The workshop Processing Language Variation: Digital Armenian (DigitAm) will be held within the framework of the 2022 International Conference on Language Resources and Evaluation (LREC 2022), Marseille, France, afternoon June 20, 2022. DigitAm is in line with the international conference Digital Armenian first held in Paris in 2019 and is organized by the team of DALiH project: Digitizing Armenian Linguistic Heritage (DALiH): Armenian Multivariational Corpus and Data Processing.
Workshop Objectives
A significant gap exists for the availability of NLP resources for different languages with a few languages having quasi-complete NLP coverage and many others being under-resourced (or no-resourced at all). Besides, the under-resourced languages can often have variation either at synchronic (dialects, oral vernacular varieties) or diachronic level (ancient variants of a target language) for which resources can be completely absent especially if no written tradition exists for a target variety. The workshop will focus on processing and reutilization of NLP resources for under-resourced languages with variation in general, with a particular attention to the Armenian language data.
Current state-of-the-art NLP approaches open up remarkable perspectives not only to exploit the available NLP resources of the well-resourced languages for the under-resourced ones, but also to recycle the existing resources of a target language for its varieties (multivariational resources) instead of processing target language/variety-based new NLP resources from scratch.
Workshop Topics
Main workshop foci will be the interoperability of NLP and linguistic resources and tools in particular (but not limited to) for multivariational under-resourced languages, multivariational corpora designing and functionality, the evaluation of language scalar variation and the degree of interoperability relevance, language variety identification and distance measuring.
- interoperability of NLP and linguistic resources and tools in particular (but not limited to) for multivariational under-resourced languages /transfer learning to under-resourced language,
- morphological annotation resources
- syntactic annotation resources
- text-to-text alignment resources
- speech-to-text alignment resources
- multivariational corpora designing and functionality,
- the evaluation of language scalar variation and the degree of interoperability relevance,
- language variety identification and distance measuring,
- various linguistic resources and tools (dictionaries, electronic libraries, corpora, manuscript collation etc.) for under-resourced languages, in particular for Armenian (but not limited to).
Date : June 20th, 2022, après-midi
Organizing Committee
Victoria Khurshudyan, Inalco, Sedyl, CNRS
Anaid Donabedian, Inalco, Sedyl, CNRS
Chahan Vidal-Gorene, École Nationale des Chartes-PSL
Nadi Tomeh, LIPN, Université Sorbonne Paris Nord
Damien Nouvel, INALCO, ERTIM
Programme Committee
Victoria Khurshudyan, Inalco, Sedyl, CNRS, IRD
Anaid Donabedian, Inalco, Sedyl, CNRS, IRD
Chahan Vidal-Gorene, École Nationale des Chartes-PSL
Nadi Tomeh, LIPN, Université Sorbonne Paris Nord
Damien Nouvel, Inalco, ERTIM
Emmanuel Cartier, LIPN, Université Sorbonne Paris Nord
Thierry Charnois, LIPN, Université Sorbonne Paris Nord
Ilaine Wang, Inalco, ERTIM
Vladimir Plungian, Vinogradov Russian Language Institute, Russian Academy of Sciences
Timofey Arkhangelskiy, University of Hamburg