Papers by Harun Uz
Towards Automatic Grammatical Error Type Classification for Turkish (2023.eacl-srw)
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| Challenge: | Existing error types are not universal, resulting in many language specific variants. |
| Approach: | They propose to use a rule-based error type classification pipeline to classify edits into predefined error categories for Turkish . they propose to change existing error categories to suit the inflectional and derivational properties of the language . |
| Outcome: | The proposed system is evaluated on 106 annotated sentences and its performance is measured as 77.04% F0.5 score. |