34.2622, Confs: Untangling Associations - Advances in Collocation and Keyword Analysis

[The LINGUIST List]

LINGUIST List: Vol-34-2622. Mon Sep 04 2023. ISSN: 1069 - 4875.

Subject: 34.2622, Confs: Untangling Associations - Advances in Collocation and Keyword Analysis

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Date: 04-Sep-2023
From: Sascha Diwersy [sascha.diwersy at univ-montp3.fr]
Subject: Untangling Associations - Advances in Collocation and Keyword Analysis


Untangling Associations - Advances in collocation and keyword analysis

Date: 22-Sep-2023 - 22-Sep-2023
Location: Montpellier / Online
(https://univ-montp3-fr.zoom.us/j/95367941544), France
Contact: Sascha Diwersy
Contact Email: sascha.diwersy at univ-montp3.fr

Linguistic Field(s): Text/Corpus Linguistics

Meeting Description:

For the past few decades, assessing the adequacy of association
measures (AM) - be it in the domain of keywords, collocations or
collostructional analysis - has been one of the most important strands
of corpus linguistic research. Most of the work in this area focussed
on finding the one best measure as a trade off between statistical
appropriateness and ease of computational implementation, thus
reflecting the practice of corpus linguists predominantly favouring
data sets based on one single AM for the sake of simplicity. This
one-AM-fits-all approach, however, suffers from the fact that the most
consensual and widespread AMs, such as log-likelihood ratio (G2),
conflate different strands of information (viz. frequency and strength
of attraction), whereas data sets used to investigate association
phenomena (keywords of target corpora as well as lexical or
lexico-grammatical cooccurrence) should be designed to integrate
several distinct dimensions, as has been recently pointed out by
Stefan Th. Gries (2019, 2021).
Starting from Gries's proposal of the approach called "tupleization",
this conference will be the occasion to discuss the present state of
the art and possible innovations within the realm of methodological
frameworks and studies encompassing keyword, collocation or
collostruction analysis. It gathers scholars from different areas of
research ranging from corpus linguistics and NLP to Digital Humanities
and Textometrics as practised in the French tradition of Discourse
Analysis.
The conference will be held on Friday 22 September 2023 at Paul-Valéry
University Montpellier (campus Saint-Charles) and online via Zoom
(access link: https://univ-montp3-fr.zoom.us/j/95367941544).
Attendance is free of charge.

References
Gries, Stefan Th. (2019). 15 years of collostructions: Some long
overdue additions/corrections (to/of actually all sorts of
corpus-linguistics measures). International Journal of Corpus
Linguistics 24 (3), 385–412.
Gries, Stefan Th. (2021). A new approach to (key) keywords analysis:
Using frequency, and now also dispersion. Research in Corpus
Linguistics 9 (2), 1–33.

Program

10:00 - 11:00   Stefan Th. Gries:       Tupleization in corpus
linguistics: how and why
11:05 - 11:45   Martin Hilpert: Why are grammatical elements more
evenly dispersed than lexical elements? A reanalysis with a new
dispersion measure
11:45 - 12:25   Ludovic Lebart: Dealing with low frequencies or high
discrepancies of lexical frequencies: How to adapt the tools of
textual data analysis to corpora of poems and lyrics
12:30 - 14:15   Lunch
14:20 - 15:00   Bénédicte Pincemin:     The Specificity Measure in
Textometry: a Hermeneutic Use of the Fisher's Exact Test
15:00 - 15:40   Christof Schöch:        Evaluating Measures of
Keyness: A Perspective from Computational Literary Studies
15:40 - 16:20   Ludovic Tanguy & Filip Miletic: Measuring semantic
specificities across corpora: looking for semantic shifts in Quebec
English
16:20 - 17:00   Coffee break
17:00 - 18:00   Panel discussion



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