publication . Conference object . Other literature type . 2019

CMU's Machine Translation System for IWSLT 2019

Srinivasan, Tejas; Sanabria, Ramon; Metze, Florian;
Open Access English
  • Published: 02 Nov 2019
Abstract
In Neural Machine Translation (NMT) the usage of sub-􏰃words and characters as source and target units offers a simple and flexible solution for translation of rare and unseen􏰃 words. However, selecting the optimal subword segmentation involves a trade-off between expressiveness and flexibility, and is language and dataset-dependent. We present Block Multitask Learning (BMTL), a novel NMT architecture that predicts multiple targets of different granularities simulta- neously, removing the need to search for the optimal seg- mentation strategy. Our multi-task model exhibits improvements of up to 1.7 BLEU points on each decoder over single-task baseline models wi...
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Conference object . 2019
Provider: ZENODO
Zenodo
Other literature type . 2019
Provider: Datacite
Zenodo
Other literature type . 2019
Provider: Datacite
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