Apologies for cross-posting.
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 20, 2024: deadline for abstract submission (Workshops and General
session)
• 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.
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