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Jan 13, 2023 · In this paper, we present a simple but effective method to introduce TMs into neural machine translation (NMT) systems. Specifically, we treat ...
Jun 26, 2023 · In this paper, we present a simple but effective method to introduce TMs into neural machine translation (NMT) systems. Specifically, we treat ...
In this paper, we present a sim- ple but effective method to introduce TMs into neural ma- chine translation (NMT) systems. Specifically, we treat TMs as ...
Feb 7, 2023 · In this paper, we present a simple but effective method to introduce TMs into neural machine translation (NMT) systems.
May 22, 2022 · One can specify phrase translations, guarantee translation positions or alter word order by feeding the system with different prompts.
In this paper, we present a simple but effective method to introduce TMs into neural machine translation (NMT) systems. Specifically, we treat TMs as prompts to ...
In this paper, we present a simple but effective method to introduce TMs into neural machine translation (NMT) systems. Specifically, we treat TMs as prompts to ...
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May 27, 2023 · Using translation memories (TMs) as prompts is a promising approach to in-context learning of machine translation models. In this work, we take ...
Dec 11, 2022 · The key idea of retrieval-augmented NMT mainly includes two steps: a retrieval metric is used to retrieve similar translation pairs (i.e., TM), ...
Missing: Prompting | Show results with:Prompting
May 18, 2024 · How close are we to Prompting-Based LLM Translation? We analyze the advantages and disadvantages of Neural Machine Translation LLM ...