Formations CORLI aux outils linguistique de corpus

Nous apprenons que consortium CORLI reprend ses activités de formation avec une session qui se tiendra sur deux jours, les 13 et 14 décembre 2021, à l’Université de Paris (campus des Grands Moulins, ex Paris Diderot, Paris 75013). Huit modules de formation seront proposées, réparties sur quatre demi-journées (voir programme détaillé ci-après, extrait de leur annonce par e-mail).

Si vous êtes intéressé.e.s par ces formations, dépêchez-vous ! Le nombre de places sera limité pour chaque session. La demande d’inscription doit se faire au plus tard le 30/11 via le formulaire accessible ici.

Continuer la lecture

Written BNC2014

Good News!!!

Aujourd’hui, Lancaster University lance le Written BNC2014, qui vient compléter la nouvelle édition du British National Corpus. Voici comment ils le présentent (link) :

The British National Corpus 2014 (BNC2014) is a major project led by Lancaster University. We created a 100-million-word corpus (a large collection of ‘real life’ language) of present-day British English. This corpus can be used by researchers to understand more about how language works and how it is evolving. Educators, dictionary compilers and the interested public will also be able to access the corpus to find usage examples of modern British English in different genres.
The Spoken part of the corpus (10 million words) has already been released. We will be officially releasing the written part of the corpus (90 million words) on 19th November via #LancsBox X, a software package developed at Lancaster University. This will complete the BNC2014 project.

Pour une description complète du Written BNC2014 : The Written British National Corpus 2014 – design and comparability (degruyter.com)

*Image source : http://corpora.lancs.ac.uk/bnc2014/

Data visualization and analysis in second language research

Encore un livre dédié à l’usage de R pour visualiser et analyser des données, cette fois-ci avec une orientation “recherches en langue étrangère”. Un des favoris sur ma liste des lectures d’été.

Garcia, G. D. (2021) Data Visualization and Analysis in Second Language Research. S.l.: Routledge.
 

© Photo : evalac

Lancaster Summer Schools

For the past several years, I’ve been wanting to attend one of Lancaster University’s summer schools in corpus linguistics. This year, they are opening up several of their sessions for free to anyone who is interested in corpus linguistics. You can be sure that I’ll be attending!

These open session include (list copied and pasted from the Lancaster Summer Schools website):

  • A series of lectures on different topics and applications of corpus linguistics
  • A practical session on using #LancsBox to analyse different sets of language data
  • A symposium on Innovation in corpus linguistics

For anyone else who wants to join me, you can find all the information here: http://wp.lancs.ac.uk/corpussummerschools/open-events/.

I hope to see you there!

R & Python

Adrien Barbaresi présente une façon d’intégrer Python dans R. Voici le début de la publication sur son blogue Bits of Language: corpus linguistics, NLP and text analytics.

Why choose between R and Python?

R is a free software environment for statistical computing and graphics. Together with Python, it is part of the most popular languages among (data) scientists. Although both environments are similar, most people feel they face a choice between the two. The question “R vs Python, What should I learn?” resonates across the Internet. But why choose between them when you can choose both?

The reticulate package provides a comprehensive set of tools for seamless interoperability between Python and R. It basically allows for execution of Python code inside an R session, so that Python packages can be used with minimal adaptations, which is ideal for those who would rather operate from R than having to go back and forth between languages and environments.

Doing Linguistics with a Corpus

Doing Linguistics with a CorpusEgbert, Jesse, Tove Larsson, et Douglas Biber. 2020. Doing Linguistics with a Corpus: Methodological Considerations for the Everyday User (Elements in Corpus Linguistics). Cambridge: Cambridge University Press. doi:10.1017/9781108888790
 
A very well written and useful book. The general idea is that you always should keep in mind your linguistic research question and be aware that results obtained through corpus tools may create layers of abstraction between the data and the researcher. A basic understanding of what the tool does with your data (which changes it applies to them) is required. You should always come back to the original texts after obtaining results created with the help of statistical methods.
 
Some of my favorite quotes:
 
“we should always strive to choose minimally sufficiant statistical methods, meaning that we should choose tests that are no more no less sophisticated than the study design requires. (…) Even simple, seemingly straightforward statistical methods may lead to linguistically questionable conclusions caused by layers of abstraction between the data and the researcher” (p. 40).
 
“Statistical tests cannot replace linguistical analysis; they are, and should remain, tools that should assist the researcher in drawing linguistically valid conclusions” (p. 42).
 
“an ever-widening gap between the everyday user and the language contained in the corpus” (p. 70).
 
“end goal of turning corpus-based data into meaningful linguistic information” (p. 70).
 
[i]nformation is born when data are interpreted” (Stallings, 1989: 2) (p. 71).
 
“The two sides of any corpus-based linguistically meaningful quantitative analysis: the statistical analysis and the qualitative interpretation (…) through consideration of actual texts” (p. 72).

© Photo : evalac

Prise en main de R

Depuis deux séances, les membres du Club Corpus lisent ensemble des chapitres sélectionnés du livre cité ci-dessous pour prendre en main R, selon notre habitude de compagnonnage et entraide compréhensive et amicale. La prochaine séance aura lieu le 16 avril 2021 à 14h, par Zoom. Dans l’idéal, vous aurez lu les chapitres 2 et 3 avant cette date.

Desagulier, Guillaume. 2017. Corpus Linguistics and Statistics with R: Introduction to Quantitative Methods in Linguistics. 1st ed. 2017. Quantitative Methods in the Humanities and Social Sciences. Cham: Springer International Publishing : Imprint: Springer. https://doi.org/10.1007/978-3-319-64572-8.