Papers by Nitin Venkateswaran
MASALA: Modelling and Analysing the Semantics of Adpositions in Linguistic Annotation of Hindi (2022.lrec-1)
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| Challenge: | Existing work on SNACS annotation for a variety of typologically diverse languages focuses on semantic role labelling and upstream applications in related languages. |
| Approach: | They propose to use the multilingual SNACS annotation scheme to attempt automatic labelling of SNAC supersenses in Hindi. |
| Outcome: | The proposed method is competitive with previous work on English and Gujarati. |
How Important is a Language Model for Low-resource ASR? (2024.findings-acl)
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| Challenge: | Using an n-gram language model in ASR may seem obvious, but its absence in most implementations suggests otherwise. |
| Approach: | They examine whether using an n-gram language model in ASR can improve accuracy in low-resource languages. |
| Outcome: | The proposed model is absent in most implementations, but it does improve accuracy in English and Mandarin. |