@inproceedings{barke-etal-2019-constraint,
title = "Constraint-based Learning of Phonological Processes",
author = "Barke, Shraddha and
Kunkel, Rose and
Polikarpova, Nadia and
Meinhardt, Eric and
Bakovic, Eric and
Bergen, Leon",
editor = "Inui, Kentaro and
Jiang, Jing and
Ng, Vincent and
Wan, Xiaojun",
booktitle = "Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)",
month = nov,
year = "2019",
address = "Hong Kong, China",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/D19-1639",
doi = "10.18653/v1/D19-1639",
pages = "6176--6186",
abstract = "Phonological processes are context-dependent sound changes in natural languages. We present an unsupervised approach to learning human-readable descriptions of phonological processes from collections of related utterances. Our approach builds upon a technique from the programming languages community called *constraint-based program synthesis*. We contribute a novel encoding of the learning problem into Boolean Satisfiability constraints, which enables both data efficiency and fast inference. We evaluate our system on textbook phonology problems and datasets from the literature, and show that it achieves high accuracy at interactive speeds.",
}
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%0 Conference Proceedings
%T Constraint-based Learning of Phonological Processes
%A Barke, Shraddha
%A Kunkel, Rose
%A Polikarpova, Nadia
%A Meinhardt, Eric
%A Bakovic, Eric
%A Bergen, Leon
%Y Inui, Kentaro
%Y Jiang, Jing
%Y Ng, Vincent
%Y Wan, Xiaojun
%S Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)
%D 2019
%8 November
%I Association for Computational Linguistics
%C Hong Kong, China
%F barke-etal-2019-constraint
%X Phonological processes are context-dependent sound changes in natural languages. We present an unsupervised approach to learning human-readable descriptions of phonological processes from collections of related utterances. Our approach builds upon a technique from the programming languages community called *constraint-based program synthesis*. We contribute a novel encoding of the learning problem into Boolean Satisfiability constraints, which enables both data efficiency and fast inference. We evaluate our system on textbook phonology problems and datasets from the literature, and show that it achieves high accuracy at interactive speeds.
%R 10.18653/v1/D19-1639
%U https://aclanthology.org/D19-1639
%U https://doi.org/10.18653/v1/D19-1639
%P 6176-6186
Markdown (Informal)
[Constraint-based Learning of Phonological Processes](https://aclanthology.org/D19-1639) (Barke et al., EMNLP-IJCNLP 2019)
ACL
- Shraddha Barke, Rose Kunkel, Nadia Polikarpova, Eric Meinhardt, Eric Bakovic, and Leon Bergen. 2019. Constraint-based Learning of Phonological Processes. In Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP), pages 6176–6186, Hong Kong, China. Association for Computational Linguistics.