35.1337, Calls: Analysis of Linguistic VAriation for BEtter Tools

Fri Apr 26 02:05:10 UTC 2024

LINGUIST List: Vol-35-1337. Fri Apr 26 2024. ISSN: 1069 - 4875.

Subject: 35.1337, Calls: Analysis of Linguistic VAriation for BEtter Tools

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Date: 23-Apr-2024
From: Mathieu Dehouck [mathieu.dehouck at ens.psl.eu]
Subject: Analysis of Linguistic VAriation for BEtter Tools

Full Title: Analysis of Linguistic VAriation for BEtter Tools
Short Title: ALVABET

Date: 09-Sep-2024 - 14-Apr-2024
Location: Paris, France
Contact Person: Mathieu Dehouck
Meeting Email: mathieu.dehouck at ens.psl.eu
Web Site: https://llcd2024.sciencesconf.org/resource/page?id=18&forwar
d-action=page&forward-controller=resource&lang=en

Linguistic Field(s): Computational Linguistics; Historical
Linguistics; Morphology; Syntax; Text/Corpus Linguistics

Call Deadline: 30-Apr-2024

Meeting Description:

LLcD (Language and Languages at the crossroad of Disciplines) is a new
event for linguists, NLP practitioners, and any researcher interested
in language and languages to meet up and exchange.

ALVABET is a workshop collocated with the event.

The aim of this workshop is to question the cross-contributions of
Natural Language Processing and variation analysis in the fields of
morphosyntax and syntax.

Call for Papers:

Deadline Extension : April 30th

Call for Papers: Analysis of Linguistic VAriation for BEtter Tools
(ALVABET) within the LLcD 2024 Conference
(https://llcd2024.sciencesconf.org/)

Workshop

Variation plays a particularly important role in linguistic change,
since every change stem from a state of variation; but each state of
variation does not necessarily end up with a change: the new variant
can disappear, or variation can linger but in different contexts.
Access to sufficient amounts of data and their quantification, in
order to detect the emergence of new variants as precisely as
possible, and the recession or even disappearance of others, is a
precious tool for the study of variations, whatever their dimensions
(diachronic, diatopic, …) and in whatever field (syntax, morphology,
…). The appearance of large corpora has thus renewed the study of
variation. NLP has contributed largely to this renewal, providing
tools for the enrichment and the exploration of these corpora. In
return, linguistic analysis can help explain some of these errors and
thus deepen the picture where performance metrics tend to flatten out
everything under a single number, or even help improve the
performances.

NLP annotation tools, such as syntactic parsers and morphological
taggers, reach great performances nowadays when they are applied on
similar data to those seen during their development. However, they
quickly drop as the target data diverges from those of the training
scenario. This raises a number of issues when it comes to using
automatically annotated data to perform linguistic studies.

This workshop aims at exploring bilateral contributions between
Natural Language Processing and variation analysis in the fields of
morphosyntax and syntax, from diachronic and diatopic perspectives but
also from genre, domain or form of writing, without any restriction on
the languages of interest.

We warmly welcome submissions dealing with the issues and
contributions of applying NLP to variation analysis :

• Quantification of variation along its different dimensions (both
external and internal ones as well as in interaction with each other);

• Impact of annotation errors on the study of marginal structures
(emergent or recessing);

• Syntactic variation when it is induced by semantic changes.

But also submissions dealing with the contributions of variation
analysis to NLP:

• Variation mitigation (spelling standardisation...);

• Domain adaptation (domain referring here to any variation
dimension);

• Error analysis (in and out of domain) in light of known variation
phenomena, amongst which (de-)grammaticalisation;

• The evolution of grammatical categories and its impact on prediction
models;

• The place of variation studies in NLP in the large language model
era.

These themes are only suggestions and the workshop will gladly host
any submission that deals substantially with the reciprocal
contributions between NLP and variation analysis in the mentioned
fields.

Full workshop description:
https://llcd2024.sciencesconf.org/data/pages/WS12Eng.pdf

Important Dates

Apr 30, 2024: deadline for abstract submission for the workshop

May 15, 2024: Notification

Sep 9-11: Conference

Submissions

Abstracts must clearly state the research questions, approach, method,
data and (expected) results. They must be anonymous: not only must
they not contain the presenters' names, affiliations or addresses, but
they must avoid any other information that might reveal their
author(s). They should not exceed 500 words (including examples, but
excluding bibliographical references).

Abstracts will be assessed by two members of the Scientific Committee
and (one of) the workshop organizers.

On behalf of the ALVaBeT organizing committee,

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