30.3393, Calls: Computational Linguistics, Language Documentation/France

[The LINGUIST List]

LINGUIST List: Vol-30-3393. Mon Sep 09 2019. ISSN: 1069 - 4875.

Subject: 30.3393, Calls: Computational Linguistics, Language Documentation/France

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Date: Mon, 09 Sep 2019 18:50:54
From: Emmanuel Schang [emmanuel.schang at univ-orleans.fr]
Subject: Scientific Meeting of the ''Computational, Formal & Field Linguistics'' Research Group

 
Full Title: Scientific Meeting of the ''Computational, Formal & Field Linguistics'' Research Group 
Short Title: LIFT2019 

Date: 28-Nov-2019 - 29-Nov-2019
Location: Orléans, France 
Contact Person: Emmanuel Schang
Meeting Email: emmanuel.schang at univ-orleans.fr
Web Site: https://gdr-lift.loria.fr/lift-kick-off-meeting-november-28-29-orleans/ 

Linguistic Field(s): Computational Linguistics; Language Documentation 

Call Deadline: 15-Sep-2019 

Meeting Description:

Scientific Meeting of the ''Computational, Formal & Field Linguistics''
Research Group
28-29 November 2019, Orléans

To this day, advances in computer linguistics have mainly led to the
development of applications: automatic translation, speech recognition and
synthesis, opinion detection, and so on. However, these technical advances (in
symbolic methods and automatic learning models) can also be used to facilitate
linguistic analysis: they allow for searching for generalizations and creating
falsifiable models, and they can also help with data collection and
management. For example, speech recognition technology can be leveraged to
facilitate the work of field linguists; machine translation and alignment
techniques can facilitate the creation of bilingual lexicons to document a
language; and analysis and generation algorithms can be used to validate
syntactic and lexical assumptions. Computer linguistics provides linguists
with a wide range of techniques and resources that open up new perspectives.

The objective of the scientific meeting is to promote interactions between the
three broad fields of (i) computational linguistics, (ii) formal linguistics
and (iii) field linguistics (“diversity linguistics”), in order to encourage
the development of linguistic research that makes the most of new
technologies.

The format of the Days will consist of:

- four plenary sessions: presentations by invited speakers
- poster sessions


Final Call for Papers:

EXTENDED DEADLINE! (15 September, 2019)

The Call for Abstracts (for posters) is open to all. Participation in the
Scientific Days is likewise open to all (presenters and non-presenters alike).
Registration is free but compulsory. Here is an open-ended list of topics:

- Feedback on the use and/or development of computer tools for linguistic
analysis
- Computer linguistics and open science: perspectives opened by sharing data,
tools and publications
- Formal computer and linguistic modelling (formal language theory,
unification grammars, proof theory…)
- Dialogue between linguistic models and automatic learning models (of all
types: generative and discriminating approaches, neural statistical
approaches, encoder-decoder approaches, etc.)
- Unsupervised or poorly supervised methods for the analysis of poorly
endowed, poorly written or undocumented languages
- Reflections on the automation of analysis and validation processes

Abstracts (2 to 4 pages) will be submitted via the SciencesConf platform, at
the following address: https://lift2019.sciencesconf.org/ (opening date: June
17).
The templates (OpenOffice or LaTeX) are available here:
https://mycore.core-cloud.net/index.php/s/9BW4fKCWlZq20Tj

The languages of the Scientific Days will be English and French. Abstracts may
be submitted in either language. For posters, if your poster is in French,
please provide an English summary and/or an English version to be distributed
on an A3 or A4 sheet.

Conference page:
https://gdr-lift.loria.fr/lift-kick-off-meeting-november-28-29-orleans/

Guest speakers:

Emily Bender, University of Washington
Sabrina Bendjaballah, Université de Nantes
Steven Bird, Charles Darwin University & Nawarddeken Academy & University of
California Berkeley
Michel Jacobson, Très Grande Infrastructure de Recherche Huma-Num




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