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UD Arabic NYUAD

Language: Arabic (code: ar)
Family: Afro-Asiatic, Semitic

This treebank has been part of Universal Dependencies since the UD v2.0 release.

The following people have contributed to making this treebank part of UD: Nizar Habash, Dima Taji.

Repository: UD_Arabic-NYUAD
Search this treebank on-line: PML-TQ
Download all treebanks: UD 2.2

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: news

Questions, comments? General annotation questions (either Arabic-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 [dima • taji (æt) nyu • 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	annotated manually in non-UD style, automatically converted to UD
UPOS	annotated manually in non-UD style, automatically converted to UD
XPOS	annotated manually
Features	annotated manually in non-UD style, automatically converted to UD
Relations	annotated manually in non-UD style, automatically converted to UD

Description

The NYUAD Arabic UD treebank is based on the Penn Arabic Treebank (PATB), parts 1, 2, and 3, through conversion to CATiB dependency trees.

The treebank consists of 19,738 sentences (738889 tokens), and its domain is mainly newswire. The annotation is licensed under the terms of CC BY-SA 4.0, and the original PATB can be obtained from the LDC’s official website.

The morphological and syntactic annotation of the NYUAD Arabic UD treebank is created through automatic conversion of the PATB data.

Acknowledgments

We would like to thank the Linguistic Data Consortium’s Arabic language group, and particularly Dr. Mohamed Maamouri and Drs Ann Bies and Seth Kulick, as well as the rest of the annotation team who participated in creating the Penn Arabic Treebank. We also would like to thank Reem Faraj, Ryan Roth and the annotators of the Columbia Arabic Treebank. The development of the the NYUAD Arabic UD treebank relied heavily on these two efforts.

Statistics of UD Arabic NYUAD

POS Tags

ADJ – ADP – ADV – AUX – CCONJ – DET – INTJ – NOUN – NUM – PART – PRON – PROPN – PUNCT – SCONJ – VERB – X

Features

AdpType – Aspect – Case – Definite – Gender – Mood – Number – NumForm – Person – Polarity – PronType – Voice

Relations

acl – advmod – amod – appos – aux – case – cc – ccomp – compound – conj – cop – csubj – dep – det – flat – flat:name – iobj – mark – nmod – nmod:poss – nsubj – nsubj:pass – nummod – obj – parataxis – punct – root – xcomp

Tokenization and Word Segmentation

• This corpus contains 19738 sentences, 629295 tokens and 738889 syntactic words.

• 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.

• This corpus contains 102571 multi-word tokens. On average, one multi-word token consists of 2.07 syntactic words.
• There are 0 types of multi-word tokens. Examples: .

Morphology

Tags

• This corpus uses 16 UPOS tags out of 17 possible: ADJ, ADP, ADV, AUX, CCONJ, DET, INTJ, NOUN, NUM, PART, PRON, PROPN, PUNCT, SCONJ, VERB, X
• This corpus does not use the following tags: SYM

• This corpus contains 1 word types tagged as particles (PART): _

• This corpus contains 31 lemmas tagged as pronouns (PRON): ", (, ), ,, ., 3, 9, ?, None, TBupdate, _, b, f, h, hA, hm, hmA, hn, k, km, kmA, kn, l, lA, m, mA, nA, ny, s, w, y

• This corpus contains 13 lemmas tagged as determiners (DET): ", ), ,, ., 17, 34, None, TBupdate, _, b, hA, l, w

• Out of the above, 11 lemmas occurred sometimes as PRON and sometimes as DET: ", ), ,, ., None, TBupdate, _, b, hA, l, w

• This corpus contains 20 lemmas tagged as auxiliaries (AUX): ", ,, ., >, Alhwrn, None, _, b, f, h, hA, hm, hmA, k, km, l, nA, s, w, y

• Out of the above, 18 lemmas occurred sometimes as AUX and sometimes as VERB: ", ,, ., None, _, b, f, h, hA, hm, hmA, k, km, l, nA, s, w, y

• This corpus does not use the VerbForm feature.

Nominal Features

• Gender

• Fem
  • ADJ: _
  • ADP: _
  • ADV: _
  • AUX: _
  • CCONJ: _
  • DET: _
  • NOUN: _
  • NUM: _
  • PART: _
  • PRON: _
  • PROPN: _
  • PUNCT: _
  • SCONJ: _
  • VERB: _
  • X: _

• Masc
  • ADJ: _
  • ADP: _
  • ADV: _
  • AUX: _
  • CCONJ: _
  • DET: _
  • INTJ: _
  • NOUN: _
  • NUM: _
  • PART: _
  • PRON: _
  • PROPN: _
  • PUNCT: _
  • SCONJ: _
  • VERB: _
  • X: _

• Number

• Dual
  • ADJ: _
  • ADP: _
  • ADV: _
  • AUX: _
  • CCONJ: _
  • DET: _
  • NOUN: _
  • NUM: _
  • PART: _
  • PRON: _
  • PROPN: _
  • PUNCT: _
  • SCONJ: _
  • VERB: _
  • X: _

• Plur
  • ADJ: _
  • ADP: _
  • ADV: _
  • AUX: _
  • CCONJ: _
  • DET: _
  • NOUN: _
  • NUM: _
  • PART: _
  • PRON: _
  • PROPN: _
  • PUNCT: _
  • SCONJ: _
  • VERB: _
  • X: _

• Sing
  • ADJ: _
  • ADP: _
  • ADV: _
  • AUX: _
  • CCONJ: _
  • DET: _
  • INTJ: _
  • NOUN: _
  • NUM: _
  • PART: _
  • PRON: _
  • PROPN: _
  • PUNCT: _
  • SCONJ: _
  • VERB: _
  • X: _

• Case

• Acc
  • ADJ: _
  • ADP: _
  • ADV: _
  • AUX: _
  • CCONJ: _
  • DET: _
  • NOUN: _
  • NUM: _
  • PART: _
  • PRON: _
  • PROPN: _
  • PUNCT: _
  • SCONJ: _
  • VERB: _
  • X: _

• Gen
  • ADJ: _
  • ADP: _
  • ADV: _
  • AUX: _
  • CCONJ: _
  • DET: _
  • INTJ: _
  • NOUN: _
  • NUM: _
  • PART: _
  • PRON: _
  • PROPN: _
  • PUNCT: _
  • SCONJ: _
  • VERB: _
  • X: _

• Nom
  • ADJ: _
  • ADP: _
  • ADV: _
  • AUX: _
  • CCONJ: _
  • DET: _
  • NOUN: _
  • NUM: _
  • PART: _
  • PRON: _
  • PROPN: _
  • PUNCT: _
  • SCONJ: _
  • VERB: _
  • X: _

• Definite

• Com
  • ADJ: _
  • ADP: _
  • ADV: _
  • AUX: _
  • CCONJ: _
  • DET: _
  • NOUN: _
  • NUM: _
  • PART: _
  • PRON: _
  • PROPN: _
  • PUNCT: _
  • SCONJ: _
  • VERB: _
  • X: _

• Def
  • ADJ: _
  • ADP: _
  • ADV: _
  • AUX: _
  • CCONJ: _
  • DET: _
  • NOUN: _
  • NUM: _
  • PART: _
  • PRON: _
  • PROPN: _
  • PUNCT: _
  • SCONJ: _
  • VERB: _
  • X: _

• Ind
  • ADJ: _
  • ADP: _
  • ADV: _
  • AUX: _
  • CCONJ: _
  • DET: _
  • INTJ: _
  • NOUN: _
  • NUM: _
  • PART: _
  • PRON: _
  • PROPN: _
  • PUNCT: _
  • SCONJ: _
  • VERB: _
  • X: _

Degree and Polarity

• Polarity

• Neg
  • ADJ: _
  • ADP: _
  • ADV: _
  • CCONJ: _
  • DET: _
  • NOUN: _
  • PART: _
  • PRON: _
  • PROPN: _
  • PUNCT: _
  • SCONJ: _
  • VERB: _
  • X: _

Verbal Features

• Aspect

• Imp
  • ADP: _
  • VERB: _

• Perf
  • ADP: _
  • VERB: _

• Mood

• Ind
  • ADJ: _
  • ADP: _
  • ADV: _
  • AUX: _
  • CCONJ: _
  • DET: _
  • NOUN: _
  • NUM: _
  • PART: _
  • PRON: _
  • PROPN: _
  • PUNCT: _
  • SCONJ: _
  • VERB: _
  • X: _

• Jus
  • ADJ: _
  • ADP: _
  • ADV: _
  • AUX: _
  • CCONJ: _
  • DET: _
  • NOUN: _
  • PART: _
  • PROPN: _
  • PUNCT: _
  • SCONJ: _
  • VERB: _
  • X: _

• Sub
  • ADJ: _
  • ADP: _
  • ADV: _
  • AUX: _
  • CCONJ: _
  • NOUN: _
  • NUM: _
  • PRON: _
  • PROPN: _
  • PUNCT: _
  • SCONJ: _
  • VERB: _
  • X: _

• Voice

• Act
  • ADJ: _
  • ADP: _
  • ADV: _
  • AUX: _
  • CCONJ: _
  • DET: _
  • NOUN: _
  • NUM: _
  • PART: _
  • PRON: _
  • PROPN: _
  • PUNCT: _
  • SCONJ: _
  • VERB: _
  • X: _

• Pass
  • ADP: _
  • ADV: _
  • CCONJ: _
  • NOUN: _
  • PART: _
  • PRON: _
  • PROPN: _
  • PUNCT: _
  • SCONJ: _
  • VERB: _
  • X: _

Pronouns, Determiners, Quantifiers

• PronType

• Dem
  • PRON: _

• Prs
  • PRON: _

• Rel
  • PRON: _

• Person

• 1
  • ADJ: _
  • ADP: _
  • ADV: _
  • AUX: _
  • CCONJ: _
  • DET: _
  • NOUN: _
  • PART: _
  • PRON: _
  • PROPN: _
  • PUNCT: _
  • SCONJ: _
  • VERB: _
  • X: _

• 2
  • ADJ: _
  • ADP: _
  • ADV: _
  • AUX: _
  • CCONJ: _
  • NOUN: _
  • PRON: _
  • PROPN: _
  • PUNCT: _
  • SCONJ: _
  • VERB: _
  • X: _

• 3
  • ADJ: _
  • ADP: _
  • ADV: _
  • AUX: _
  • CCONJ: _
  • DET: _
  • NOUN: _
  • NUM: _
  • PART: _
  • PRON: _
  • PROPN: _
  • PUNCT: _
  • SCONJ: _
  • VERB: _
  • X: _

Other Features

• AdpType
  • Prep
    • ADP: _

• NumForm
  • Digit
    • NUM: _
  • Word
    • NUM: _

Syntax

Auxiliary Verbs and Copula

• This corpus uses 14 lemmas as copulas (cop). Examples: _، l، f، ,، hm، nA، w، "، None، b، h، Alhwrn، hA، y.

• This corpus uses 20 lemmas as auxiliaries (aux). Examples: _، s، lA، l، w، None، >، h، ,، hA، mA، f، hm، .، "، (، -، km، m، nA.

Core Arguments, Oblique Arguments and Adjuncts

Here we consider only relations between verbs (parent) and nouns or pronouns (child).

• nsubj
  • VERB--NOUN (593)
  • VERB--NOUN-Acc (1765)
  • VERB--NOUN-Acc-ADP(_) (1)
  • VERB--NOUN-Gen (208)
  • VERB--NOUN-Gen-ADP(_) (15)
  • VERB--NOUN-Gen-ADP(b) (1)
  • VERB--NOUN-Gen-ADP(k) (2)
  • VERB--NOUN-Gen-ADP(l) (4)
  • VERB--NOUN-Nom (15642)
  • VERB--PRON (425)
  • VERB--PRON-ADP(_) (5)
  • VERB--PRON-Acc (37)
  • VERB--PRON-Gen (15)
  • VERB--PRON-Nom (511)

• obj
  • VERB--NOUN (503)
  • VERB--NOUN-ADP(_) (6)
  • VERB--NOUN-ADP(b) (1)
  • VERB--NOUN-ADP(typo) (1)
  • VERB--NOUN-Acc (16411)
  • VERB--NOUN-Acc-ADP(_) (2)
  • VERB--NOUN-Acc-ADP(k) (1)
  • VERB--NOUN-Acc-ADP(l) (1)
  • VERB--NOUN-Gen (700)
  • VERB--NOUN-Gen-ADP(_) (134)
  • VERB--NOUN-Gen-ADP(b) (24)
  • VERB--NOUN-Gen-ADP(k) (2)
  • VERB--NOUN-Gen-ADP(l) (19)
  • VERB--NOUN-Nom (380)
  • VERB--PRON (1019)
  • VERB--PRON-ADP(_) (32)
  • VERB--PRON-ADP(l) (1)
  • VERB--PRON-Acc (4174)
  • VERB--PRON-Gen (36)
  • VERB--PRON-Nom (14)

• iobj
  • VERB--NOUN (14)
  • VERB--NOUN-ADP(byskwn) (1)
  • VERB--NOUN-Acc (164)
  • VERB--NOUN-Acc-ADP(_) (9)
  • VERB--NOUN-Acc-ADP(w) (2)
  • VERB--NOUN-Gen (13)
  • VERB--NOUN-Gen-ADP(_) (17)
  • VERB--NOUN-Gen-ADP(b) (4)
  • VERB--NOUN-Gen-ADP(l) (3)
  • VERB--NOUN-Nom (25)
  • VERB--NOUN-Nom-ADP(h) (1)
  • VERB--PRON (27)
  • VERB--PRON-ADP(_) (8)
  • VERB--PRON-Acc (53)
  • VERB--PRON-Acc-ADP(_) (2)
  • VERB--PRON-Gen (2)

Relations Overview

• This corpus uses 3 relation subtypes: flat:name, nmod:poss, nsubj:pass
• The following 12 relation types are not used in this corpus at all: obl, vocative, expl, dislocated, advcl, discourse, clf, fixed, list, orphan, goeswith, reparandum

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