Persian Ezafe Recognition Using Transformers and Its Role in Part-Of-Speech Tagging (2020.findings-emnlp)
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| Challenge: | Ezafe is a grammatical particle in some Iranian languages that links two words together but is almost always not indicated in Persian script. |
| Approach: | They propose to use Persian ezafe to improve part-of-speech tagging by using transformer-based methods to achieve state-of the-art results. |
| Outcome: | The proposed methods achieve state-of-the-art in the task of ezafe recognition and show that they are not useful to transformer-based methods. |
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