A Comparison of Approaches to Document-level Machine Translation

Understand

Document-level machine translation conditions on surrounding sentences to produce coherent translations.

• There has been much recent work in this area with the introduction of custom model architectures and decoding algorithms.
• This paper presents a systematic comparison of selected approaches from the literature on two benchmarks for which document-level phenomena evaluation suites exist.
• We find that a simple method based purely on back-translating monolingual document-level data performs as well as much more elaborate alternatives, both in terms of document-level metrics as well as human evaluation.