About the workshop
The development of NLP technologies has created advancements in language-based applications. However, low resource languages like Gujarati, despite having significant number of speakers, has scarcity of linguistic resources and NLP tools. This workshop aims to address this gap by promoting the development of linguistic resources, models, and tools specific for the Gujarati language. The primary objective of this workshop is to bring together researchers, developers, linguists, and industry stakeholders to discuss the current challenges and potential solutions for building useful NLP tools for Gujarati. We aim to encourage the submission of research papers and tool demonstrations in this area.
Objectives of the workshop
Identify and Address Challenges in Gujarati NLP : The workshop will have a discussion to identify key challenges in building and deploying NLP tools for Gujarati, such as the morphological complexity of the language, the absence of standardized datasets, and the limitations of existing models in handling complex morphology.
Creation and Sharing of Linguistic Resources : A significant issue in Gujarati NLP development is the lack of large, annotated datasets. This workshop will promote the creation, standardization, and open sharing of linguistic resources, such as annotated corpora, lexicons, and syntactic trees. This will provide the foundation for developing more sophisticated models and systems.
Encourage the Development of Advanced NLP Tools for Gujarati : The workshop will focus on how the models capable of handling higher-level applications such as machine translation, automatic text summarization, sentiment analysis, and speech recognition for Gujarati can be developed using transformers and large language models.
Organizers