Abstract
Building on recent advances in semantic parsing and text simplification, we investigate the use of semantic splitting of the source sentence as preprocessing for machine translation. We experiment with a Transformer model and evaluate using large-scale crowd-sourcing experiments. Results show a significant increase in fluency on long sentences on an English-to-French setting with a training corpus of 5M sentence pairs, while retaining comparable adequacy.
| Original language | English |
|---|---|
| Title of host publication | COLING 2020 - SEM 2020 |
| Subtitle of host publication | 9th Conference on Lexical and Computational Semantics, Proceedings of the Conference |
| Editors | Iryna Gurevych, Marianna Apidianaki, Manaal Faruqui |
| Publisher | Association for Computational Linguistics (ACL) |
| Pages | 50-57 |
| Number of pages | 8 |
| ISBN (Electronic) | 9781952148323 |
| State | Published - 2020 |
| Event | 9th Joint Conference on Lexical and Computational Semantics, SEM 2020 - Hybrid, Barcelona, Spain Duration: 12 Dec 2020 → 13 Dec 2020 |
Publication series
| Name | COLING 2020 - SEM 2020: 9th Conference on Lexical and Computational Semantics, Proceedings of the Conference |
|---|
Conference
| Conference | 9th Joint Conference on Lexical and Computational Semantics, SEM 2020 |
|---|---|
| Country/Territory | Spain |
| City | Hybrid, Barcelona |
| Period | 12/12/20 → 13/12/20 |
Bibliographical note
Publisher Copyright:© 2020 COLING. All Rights Reserved.
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