Deep Universal Dependencies is a collection of treebanks derived semi-automatically from Universal Dependencies (http://hdl.handle.net/11234/1-3226). It contains additional deep-syntactic and semantic annotations. Version of Deep UD corresponds to the version of UD it is based on. Note however that some UD treebanks have been omitted from Deep UD.
Deep Universal Dependencies is a collection of treebanks derived semi-automatically from Universal Dependencies (http://hdl.handle.net/11234/1-3424). It contains additional deep-syntactic and semantic annotations. Version of Deep UD corresponds to the version of UD it is based on. Note however that some UD treebanks have been omitted from Deep UD.
Deep Universal Dependencies is a collection of treebanks derived semi-automatically from Universal Dependencies (http://hdl.handle.net/11234/1-3687). It contains additional deep-syntactic and semantic annotations. Version of Deep UD corresponds to the version of UD it is based on. Note however that some UD treebanks have been omitted from Deep UD.
Texts in 107 languages from the W2C corpus (http://hdl.handle.net/11858/00-097C-0000-0022-6133-9), first 1,000,000 tokens per language, tagged by the delexicalized tagger described in Yu et al. (2016, LREC, Portorož, Slovenia).
Texts in 107 languages from the W2C corpus (http://hdl.handle.net/11858/00-097C-0000-0022-6133-9), first 1,000,000 tokens per language, tagged by the delexicalized tagger described in Yu et al. (2016, LREC, Portorož, Slovenia).
Changes in version 1.1:
1. Universal Dependencies tagset instead of the older and smaller Google Universal POS tagset.
2. SVM classifier trained on Universal Dependencies 1.2 instead of HamleDT 2.0.
3. Balto-Slavic languages, Germanic languages and Romance languages were tagged by classifier trained only on the respective group of languages. Other languages were tagged by a classifier trained on all available languages. The "c7" combination from version 1.0 is no longer used.
DOESTE v0.5 is a set of developmental corpora of texts written by Brazilian and Portuguese school-age children and adolescents. It is a work in progress.
The texts written by monolingual children and adolescents in European Portuguese were collected between September 2011 and January 2012, from different public schools in Lisbon (Portugal). It is composed of 244 narrative (n=122) and argumentative (n=122) texts. The subjects (51% female and 49% male) are students enroled in the 5th grade (n=52; mean age=10.19), in the 7th grade (n=92; mean age=12.33) and in the 10th grade (n=100; mean age=15.16) from the Portuguese basic schooling. The subcorpus of Portuguese texts is fully tokenized and morphologically annotated, in addition to presenting the sentence occurrences.
The texts written by monolingual children and adolescents in Brazilian Portuguese have been collected since 2017, from different public schools in three cities in Rio Grande do Norte (Brazil). It is currently composed of narrative (n=225) and argumentative (n=225) texts. The subjects (53% female and 47% male) are students enroled in the 5th grade (n=68; mean age=11.13), in the 9th grade (n=82; mean age=15.32) and in the 12th grade (n=224; mean age=17.96) from the Brazilian basic schooling. The subcorpora of Brazilian texts is still in the compilation, but a large part is already searchable, being tokenized and morphologically annotated. The Brazilian subcorpus also presents itself with the original transcripts, along original images.
Portuguese and Brazilian texts were collected from similar tasks:
Narrative-based task: Tell a remarkable story (real or imagined) that you and your best friend lived during the last school vacation.
Argumentative based-task: Do you think social networks (Facebook, Twitter, Google+, Windows Live Space, etc.) are important today? Write a text to be published on your school's blog where you express your opinion on social networks. In this text, you must say whether you are for or against the existence of social networks. Don't forget to justify your opinion!
The next version of DOESTE intends to present semantic annotations and clause and t-unit segmentation.
DOESTE v0.5 is developed and maintained by the Educational Linguistics Research Group (LEd), based at the Federal Rural University of the Semiarid Region (UFERSA).
DOESTE v0.5 by Mário Martins et al. is licensed under CC BY-NC-ND 4.0.
This corpora is part of Deliverable 5.5 of the European Commission project QTLeap FP7-ICT-2013.4.1-610516 (http://qtleap.eu).
The texts are sentences from the Europarl parallel corpus (Koehn, 2005). We selected the monolingual sentences from parallel corpora for the following pairs: Bulgarian-English, Czech-English, Portuguese-English and Spanish-English. The English corpus is comprised by the English side of the Spanish-English corpus.
Basque is not in Europarl. In addition, it contains the Basque and English sides of the GNOME corpus.
The texts have been automatically annotated with NLP tools, including Word Sense Disambiguation, Named Entity Disambiguation and Coreference resolution. Please check deliverable D5.6 in http://qtleap.eu/deliverables for more information.
HamleDT 2.0 is a collection of 30 existing treebanks harmonized into a common annotation style, the Prague Dependencies, and further transformed into Stanford Dependencies, a treebank annotation style that became popular recently. We use the newest basic Universal Stanford Dependencies, without added language-specific subtypes.