Summary of Delta: An Online Document-level Translation Agent Based on Multi-level Memory, by Yutong Wang et al.
DelTA: An Online Document-Level Translation Agent Based on Multi-Level Memory
by Yutong Wang, Jiali Zeng, Xuebo Liu, Derek F. Wong, Fandong Meng, Jie Zhou, Min Zhang
First submitted to arxiv on: 10 Oct 2024
Categories
- Main: Computation and Language (cs.CL)
- Secondary: Artificial Intelligence (cs.AI)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary This paper introduces DelTA, a document-level translation agent designed to overcome limitations in maintaining translation consistency and accuracy when processing entire documents. The proposed model features a multi-level memory structure that stores information across various granularities and spans. Experimental results show that DelTA significantly outperforms strong baselines in terms of translation consistency and quality across four open/closed-source LLMs and two representative document translation datasets, achieving an increase in consistency scores by up to 4.58 percentage points and in COMET scores by up to 3.16 points on average. DelTA employs a sentence-by-sentence translation strategy, ensuring no sentence omissions and offering a memory-efficient solution compared to the mainstream method. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper is about a new way to translate documents using large language models (LLMs). Right now, most research on document translation still has some big problems when it comes to keeping translations consistent and accurate. The authors of this paper introduce DelTA, a special kind of LLM that can store information at different levels and spans. They tested DelTA with four different types of LLMs and two kinds of documents, and it did much better than other methods. DelTA is also good at translating sentences that contain pronouns or require context to understand. |
Keywords
» Artificial intelligence » Translation
