Papers by Rahul Kejriwal
A Large-scale Evaluation of Neural Machine Transliteration for Indic Languages (2021.eacl-main)
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| Challenge: | We analyze multilingual transliteration for Indic languages using scripts derived from the ancient Brahmi script. |
| Approach: | They propose a multilingual training recipe for Indic languages that utilizes orthographic similarity between English and Indic. |
| Outcome: | The proposed training recipe improves multilingual transliteration for Indic languages. |
CharSpan: Utilizing Lexical Similarity to Enable Zero-Shot Machine Translation for Extremely Low-resource Languages (2024.eacl-short)
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| Challenge: | Existing models for ELRLs lack parallel corpora and monolingual corporata . authors propose novel character-span noise argumentation model to facilitate cross-lingual transfer . |
| Approach: | They propose a character-span noise argumentation model to facilitate cross-lingual transfer . they use character-size noise argumentations to regularize training data of HRL . |
| Outcome: | The proposed model outperforms baselines on closely related HRL-ELRL pairs from three different language families. |