These models are English to English translation engines trained on the Paraphrase Database. PPDB contains many different types of rules: lexical, phrasal, and syntactic. In addition, confidence measures computed over the entries have been used to filter the dataset at different thresholds, so that you can use only the highest-confidence rules (S) or get all of them (XXXL).
Update (January 3, 2017)
The models have been built and are in the process of being uploaded.
| Rule set | S | M | L | XL | XXL | XXXL |
|---|---|---|---|---|---|---|
| All Rules | general simple compress | general simple compress | general simple compress | general simple compress | general simple compress | |
| Lexical Rules | general simple compress | |||||
| Phrasal Rules | general simple compress |
For instructions on how to use language packs, please see the top-level Language Packs page.
Citations
Please cite the following paper if you use these models in your research.
@InProceedings{napoles-callisonburch-post:2016:N16-3,
author = {Napoles, Courtney and Callison-Burch, Chris and Post, Matt},
title = {Sentential Paraphrasing as Black-Box Machine Translation},
booktitle = {Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Demonstrations},
month = {June},
year = {2016},
address = {San Diego, California},
publisher = {Association for Computational Linguistics},
pages = {62--66},
url = {http://www.aclweb.org/anthology/N16-3013}
}Version History
- Version 1 (June 2016). Runtime: Joshua 6.1 snapshot.