32.2550, Software: New Vocabulary Profiling Tool (FRA, DEU, SPA)

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Wed Aug 4 04:47:26 UTC 2021


LINGUIST List: Vol-32-2550. Wed Aug 04 2021. ISSN: 1069 - 4875.

Subject: 32.2550, Software: New Vocabulary Profiling Tool (FRA, DEU, SPA)

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Date: Wed, 04 Aug 2021 00:47:07
From: Natalie Finlayson [natalie.finlayson at york.ac.uk]
Subject: New Vocabulary Profiling Tool (FRA, DEU, SPA)

 
Dear colleagues,

We are delighted to announce the full launch of MultiLingProfiler, an online,
open access vocabulary profiling tool for French, German and Spanish,
developed at the University of York in partnership with Prof Laurence Anthony
(Waseda University) and funded by the Department for Education.

Users can use the tool to:

- obtain text coverage information using lists of the 1,000 and 2,000 most
frequent word families in French, German and Spanish
- add words and word families to embedded word lists using the 'add to list'
function
- profile texts using bespoke word lists using the 'custom list' function
- obtain statistical information about coverage, including type/token ratio,
using the information provided in the 'word statistics' and 'word family
statistics' tables
- edit texts directly in the profiling window and copy the results into
another program
- profile texts using word lists aligned with NCELP syllabi up to the end of
Term 1 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).

In our next round of updates in September 2021, we will add the following
features:

- option to profile texts using lists of the 3,000, 4,000 and 5,000 most
frequent words in each language
- downloadable, multi-level frequency-band profiles (CSV file).

MultiLingProfiler can be accessed at this link:
https://www.multilingprofiler.net/.
An video introducing MultiLingProfiler, including demos, can be found here:
https://www.youtube.com/watch?v=h1p8_WKC11A.
A PowerPoint version of the video with transcript can be downloaded here:
https://resources.ncelp.org/concern/resources/pr76f4519?locale=en.
For recent activity, follow our project Twitter account: @MultiLingProf.

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, Rachel Hawkes (University of York) and
Laurence Anthony (Waseda University)


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

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



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