Papers with word segmentation approach
Modeling Word Formation in English–German Neural Machine Translation (2020.acl-main)
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| Challenge: | linguistically sound word segmentation approaches overcome word formation problems . word-level approaches to MT lack morphological generalization for large vocabulary . |
| Approach: | They propose a word segmentation approach that considers fusional morphology to model word formation . they apply a linguistically sound segmentation method to both the source and target sides . |
| Outcome: | The proposed approach overcomes the problems caused by fusional morphology . the best system variants employ source-side morphological analysis and model complex target-side words . |