@inproceedings{1a175db023f446da96a523c1de0b6c9a,
title = "Semantic Structural Decomposition for Neural Machine Translation",
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.",
author = "Elior Sulem and Omri Abend and Ari Rappoport",
note = "Publisher Copyright: {\textcopyright} 2020 COLING. All Rights Reserved.; 9th Joint Conference on Lexical and Computational Semantics, SEM 2020 ; Conference date: 12-12-2020 Through 13-12-2020",
year = "2020",
month = jan,
day = "1",
language = "English",
series = "COLING 2020 - SEM 2020: 9th Conference on Lexical and Computational Semantics, Proceedings of the Conference",
publisher = "Association for Computational Linguistics (ACL)",
pages = "50--57",
editor = "Iryna Gurevych and Marianna Apidianaki and Manaal Faruqui",
booktitle = "COLING 2020 - SEM 2020",
address = "United States",
}