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RLRL 2023 : 2nd Call - 1st workshop on the Readability for Low Resourced Language (RLRL 2023)


When Sep 5, 2023 - Sep 5, 2023
Where Online
Submission Deadline Aug 1, 2023
Notification Due Aug 10, 2023
Final Version Due Aug 1, 2023
Categories    computer science   machine learning (ml)   natural language processing (n   linguistics

Call For Papers

2nd Call for Abstracts: 1st Workshop on Readability for Low-Resourced Languages (RLRL 2023)

Free registration is now open - a few tickets are still available.

Please join us for an exciting online workshop where experts in natural language processing will come together to discuss the latest research and innovative approaches to assessing the readability of low-resource languages. The workshop will take place as a free online event on September 5, 2023, and is being hosted jointly by Lancaster University, Sheffield Hallam University and King Saud University.

We welcome researchers and practitioners to submit presentation abstract proposals of up to 500 words for talks related to the development of a Readability Framework for low-resource languages.

The ultimate goal of the workshop is to discuss best practices and state-of-the-art AI-based approaches to create mathematical representations of expected readability levels at different school grade or cognitive ability levels. The workshop will also focus on utilising classifiers that are intuitive for humans to understand and adjust, enabling the analysis and improvement of the decision-making criteria. We welcome abstracts on work that is still in progress or that does not yet have conclusive results. We encourage authors to share their work at various stages of development to facilitate discussions and collaboration during the workshop.

Important Dates:

- Due date for workshop abstract submission: August 1, 2023 (extended)

- Notification of abstract acceptance to authors: August 10, 2023

- Workshop date: September 5, 2023 (online event)

Keynote speakers:

- Professor Laurence Anthony - Faculty of Science and Engineering at Waseda University, Japan.

- Dr Violetta Cavalli-Sforza - School of Science and Engineering at Al Akhawayn University, Morocco.

- Professor Hend Al-Khalifa - College of Computer and Information Sciences at King Saud University, KSA

- Dr Abdel-Karim Al Tamimi- Computer Science and Software Engineering at Sheffield Hallam University, UK

- Dr Mo El-Haj - School of Computing and Communications at Lancaster University, UK

For list of speakers, talks' titles and abstract please visit the workshop’s website:

The main objectives of the workshop are three-fold:

1- Increase awareness of the importance of readability in low-resource languages and its impact on language learning and literacy.

2- Discuss the challenges of readability in low-resource languages, such as limited resources and lack of standardization, and brainstorm strategies for addressing these challenges.

3- Foster a community of practice among participants, allowing them to share their experiences and best practices for addressing readability issues in low-resource languages.

Abstract submission:

Abstract submission page is now open, please submit abstracts of no more than 500 words

Alternatively, you can contact the organisers directly with presentation ideas on topics related to readability or low-resourced languages.

Topics of interest include, but are not limited to:

- Machine learning for text readability

- Applications of readability assessment

- Readability in low-resource languages

- Comprehensibility measures

- Mathematical representations of readability levels

- Text simplification for low-resource languages

- Readability and comprehensibility in language learning

- The effects of text simplification on readability

- Readability frameworks for indigenous languages

- Updating readability representations

We look forward to your contributions and to a productive and enlightening workshop on September 5, 2023.

RLRL 2023 Organisers:

- Dr Mo El-Haj (SCC/DSI/UCREL, Lancaster University)

- Dr Abdel-Karim Al Tamimi (CSSE, Sheffield Hallam University)

- Prof. Hend Al Khalifa (iWAN, King Saud University)

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