Universal Dependencies for Learner English
Name
CBMM-Memo-052.pdf
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472.67 KB
Format
Adobe PDF
Checksum (MD5)
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Author(s)
Berzak, Yevgeni
Kenney, Jessica
Spadine, Carolyn
Wang, Jing Xian
Lam, Lucia
Mori, Keiko Sophie
Garza, Sebastian
Katz, Boris
Date Issued
August 1, 2016
Publisher
Center for Brains, Minds and Machines (CBMM), arXiv
Citation
arXiv:1605.04278v2 [cs.CL]
Series/Report no.
CBMM Memo Series;052
Abstract
We introduce the Treebank of Learner English (TLE), the first publicly available syntactic treebank for English as a Second Language (ESL). The TLE provides manually annotated POS tags and Universal Dependency (UD) trees for 5,124 sentences from the Cambridge First Certificate in English (FCE) corpus. The UD annotations are tied to a pre-existing error annotation of the FCE, whereby full syntactic analyses are provided for both the original and error corrected versions of each sentence. Further on, we delineate ESL annotation guidelines that allow for consistent syntactic treatment of ungrammatical English. Finally, we benchmark POS tagging and dependency parsing performance on the TLE dataset and measure the effect of grammatical errors on parsing accuracy. We envision the treebank to support a wide range of linguistic and computational research o n second language acquisition as well as automatic processing of ungrammatical language.
Subjects
Treebank of Learner English (TLE)
English as Second Language (ESL)
Universal Dependency (UD)
Cambridge First Certificate in English (FCE)
Terms of Use
Attribution-NonCommercial-ShareAlike 3.0 United States
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