98 citations · 175 across the 7 of their papers we have counts for
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cs.CL2018★ 98 cited
UniMorph 2.0: Universal Morphology
Christo Kirov, Ryan Cotterell, John Sylak-Glassman +10
The Universal Morphology UniMorph project is a collaborative effort to improve how NLP handles complex morphology across the world's languages. The project releases annotated morph…
cs.CL2018★ 1 cited
Detecting Syntactic Features of Translated Chinese
Hai Hu, Wen Li, Sandra Kübler
We present a machine learning approach to distinguish texts translated to Chinese (by humans) from texts originally written in Chinese, with a focus on a wide range of syntactic fe…