers, with various degrees of success: Some of their lexical items (partly) penetrate language use, others do not. Based on electronic networks of practice of the Esperanto speech community, Mélanie Maradan establishes the foundation for a new method to extract speakers’ opinions on lexical items from text corpora. The method is intended as a tool for language managers to detect and explore in context the reasons why speakers might accept or reject lexical items. Mélanie Maradan holds a master’s degree in translation and terminology from the University of Geneva/Switzerland as well as a joint doctoral degree in multilingual information processing and philosophy (Dr. phil.) from the universities of Geneva and Hildesheim/Germany. Her research interests include planned languages (Esperanto studies) as well as neology and corpus linguistics. She works as a professional translator and terminologist in Switzerland.
    URI
    https://library.oapen.org/handle/20.500.12657/43200
    Keywords
    deliberate lexical interventions; DLI; Esperanto; planned language; extralinguistic nature; linguistic nature; neologism; NLP; language management; language change
    DOI
    10.26530/20.500.12657/43200
    ISBN
    9783732906901, 9783732993000
    Publisher
    Frank & Timme
    Publisher website
    https://www.frank-timme.de/
    Publication date and place
    Berlin, 2020
    Series
    Sprachwissenschaft, 48
    Classification
    Sociolinguistics
    Semantics, discourse analysis, etc
    Psycholinguistics
    Computational linguistics
    Esperanto
    Pages
    372
    Rights
    https://creativecommons.org/licenses/by-nc-nd/4.0/
    • Imported or submitted locally

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    License

    • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

    Credits

    • logo EU
    • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

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