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- license: cc-by-4.0
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ YAML tags:
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+
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+ annotations_creators:
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+ - expert-generated
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+ language:
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+ - ca
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+ language_creators:
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+ - found
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+ license:
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+ - cc-by-4.0
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+ multilinguality:
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+ - monolingual
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+ pretty_name: UD_Catalan-AnCora
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+ size_categories: []
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+ source_datasets: []
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+ tags: []
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+ task_categories:
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+ - token-classification
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+ task_ids:
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+ - part-of-speech
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+
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  ---
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+
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+
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+ # UD_Catalan-AnCora
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+
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+ ## Table of Contents
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+ - [Table of Contents](#table-of-contents)
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+ - [Dataset Description](#dataset-description)
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+ - [Dataset Summary](#dataset-summary)
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+ - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
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+ - [Languages](#languages)
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+ - [Dataset Structure](#dataset-structure)
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+ - [Data Instances](#data-instances)
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+ - [Data Fields](#data-fields)
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+ - [Data Splits](#data-splits)
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+ - [Dataset Creation](#dataset-creation)
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+ - [Curation Rationale](#curation-rationale)
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+ - [Source Data](#source-data)
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+ - [Annotations](#annotations)
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+ - [Personal and Sensitive Information](#personal-and-sensitive-information)
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+ - [Considerations for Using the Data](#considerations-for-using-the-data)
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+ - [Social Impact of Dataset](#social-impact-of-dataset)
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+ - [Discussion of Biases](#discussion-of-biases)
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+ - [Other Known Limitations](#other-known-limitations)
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+ - [Additional Information](#additional-information)
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+ - [Dataset Curators](#dataset-curators)
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+ - [Licensing Information](#licensing-information)
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+ - [Citation Information](#citation-information)
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+ - [Contributions](#contributions)
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+
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+
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+ ## Dataset Description
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+ - **Website:** https://github.com/UniversalDependencies/UD_Catalan-AnCora
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+ - **Point of Contact:** [Daniel Zeman]([email protected])
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+
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+
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+ ### Dataset Summary
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+
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+ This dataset are the annotations from the of the wellknown [AnCora corpus](http://clic.ub.edu/corpus/), projected on the [Universal Dependencies treebank](https://universaldependencies.org/).
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+
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+ ### Supported Tasks and Leaderboards
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+
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+ POS tagging
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+
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+ ### Languages
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+
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+ The dataset is in Catalan (`ca-CA`)
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+
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+ ## Dataset Structure
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+
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+ ### Data Instances
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+
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+ Three conllu files.
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+
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+ Annotations are encoded in plain text files (UTF-8, normalized to NFC, using only the LF character as line break, including an LF character at the end of file) with three types of lines:
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+
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+ 1) Word lines containing the annotation of a word/token in 10 fields separated by single tab characters (see below).
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+ 2) Blank lines marking sentence boundaries.
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+ 3) Comment lines starting with hash (#).
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+
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+ ### Data Fields
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+ Word lines contain the following fields:
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+
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+ 1) ID: Word index, integer starting at 1 for each new sentence; may be a range for multiword tokens; may be a decimal number for empty nodes (decimal numbers can be lower than 1 but must be greater than 0).
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+ 2) FORM: Word form or punctuation symbol.
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+ 3) LEMMA: Lemma or stem of word form.
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+ 4) UPOS: Universal part-of-speech tag.
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+ 5) XPOS: Language-specific part-of-speech tag; underscore if not available.
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+ 6) FEATS: List of morphological features from the universal feature inventory or from a defined language-specific extension; underscore if not available.
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+ 7) HEAD: Head of the current word, which is either a value of ID or zero (0).
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+ 8) DEPREL: Universal dependency relation to the HEAD (root iff HEAD = 0) or a defined language-specific subtype of one.
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+ 9) DEPS: Enhanced dependency graph in the form of a list of head-deprel pairs.
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+ 10) MISC: Any other annotation.
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+
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+ From: [https://universaldependencies.org](https://universaldependencies.org/guidelines.html)
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+
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+ ### Data Splits
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+
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+ - ca_ancora-ud-train.conllu
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+ - ca_ancora-ud-dev.conllu
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+ - ca_ancora-ud-test.conllu
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+
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+ ## Dataset Creation
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+
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+ ### Curation Rationale
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+ [N/A]
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+
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+ ### Source Data
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+
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+ - [UD_Catalan-AnCora](https://github.com/UniversalDependencies/UD_Catalan-AnCora)
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+
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+ #### Initial Data Collection and Normalization
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+
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+ The original annotation was done in a constituency framework as a part of the [AnCora project](http://clic.ub.edu/corpus/) at the University of Barcelona. It was converted to dependencies by the [Universal Dependencies team](https://universaldependencies.org/) and used in the CoNLL 2009 shared task. The CoNLL 2009 version was later converted to HamleDT and to Universal Dependencies.
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+ For more information on the AnCora project, visit the [AnCora site](http://clic.ub.edu/corpus/).
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+ To learn about the Universal Dependences, visit the webpage [https://universaldependencies.org](https://universaldependencies.org)
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+
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+ #### Who are the source language producers?
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+ For more information on the AnCora corpus and its sources, visit the [AnCora site](http://clic.ub.edu/corpus/).
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+
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+ ### Annotations
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+
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+ #### Annotation process
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+ For more information on the first AnCora annotation, visit the [AnCora site](http://clic.ub.edu/corpus/).
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+
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+ #### Who are the annotators?
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+
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+ For more information on the AnCora annotation team, visit the [AnCora site](http://clic.ub.edu/corpus/).
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+
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+ ### Personal and Sensitive Information
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+
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+ No personal or sensitive information included.
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+
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+ ## Considerations for Using the Data
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+
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+ ### Social Impact of Dataset
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+
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+ This dataset contributes to the development of language models in Catalan, a low-resource language.
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+
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+ ### Discussion of Biases
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+
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+ [N/A]
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+
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+ ### Other Known Limitations
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+
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+ [N/A]
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+
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+ ## Additional Information
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+
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+ ### Dataset Curators
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+
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+
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+
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+ ### Licensing Information
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+ This work is licensed under a <a rel="license" href="https://creativecommons.org/licenses/by/4.0/">CC Attribution 4.0 International License</a>.
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+
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+ ### Citation Information
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+ The following paper must be cited when using this corpus:
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+ Taulé, M., M.A. Martí, M. Recasens (2008) 'Ancora: Multilevel Annotated Corpora for Catalan and Spanish', Proceedings of 6th International Conference on Language Resources and Evaluation. Marrakesh (Morocco).
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+ To cite the Universal Dependencies project:
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+ Rueter, J. (Creator), Erina, O. (Contributor), Klementeva, J. (Contributor), Ryabov, I. (Contributor), Tyers, F. M. (Contributor), Zeman, D. (Contributor), Nivre, J. (Creator) (15 Nov 2020). Universal Dependencies version 2.7 Erzya JR. Universal Dependencies Consortium.
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