Incorporating bilingual translation templates into neural machine translation.

ABSTRACT: In the neural machine translation (NMT) paradigm, transformer-based NMT has achieved great progress in recent years. It uses parallel corpus and is based on the stand end-to-end structure. Inspired by the process of translating sentences by translators and the success of templates in other natural language processing tasks, a new method is proposed to incorporate the bilingual translation templates into the Transformer-based NMT. Firstly, the template extraction method is proposed to generate the parallel templates corpus base on the constituency parse tree. Next, given a sentence to be translated, a fuzzy matching method is proposed to calculate the most possible target translation template from the parallel template corpus. Finally, an effective method is proposed to incorporate the bili

SUBMITTER: Li F 

PROVIDER: S-EPMC11828956 | biostudies-literature | 2025 Feb

REPOSITORIES: biostudies-literature