| Weller-Di Marco, Marion; 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 |
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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 |
| ID Code: | 88709 |
| Deposited On: | 25. Jan 2022 09:28 |
| Last Modified: | 25. Jan 2022 09:28 |
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