32.3714, Software: MultiLingProfiler Version 2 (FR, DE, ES)

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Tue Nov 30 02:18:18 UTC 2021


LINGUIST List: Vol-32-3714. Mon Nov 29 2021. ISSN: 1069 - 4875.

Subject: 32.3714, Software: MultiLingProfiler Version 2 (FR, DE, ES)

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Date: Mon, 29 Nov 2021 21:00:16
From: Natalie Finlayson [natalie.finlayson at glasgow.ac.uk]
Subject: MultiLingProfiler Version 2 (FR, DE, ES)

 
Dear colleagues,

We are delighted to announce that Version 2 of MultiLingProfiler is now live.
MultiLingProfiler is an online, open access vocabulary profiling tool for LOTE
developed at the University of York in partnership with Prof. Laurence Anthony
(Waseda University), and funded by the Department for Education.

Following our most recent round of updates, users can now use the tool to:

- obtain text coverage information using lists of the 1,000, 2,000, 3,000,
4,000, and 5,000 most frequent word families in French, German and Spanish
- deselect grammar features (e.g., tenses, case forms) to reflect learners’
grammatical knowledge in the profile
- add words and word families to embedded word lists using the 'add to list'
function
- profile texts with a POS-annotated custom list (using TreeTagger tags)
- download statistical information about the words, word families and
multiword units in your text(s), including flemma-based frequency lists,
multi-level frequency-band profiles, and type/token ratios
- edit texts directly in the profiling window and copy the results into
another program
- explore the 5,000 most frequent word families in each language using the
‘Word Families’ tab
- profile texts using word lists aligned with National Centre for Excellence
for Language Pedagogy (NCELP) schemes of work up to the end of Term 2 of Year
9 (teachers following the syllabi can use the tool to ascertain which words in
a text have been taught at any given point in the school year).

The URL is here: https://www.multilingprofiler.net/

Please share with any colleagues in the MFL teaching, testing, materials or
research spheres who may find this useful.

With best wishes,
Natalie Finlayson, Emma Marsden, Giulia Bovolenta, Rachel Hawkes 
(University of York) 
and Laurence Anthony 
(Waseda University)

For recent activity, follow our project Twitter account: @MultiLingProf


Linguistic Field(s): Applied Linguistics
                     Computational Linguistics
                     General Linguistics
                     Language Acquisition
                     Text/Corpus Linguistics

Subject Language(s): French (fra)
                     German (deu)
                     Spanish (spa)



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