Universal Dependencies for Learner English
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) corpu...
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| Tác giả chính: | , , , , , , , |
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| Định dạng: | Technical Report |
| Ngôn ngữ: | en_US |
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Center for Brains, Minds and Machines (CBMM), arXiv
2016
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| Truy cập trực tuyến: | http://hdl.handle.net/1721.1/103401 https://lib.cdythadong.edu.vn/handle/HDMC/24926 |
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CDYTHD-HDMC-249262024-12-03T14:41:58Z Universal Dependencies for Learner English Berzak, Yevgeni Kenney, Jessica Spadine, Carolyn Wang, Jing Xian Lam, Lucia Mori, Keiko Sophie Garza, Sebastian Katz, Boris Treebank of Learner English (TLE) English as Second Language (ESL) Universal Dependency (UD) Cambridge First Certificate in English (FCE) 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. This work was supported by the Center for Brains, Minds and Machines (CBMM), funded by NSF STC award CCF – 1231216. 2016-06-30T20:31:54Z 2016-06-30T20:31:54Z 2016-08-01 2023-04-13T10:03:45Z 2024-12-03T07:41:58Z 2023-04-13T10:03:45Z 2024-12-03T07:41:58Z Technical Report Working Paper Other http://hdl.handle.net/1721.1/103401 arXiv:1605.04278v2 [cs.CL] https://lib.cdythadong.edu.vn/handle/HDMC/24926 en_US CBMM Memo Series;052 Attribution-NonCommercial-ShareAlike 3.0 United States http://creativecommons.org/licenses/by-nc-sa/3.0/us/ application/pdf application/pdf CBMM-Memo-052.pdf Center for Brains, Minds and Machines (CBMM), arXiv https://lib.cdythadong.edu.vn/handle/HDMC/24926 |
| institution |
Trường Cao đẳng Y tế Hà Đông |
| collection |
DSpace |
| language |
en_US |
| topic |
Treebank of Learner English (TLE) English as Second Language (ESL) Universal Dependency (UD) Cambridge First Certificate in English (FCE) |
| spellingShingle |
Treebank of Learner English (TLE) English as Second Language (ESL) Universal Dependency (UD) Cambridge First Certificate in English (FCE) Berzak, Yevgeni Kenney, Jessica Spadine, Carolyn Wang, Jing Xian Lam, Lucia Mori, Keiko Sophie Garza, Sebastian Katz, Boris Universal Dependencies for Learner English |
| description |
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. |
| format |
Technical Report |
| author |
Berzak, Yevgeni Kenney, Jessica Spadine, Carolyn Wang, Jing Xian Lam, Lucia Mori, Keiko Sophie Garza, Sebastian Katz, Boris |
| author_facet |
Berzak, Yevgeni Kenney, Jessica Spadine, Carolyn Wang, Jing Xian Lam, Lucia Mori, Keiko Sophie Garza, Sebastian Katz, Boris |
| author_sort |
Berzak, Yevgeni |
| title |
Universal Dependencies for Learner English |
| title_short |
Universal Dependencies for Learner English |
| title_full |
Universal Dependencies for Learner English |
| title_fullStr |
Universal Dependencies for Learner English |
| title_full_unstemmed |
Universal Dependencies for Learner English |
| title_sort |
universal dependencies for learner english |
| publisher |
Center for Brains, Minds and Machines (CBMM), arXiv |
| publishDate |
2016 |
| url |
http://hdl.handle.net/1721.1/103401 https://lib.cdythadong.edu.vn/handle/HDMC/24926 |
| work_keys_str_mv |
AT berzakyevgeni universaldependenciesforlearnerenglish AT kenneyjessica universaldependenciesforlearnerenglish AT spadinecarolyn universaldependenciesforlearnerenglish AT wangjingxian universaldependenciesforlearnerenglish AT lamlucia universaldependenciesforlearnerenglish AT morikeikosophie universaldependenciesforlearnerenglish AT garzasebastian universaldependenciesforlearnerenglish AT katzboris universaldependenciesforlearnerenglish |
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1817535795568836608 |