33.1324, Calls: Applied Linguistics, Computational Linguistics, Text/Corpus Linguistics, Clinical Linguistics / Language Resources and Evaluation (Jrnl)

[The LINGUIST List]

LINGUIST List: Vol-33-1324. Wed Apr 13 2022. ISSN: 1069 - 4875.

Subject: 33.1324, Calls:  Applied Linguistics, Computational Linguistics, Text/Corpus Linguistics, Clinical Linguistics / Language Resources and Evaluation (Jrnl)

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Date: Wed, 13 Apr 2022 06:56:02
From: Gloria Gagliardi [gloria.gagliardi at unibo.it]
Subject: Applied Linguistics, Computational Linguistics, Text/Corpus Linguistics, Clinical Linguistics / Language Resources and Evaluation (Jrnl)

 
Full Title: Language Resources and Evaluation 


Linguistic Field(s): Applied Linguistics; Clinical Linguistics; Computational Linguistics; Text/Corpus Linguistics 

Call Deadline: 01-Sep-2022 

Special Issue: Language Resources for Clinical Linguistics 

Guest Editors: 
- Gloria Gagliardi, Dept. of Classical Philology and Italian Studies –
University of Bologna (main contact)
- Marta Maffia, Dept. of Literary, Linguistics and Comparative Studies –
University of Naples “L’Orientale”

In the last decades, a rich and growing body of research has explored the
linguistic correlates of medical conditions. While great advances have been
made in the profiling of “pathological” speech, several theoretical and
methodological issues are still unsolved. What do corpus-based studies of
speech and language disorders bring to the table in terms of description and
theory, with respect to standardized testing? Can “good practices” be
established for the elicitation, collection, transcription, and annotation of
clinical linguistic datasets? Since patients’ recordings, transcripts, and
written productions are “special categories of personal data” subjected to
stringent data-protection safeguards, is data reusability possible?

As a matter of fact, clinical linguistics experiences a chronic lack of
reliable data and a recurrent scattering of efforts in resource collection.
Furthermore, the approval by ethics committees usually limits the shareability
of clinically-valid corpora. Thus, research groups can only develop small
linguistic resources, usable for specific purposes explicitly authorized by
the research ethics boards.

In this framework, this special issue focuses on the methodologies for
collecting linguistic resources – corpora, lexica, database, ontologies – and
developing (computational) tools for the annotation of atypical language due
to neurodevelopmental or acquired disabilities (e.g., Developmental Language
Disorder, Autism, Aphasia, Mild Cognitive Impairment and Dementia, Parkinson's
Disease & Parkinsonism, Motor Neuron Disease). 

Topics of Interest:
The editors invite original, unpublished contributions on topics including but
not limited to:
- Corpus-based research in speech-language pathology: acquisition, creation,
annotation.
- Identification and use of language resources for clinical applications
(e.g., screening, diagnosis, monitoring, and phenotyping of language-related
disorders).
- Design of annotation tools for the analysis of ‘atypical’ verbal
productions.
- Legal and ethical aspects of language technology: good practices for the
collection, treatment, storage, sharing, and dissemination of linguistic data
from healthcare settings.

Important Dates
- Submissions due: 1 September 2022
- Author notification of acceptance: January 2023
- Final manuscripts submitted: June 2023

Submission
Please go to https://www.springer.com/journal/10579, follow the hyperlink
“Submit manuscript”, and upload all of your manuscript files following the
instructions given on the screen (please use the article type “S.I. : Language
Resources for Clinical Linguistics”).

More details (e.g., paper format, submission procedures, ethical
responsibilities of the authors, authorship, and compliance with ethical
standards) can be found at the journal website:
https://www.springer.com/journal/10579/submission-guidelines.

All enquiries regarding the special issue should be directed to Gloria
Gagliardi (gloria.gagliardi at unibo.it) and Marta Maffia (mmaffia at unior.it).




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