UD English ESL
Language: English (code: en
)
Family: Indo-European, Germanic
This treebank has been part of Universal Dependencies since the UD v1.3 release.
The following people have contributed to making this treebank part of UD: Yevgeni Berzak, Jessica Kenney, Carolyn Spadine, Jing Xian Wang, Lucia Lam, Keiko Sophie Mori, Sebastian Garza, Boris Katz, Margarita Misirpashayeva.
Repository: UD_English-ESL
Search this treebank on-line: PML-TQ
Download all treebanks: UD 2.11
License: CC BY-SA 4.0. The underlying text is not included; the user must obtain it separately and then merge with the UD annotation using a script distributed with UD
Genre: learner-essays
Questions, comments? General annotation questions (either English-specific or cross-linguistic) can be raised in the main UD issue tracker. You can report bugs in this treebank in the treebank-specific issue tracker on Github. If you want to collaborate, please contact [berzak (æt) mit • edu]. Development of the treebank happens outside the UD repository. If there are bugs, either the original data source or the conversion procedure must be fixed. Do not submit pull requests against the UD repository.
Annotation | Source |
---|---|
Lemmas | not available |
UPOS | annotated manually, natively in UD style |
XPOS | annotated manually |
Features | not available |
Relations | annotated manually, natively in UD style |
Description
UD English-ESL / Treebank of Learner English (TLE) contains manual POS tag and dependency annotations for 5,124 English as a Second Language (ESL) sentences drawn from the Cambridge Learner Corpus First Certificate in English (FCE) dataset.
UD English-ESL/TLE is a collection of 5,124 English as a Second Language (ESL) sentences (97,681 words), manually annotated with POS tags and dependency trees in the Universal Dependencies formalism. Each sentence is annotated both in its original and error corrected forms. The annotations follow the standard English UD guidelines, along with a set of supplementary guidelines for ESL. The dataset represents upper-intermediate level adult English learners from 10 native language backgrounds, with over 500 sentences for each native language. The sentences were randomly drawn from the Cambridge Learner Corpus First Certificate in English (FCE) corpus. The treebank is split randomly to a training set of 4,124 sentences, development set of 500 sentences and a test set of 500 sentences.
A query engine and further information on the treebank is available at
Acknowledgments
The dataset and the annotation guidelines were developed at MIT by Yevgeni Berzak, Jessica Kenney, Carolyn Spadine, Jing Xian Wang, Lucia Lam, Keiko Sophie Mori, Sebastian Garza, Boris Katz and Margarita Misirpashayeva.
Statistics of UD English ESL
POS Tags
ADJ – ADP – ADV – AUX – CCONJ – DET – INTJ – NOUN – NUM – PART – PRON – PROPN – PUNCT – SCONJ – SYM – VERB – X
Features
Relations
acl – acl:relcl – advcl – advmod – amod – appos – aux – aux:pass – case – cc – cc:preconj – ccomp – compound – compound:prt – conj – cop – csubj – csubj:pass – det – det:predet – discourse – dislocated – expl – fixed – flat – goeswith – iobj – list – mark – nmod – nmod:npmod – nmod:poss – nsubj – nsubj:pass – nummod – obj – obl – obl:npmod – obl:tmod – orphan – parataxis – punct – reparandum – root – vocative – xcomp
Tokenization and Word Segmentation
- This corpus contains 5124 sentences and 97681 tokens.
- All tokens in this corpus are followed by a space.
- This corpus does not contain words with spaces.
- This corpus does not contain words that contain both letters and punctuation.
Morphology
Tags
- This corpus uses 17 UPOS tags out of 17 possible: ADJ, ADP, ADV, AUX, CCONJ, DET, INTJ, NOUN, NUM, PART, PRON, PROPN, PUNCT, SCONJ, SYM, VERB, X
- This corpus contains 1 word types tagged as particles (PART): _
- This corpus contains 1 lemmas tagged as pronouns (PRON): _
- This corpus contains 1 lemmas tagged as determiners (DET): _
- Out of the above, 1 lemmas occurred sometimes as PRON and sometimes as DET: _
- This corpus contains 1 lemmas tagged as auxiliaries (AUX): _
- Out of the above, 1 lemmas occurred sometimes as AUX and sometimes as VERB: _
- This corpus does not use the VerbForm feature.
Nominal Features
Degree and Polarity
- Neg
- ADV: _
- DET: _
- PART: _
Verbal Features
Pronouns, Determiners, Quantifiers
Other Features
- Foreign
- Yes
- NOUN: _
- X: _
- Yes
Syntax
Auxiliary Verbs and Copula
- This corpus uses 1 lemmas as copulas (cop). Examples: _.
- This corpus uses 1 lemmas as auxiliaries (aux). Examples: _.
- This corpus uses 1 lemmas as passive auxiliaries (aux:pass). Examples: _.
Core Arguments, Oblique Arguments and Adjuncts
Here we consider only relations between verbs (parent) and nouns or pronouns (child).
- nsubj
- VERB--NOUN (1345)
- VERB--NOUN-ADP(_) (4)
- VERB--PRON (5886)
- VERB--PRON-ADP(_) (2)
- obj
- VERB--NOUN (3746)
- VERB--NOUN-ADP(_) (21)
- VERB--PRON (1248)
- VERB--PRON-ADP(_) (6)
- iobj
- VERB--NOUN (14)
- VERB--PRON (190)
Relations Overview
- This corpus uses 11 relation subtypes: acl:relcl, aux:pass, cc:preconj, compound:prt, csubj:pass, det:predet, nmod:npmod, nmod:poss, nsubj:pass, obl:npmod, obl:tmod
- The following 2 relation types are not used in this corpus at all: clf, dep