Issue #123 – Integrating dictionaries to improve Neural MT
25 Mar21
Issue #123 – Integrating dictionaries to improve Neural MT
Author: Dr. Jingyi Han, Machine Translation Scientist @ Iconic
Introduction
How to integrate external knowledge into Neural Machine Translation (NMT) properly has always been an attractive topic for both industrial practice and academic research. It can be very useful for domain adaptation and human references integration. There have been some approaches that try to incorporate bilingual dictionaries into NMT: Qi et al. (2018) and Hamalainen and Alnajjar (2019) extended the model to generate translations from automatically extracted dictionaries; Post and Vilar (2018) tried to constrain the decoder to produce translation candidates from the dictionary; and Michon et al. (2020) applied placeholders complemented with morphosyntactic annotation