| Challenge: | Existing methods for automatic segmentation of Easy Read text have not been explored in detail. |
| Approach: | They propose automated methods for Easy Read segmentation that leverage masked and generative language models and constituent parsing to evaluate their viability. |
| Outcome: | The proposed methods are compared with human-driven segmentation in three languages. |
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