TransIns
Document Translation with Markup Reinsertion
TransIns uses the Okapi framework to parse documents of supported formats (MS Office, OpenOffice, HTML and plain text) into a representation that preserves the document markup and allows access to the document's text content on a sentence level. The sentences, without the markup, are translated by the neural machine translation framework MarianNMT using translation models provided by OPUS-MT. Afterwards, the markup is reinserted into the translated sentences based on token alignments. Finally, a translated document is provided in the original format. April 2023: We added a translation model for Wayuu (guc) to Spanish, as provided by Nora Graichen. We implement the following strategies for reinserting markup into the translated sentence using the tokens' alignments:- mtrain: A strategy assigning markup to the token next to it, as described in this paper of Matthias Müller and implemented in the Zurich NLP mtrain Python package
- mtrain++: An improved version of the mtrain strategy
- Complete Mapping Strategy (CMS): A strategy assigning markup to all tokens in the markup's scope
