Search Engine Guided Non-Parametric Neural Machine Translation

Understand

In this paper, we extend an attention-based neural machine translation (NMT) model by allowing it to access an entire training set of parallel sentence pairs even after training.

• The proposed approach consists of two stages.
• In the first stage--retrieval stage--, an off-the-shelf, black-box search engine is used to retrieve a small subset of sentence pairs from a training set given a source sentence.
• These pairs are further filtered based on a fuzzy matching score based on edit distance.