Papers by Kelsey Ball
Part-of-Speech Tagging for Code-Switched, Transliterated Texts without Explicit Language Identification (D18-1)
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| Challenge: | Code-switching is a challenge for NLP due to the lack of representative data for training models. |
| Approach: | They propose a model that is trained exclusively on monolingual resources but can be applied to unseen code-switched text at inference time. |
| Outcome: | The proposed model outperforms standard models on Hindi-English part-of-speech tagging and on unannotated code-switched text with alternate scripts. |