Papers by Dawn Knight
Towards a Welsh Semantic Annotation System (L18-1)
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| Challenge: | Automatic semantic annotation of natural language data is an important task in Natural Language Processing. |
| Approach: | They develop a Welsh semantic annotation tool that can be used to analyze Welsh text . it uses Lancaster's USAS semantic classification scheme to tag words with semantic tags . |
| Outcome: | The proposed tool can cover up to 91.78% of words in Welsh text. |
Introducing the Welsh Text Summarisation Dataset and Baseline Systems (2022.lrec-1)
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| Challenge: | Welsh is an official language in Wales and is spoken by an estimated 884,300 people . historically, the language has been in decline and represents a minority language in the country despite having official status . |
| Approach: | They introduce the first Welsh summarisation dataset which is available to researchers as a free resource. |
| Outcome: | The proposed summarisation system will be used as a benchmark for summarisers in other minority language contexts. |
Leveraging Lexical Resources and Constraint Grammar for Rule-Based Part-of-Speech Tagging in Welsh (L18-1)
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| Challenge: | POS tags are based on pre-annotated text, but there is not enough data to train a statistical POS tagger in lesser-resourced languages such as Welsh. |
| Approach: | They propose a rule-based POS tagger for Welsh based on the VISL Constraint Grammar parser and extract a list of possible POS tags for each word token in a running text. |
| Outcome: | The proposed approach is particularly useful in dealing with some of the specific intricacies of Welsh, such as morphological changes and word mutations. |
UniversalCEFR: Enabling Open Multilingual Research on Language Proficiency Assessment (2025.emnlp-main)
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Joseph Marvin Imperial, Abdullah Barayan, Regina Stodden, Rodrigo Wilkens, Ricardo Muñoz Sánchez, Lingyun Gao, Melissa Torgbi, Dawn Knight, Gail Forey, Reka R. Jablonkai, Ekaterina Kochmar, Robert Joshua Reynolds, Eugénio Ribeiro, Horacio Saggion, Elena Volodina, Sowmya Vajjala, Thomas François, Fernando Alva-Manchego, Harish Tayyar Madabushi
| Challenge: | Language proficiency research plays a central role in education and often intersects with advances in linguistics and AI. |
| Approach: | They propose a multilingual multidimensional dataset of texts annotated according to the CEFR scale in 13 languages. |
| Outcome: | The proposed dataset supports linguistic features and pretrained models in multilingual CEFR level assessment. |