Finlayson, Natalie Eloise, Marsden, Emma orcid.org/0000-0003-4086-5765 and Anthony, Laurence (2023) Introducing MultilingProfiler: An adaptable tool for analysing the vocabulary in French, German, and Spanish texts. System. 103122. ISSN 0346-251X
Abstract
Vocabulary profiling with computational tools and word lists is an established step in the development of pedagogical materials for learners of English. However, existing tools and word lists lack sensitivity to the orthographical, morphological, and grammatical systems of highly inflected and declined languages. This limits the degree to which lexical profiling can be usefully implemented in the creation of materials intended for use with beginner/low-intermediate learners of such languages who have only partial knowledge of these systems. In this article, we present MultilingProfiler, a vocabulary profiling tool designed to support nuanced profiling of texts in French, German, and Spanish. We introduce the concept of ‘bespoke’ word families tailored to the needs of learners at various stages of development, and outline key features of the tool that operationalise this concept (the functionality to select which inflected, derived, and multiword forms of headwords are included in the profile; sensitivity to orthographical systems; embedded word lists aligning with specific programs of study; and cumulative word lists that grow with learner knowledge). We present two case studies that find MultilingProfiler’s features to be effective in highlighting potential mismatches between the lexical demands of texts and the expected knowledge of learners, and consider applications of the tool in research methods.
Metadata
Item Type: | Article |
---|---|
Authors/Creators: |
|
Dates: |
|
Institution: | The University of York |
Academic Units: | The University of York > Faculty of Social Sciences (York) > Education (York) |
Depositing User: | Pure (York) |
Date Deposited: | 02 Oct 2023 09:20 |
Last Modified: | 07 Mar 2025 00:09 |
Published Version: | https://doi.org/10.1016/j.system.2023.103122 |
Status: | Published |
Refereed: | Yes |
Identification Number: | 10.1016/j.system.2023.103122 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:203820 |
Download
Filename: Finlayson_et_al._MLP_System_2023_published_version.pdf
Description: Finlayson et al._MLP_System 2023_published version
Licence: CC-BY 2.5