| Challenge: | a new study advocates the use of bilingual corpora for sentence compression models . previous work focused on word deletion, while others view sentence compression as a general text rewriting problem. |
| Approach: | They propose to use bilingual corpora for training sentence compression models. |
| Outcome: | The proposed model can be trained for any language as long as a bilingual corpus is available . it performs arbitrary rewrites without access to compression specific data . |
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An Unsupervised Method for Building Sentence Simplification Corpora in Multiple Languages (2021.findings-emnlp)
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| Challenge: | Using parallel corpora, we train a single, direct NMT model for non-English language pairs. |
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Bilingual alignment transfers to multilingual alignment for unsupervised parallel text mining (2022.acl-long)
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A Simple Yet Effective Corpus Construction Method for Chinese Sentence Compression (2022.lrec-1)
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| Challenge: | Recent studies have highlighted the potential of exploiting parallel corpora to enhance multilingual large language models. |
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