Issue #112 -Translating markup tags in Neural Machine Translation
17 Dec20
Issue #112 -Translating markup tags in Neural Machine Translation
Author: Dr. Patrik Lambert, Senior Machine Translation Scientist @ Iconic
Introduction
Text to be translated is often encapsulated in structured documents containing inline tags in different formats, such as XML, HTML, Microsoft Word, PDF, XLIFF, etc. Transferring these inline tags into the target language is not a trivial task. However, it is a crucial component of the MT system, because a correct tag placement ensures a good readability of raw MT, and saves effort if post-editing is performed. Today, we take a look at a paper by Hanneman and Dinu (2020) comparing different tag placement approaches. They show that letting the neural MT model learn tag placement may be better than the commonly