Papers by Sabyasachi Ghosh
Parallel Iterative Edit Models for Local Sequence Transduction (D19-1)
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| Challenge: | Recent approaches to local sequence transduction are based on the popular encoder-decoder model for sequence to sequence learning. |
| Approach: | They propose a parallel iterative edit model for the problem of local sequence transduction arising in tasks like Grammatical error correction (GEC). |
| Outcome: | The proposed model is faster and more accurate than the current encoder-decoder model for local sequence transduction tasks like translation and paraphrasing. |
Beyond Common Words: Enhancing ASR Cross-Lingual Proper Noun Recognition Using Large Language Models (2024.findings-emnlp)
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| Challenge: | In this work, we address the challenge of cross-lingual proper noun recognition in automatic speech recognition systems where proper nodes in an utterance may originate from a language different from the language in which the ASR system is trained. |
| Approach: | They propose a dictionary-based method to correct ASR predictions in a large language model . |
| Outcome: | The proposed method significantly reduces word error rates across cross-lingual proper noun recognition tasks involving three secondary languages. |