The Galactic Dependencies Treebanks: Getting More Data by Synthesizing New Languages
October 10, 2017 ยท Declared Dead ยท ๐ Transactions of the Association for Computational Linguistics
"No code URL or promise found in abstract"
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Authors
Dingquan Wang, Jason Eisner
arXiv ID
1710.03838
Category
cs.CL: Computation & Language
Citations
60
Venue
Transactions of the Association for Computational Linguistics
Last Checked
5 months ago
Abstract
We release Galactic Dependencies 1.0---a large set of synthetic languages not found on Earth, but annotated in Universal Dependencies format. This new resource aims to provide training and development data for NLP methods that aim to adapt to unfamiliar languages. Each synthetic treebank is produced from a real treebank by stochastically permuting the dependents of nouns and/or verbs to match the word order of other real languages. We discuss the usefulness, realism, parsability, perplexity, and diversity of the synthetic languages. As a simple demonstration of the use of Galactic Dependencies, we consider single-source transfer, which attempts to parse a real target language using a parser trained on a "nearby" source language. We find that including synthetic source languages somewhat increases the diversity of the source pool, which significantly improves results for most target languages.
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