Neural Machine Translation for Malayalam Paraphrase Generation
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arXiv
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| Hauptverfasser: | , , |
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| Format: | Preprint |
| Veröffentlicht: |
2024
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| _version_ | 1866909089364180992 |
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| author | Varghese, Christeena Koshelev, Sergey Yamshchikov, Ivan P. |
| author_facet | Varghese, Christeena Koshelev, Sergey Yamshchikov, Ivan P. |
| contents | This study explores four methods of generating paraphrases in Malayalam, utilizing resources available for English paraphrasing and pre-trained Neural Machine Translation (NMT) models. We evaluate the resulting paraphrases using both automated metrics, such as BLEU, METEOR, and cosine similarity, as well as human annotation. Our findings suggest that automated evaluation measures may not be fully appropriate for Malayalam, as they do not consistently align with human judgment. This discrepancy underscores the need for more nuanced paraphrase evaluation approaches especially for highly agglutinative languages. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2401_17827 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Neural Machine Translation for Malayalam Paraphrase Generation Varghese, Christeena Koshelev, Sergey Yamshchikov, Ivan P. Computation and Language Artificial Intelligence I.7.0; I.2.7 This study explores four methods of generating paraphrases in Malayalam, utilizing resources available for English paraphrasing and pre-trained Neural Machine Translation (NMT) models. We evaluate the resulting paraphrases using both automated metrics, such as BLEU, METEOR, and cosine similarity, as well as human annotation. Our findings suggest that automated evaluation measures may not be fully appropriate for Malayalam, as they do not consistently align with human judgment. This discrepancy underscores the need for more nuanced paraphrase evaluation approaches especially for highly agglutinative languages. |
| title | Neural Machine Translation for Malayalam Paraphrase Generation |
| topic | Computation and Language Artificial Intelligence I.7.0; I.2.7 |
| url | https://arxiv.org/abs/2401.17827 |