Modeling Word Formation in English-German Neural Machine Translation

Weller-Di Marco, Marion and Fraser, Alexander (2020): Modeling Word Formation in English-German Neural Machine Translation. In: 58th Annual Meeting of the Association for Computational Linguistics (ACL 2020): pp. 4227-4232

Abstract

This paper studies strategies to model word formation in NMT using rich linguistic information, namely a word segmentation approach that goes beyond splitting into substrings by considering fusional morphology. Our linguistically sound segmentation is combined with a method for target-side inflection to accommodate modeling word formation. The best system variants employ source-side morphological analysis and model complex target-side words, improving over a standard system.

• Item Type: Journal article
• Faculties: Languages and Literatures > Department 2
• Subjects: 400 Language > 400 Language
• Language: English