Modeling Word Formation in English-German Neural Machine Translation

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

• Dokumententyp: Zeitschriftenartikel
• Fakultät: Sprach- und Literaturwissenschaften > Department 2
• Themengebiete: 400 Sprache > 400 Sprache
• Sprache: Englisch