o que precisa para contribuir com o projeto

[leoalenc]

• listar as habilidades e competências para contribuir com o projeto

[leoalenc]

• GitHub, linguagem Markdown e controle de versão (versionamento de software)
• Latex (Overleaf) / bibliografia no formato bib
• Terminal do Linux, bash shell, bash scripts (.sh)
• Python (Como pensar como um cientista da computação,manual do John Zelle etc.)
• Navarro (2016): 13 lições
• Cruz (2011), Avila (2021)
• Teoria UD (Marneffe et al. 2021, publicações relacionadas ao projeto Porttinari etc.)
• tipologia linguística
• uso responsável de IA (do ponto de vista técnico e ético)

[leoalenc]

• atividades práticas de anotação e revisão de anotação de sentenças de nheengatu: 1 sentença por semana durante duas semanas, 2 sentenças durante duas semanas, três sentenças durante três semanas (15 ao todo)

[leoalenc]

Lista de leituras para 2026.1

@techreport{duran2021manual,
  title        = {Manual de Anotação de POS Tags: Orientações para Anotação de Etiquetas Morfossintáticas em Língua Portuguesa, Seguindo as Diretrizes da Abordagem Universal Dependencies (UD)},
  author       = {Magali Sanches Duran},
  number       = {434},
  institution  = {Universidade de São Paulo, Instituto de Ciências Matemáticas e de Computação},
  address      = {São Carlos, SP},
  year         = {2021},
  month        = {9},
  issn         = {0103-2569},
  series       = {Relatórios Técnicos}
}

@techreport{Duran2022,
  author       = {Magali Sanches Duran},
  title        = {Manual de Anotação de Relações de Dependência - Versão Revisada e Estendida: Orientações para anotação de relações de dependência sintática em Língua Portuguesa, seguindo as diretrizes da abordagem Universal Dependencies (UD)},
  institution  = {Universidade de São Paulo, Instituto de Ciências Matemáticas e de Computação, Núcleo Interinstitucional de Linguística Computacional (NILC)},
  year         = {2022},
  month        = {October},
  edition = {2},
  number       = {440},
  address      = {São Carlos, SP},
  issn         = {0103-2569},
  note         = {versão 2 revista e ampliada},
  url = {https://repositorio.usp.br/item/003100539},
  series       = {Relatórios Técnicos},
}

@inproceedings{straka-strakova-2017-tokenizing-k,
    title = "Tokenizing, {POS} Tagging, Lemmatizing and Parsing {UD} 2.0 with {UDP}ipe",
    author = "Straka, Milan  and
      Strakov{\'a}, Jana",
    editor = "Haji{\v{c}}, Jan  and
      Zeman, Dan",
    booktitle = "Proceedings of the {C}o{NLL} 2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies",
    month = aug,
    year = "2017",
    address = "Vancouver, Canada",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/K17-3009",
    doi = "10.18653/v1/K17-3009",
    pages = "88--99",
    abstract = "Many natural language processing tasks, including the most advanced ones, routinely start by several basic processing steps {--} tokenization and segmentation, most likely also POS tagging and lemmatization, and commonly parsing as well. A multilingual pipeline performing these steps can be trained using the Universal Dependencies project, which contains annotations of the described tasks for 50 languages in the latest release UD 2.0. We present an update to UDPipe, a simple-to-use pipeline processing CoNLL-U version 2.0 files, which performs these tasks for multiple languages without requiring additional external data. We provide models for all 50 languages of UD 2.0, and furthermore, the pipeline can be trained easily using data in CoNLL-U format. UDPipe is a standalone application in C++, with bindings available for Python, Java, C{\#} and Perl. In the CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies, UDPipe was the eight best system, while achieving low running times and moderately sized models.",
}

@inproceedings{straka-2018-udpipe-k,
    title = "{UDP}ipe 2.0 Prototype at {C}o{NLL} 2018 {UD} Shared Task",
    author = "Straka, Milan",
    editor = "Zeman, Daniel  and
      Haji{\v{c}}, Jan",
    booktitle = "Proceedings of the {C}o{NLL} 2018 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies",
    month = oct,
    year = "2018",
    address = "Brussels, Belgium",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/K18-2020",
    doi = "10.18653/v1/K18-2020",
    pages = "197--207",
    abstract = "UDPipe is a trainable pipeline which performs sentence segmentation, tokenization, POS tagging, lemmatization and dependency parsing. We present a prototype for UDPipe 2.0 and evaluate it in the CoNLL 2018 UD Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies, which employs three metrics for submission ranking. Out of 26 participants, the prototype placed first in the MLAS ranking, third in the LAS ranking and third in the BLEX ranking. In extrinsic parser evaluation EPE 2018, the system ranked first in the overall score.",
}

@inproceedings{lopes-pardo-2024-towards-k,
    title = "Towards {P}ortparser - a highly accurate parsing system for {B}razilian {P}ortuguese following the {U}niversal {D}ependencies framework",
    author = "Lopes, Lucelene  and
      Pardo, Thiago",
    editor = "Gamallo, Pablo  and
      others",
    booktitle = {Proceedings of the 16th {I}nternational {C}onference on {C}omputational {P}rocessing of {P}ortuguese},
    publisher = "Association for Computational Linguistics",
     year = {2024},
     month = mar,
     volume = {1},
     address = {Santiago de Compostela, Galicia, Spain},
    howpublished = "https://aclanthology.org/2024.propor-1.41",
    pages = "401--410",
}

@inproceedings{duran-nunes-pardo-2023,
 author = {Magali Duran and Maria das Graças Nunes and Thiago A. Pardo},
 title = { Construções sintáticas do português que desafiam a tarefa de parsing: uma análise qualitativa},
 booktitle = {Anais do XIV Simpósio Brasileiro de Tecnologia da Informação e da Linguagem Humana},
 location = {Belo Horizonte/MG},
 year = {2023},
 keywords = {},
 issn = {0000-0000},
 pages = {424--433},
 publisher = {SBC},
 address = {Porto Alegre, RS, Brasil},
 doi = {10.5753/stil.2023.25483},
 url = {https://sol.sbc.org.br/index.php/stil/article/view/25483}
}

@inproceedings{lopes-duran-pardo-2023,
 author = {Lucelene Lopes and Magali Duran and Thiago Alexandre Pardo},
 title = { Verifica-UD: a Verifier for Universal Dependencies Annotation for Portuguese},
 booktitle = {Anais do XIV Simpósio Brasileiro de Tecnologia da Informação e da Linguagem Humana},
 location = {Belo Horizonte/MG},
 year = {2023},
 keywords = {},
 issn = {0000-0000},
 pages = {443--452},
 publisher = {SBC},
 address = {Porto Alegre, RS, Brasil},
 doi = {10.5753/stil.2023.25485},
 url = {https://sol.sbc.org.br/index.php/stil/article/view/25485}
}

@inproceedings{pugh-etal-2022-universal-k,
    title = "{U}niversal {D}ependencies for Western Sierra {P}uebla {N}ahuatl",
    author = "Pugh, Robert  and
      Huerta Mendez, Marivel  and
      Sasaki, Mitsuya  and
      Tyers, Francis",
    editor = "Calzolari, Nicoletta  and
      B{\'e}chet, Fr{\'e}d{\'e}ric  and
      Blache, Philippe  and
      Choukri, Khalid  and
      Cieri, Christopher  and
      Declerck, Thierry  and
      Goggi, Sara  and
      Isahara, Hitoshi  and
      Maegaard, Bente  and
      Mariani, Joseph  and
      Mazo, H{\'e}l{\`e}ne  and
      Odijk, Jan  and
      Piperidis, Stelios",
    booktitle = "Proceedings of the Thirteenth Language Resources and Evaluation Conference",
    month = jun,
    year = "2022",
    address = "Marseille, France",
    publisher = "European Language Resources Association",
    url = "https://aclanthology.org/2022.lrec-1.535/",
    pages = "5011--5020",
    abstract = "We present a morpho-syntactically-annotated corpus of Western Sierra Puebla Nahuatl that conforms to the annotation guidelines of the Universal Dependencies project. We describe the sources of the texts that make up the corpus, the annotation process, and important annotation decisions made throughout the development of the corpus. As the first indigenous language of Mexico to be added to the Universal Dependencies project, this corpus offers a good opportunity to test and more clearly define annotation guidelines for the Meso-american linguistic area, spontaneous and elicited spoken data, and code-switching."
}

@inproceedings{smith-etal-2018-82-k,
    title = "82 Treebanks, 34 Models: {U}niversal {D}ependency Parsing with Multi-Treebank Models",
    author = "Smith, Aaron  and
      Bohnet, Bernd  and
      de Lhoneux, Miryam  and
      Nivre, Joakim  and
      Shao, Yan  and
      Stymne, Sara",
    editor = "Zeman, Daniel  and
      Haji{\v{c}}, Jan",
    booktitle = "Proceedings of the {C}o{NLL} 2018 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies",
    month = oct,
    year = "2018",
    address = "Brussels, Belgium",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/K18-2011/",
    doi = "10.18653/v1/K18-2011",
    pages = "113--123",
    abstract = "We present the Uppsala system for the CoNLL 2018 Shared Task on universal dependency parsing. Our system is a pipeline consisting of three components: the first performs joint word and sentence segmentation; the second predicts part-of-speech tags and morphological features; the third predicts dependency trees from words and tags. Instead of training a single parsing model for each treebank, we trained models with multiple treebanks for one language or closely related languages, greatly reducing the number of models. On the official test run, we ranked 7th of 27 teams for the LAS and MLAS metrics. Our system obtained the best scores overall for word segmentation, universal POS tagging, and morphological features."
}
@inproceedings{DeAlencar2024-PROPOR,
  author = "Leonel Figueiredo de Alencar",
  editor       = {Pablo Gamallo and
                  Daniela Claro and
                  Ant{\'{o}}nio J. S. Teixeira and
                  Livy Real and
                  Marcos Garc{\'{\i}}a and
                  Hugo Gon{\c{c}}alo Oliveira and
                  Raquel Amaro},
  title = {A {U}niversal {D}ependencies Treebank for {N}heengatu},
  booktitle    = {Proceedings of the 16th {I}nternational {C}onference on {C}omputational {P}rocessing of {P}ortuguese},
  pages = "37--54",
  volume = {2},
  publisher    = {Association for Computational Linguistics},
  year         = {2024},
month = mar,
  howpublished = "https://aclanthology.org/2024.propor-2.8",
  address = {Santiago de Compostela, Galicia, Spain},
    abstract="We present UD_Nheengatu-CompLin, the inaugural treebank for Nheengatu, an endangered Indigenous language of Brazil with limited digital resources. This treebank stands as the largest among Indigenous American languages in version 2.13 of the Universal Dependencies collection. The developmental version comprises 1,336 trees, encompassing 13,246 tokens and 13,374 words. In a 10-fold cross-validation experiment using UDPipe 1.2, parsing with gold tokenization and gold tags achieved a labeled attachment score (LAS) of 81.17 ± 1.02, outperforming Yauti, the rule-based analyzer employed for sentence annotation."
}

@article{DeAlencar2024-Texto-Livre,
  journal={Texto Livre},
  author={Leonel Figueiredo de Alencar},
  place={Belo Horizonte-MG},
  title={Aspectos da construção de um corpus sintaticamente anotado do nheengatu no modelo Dependências Universais},
  volume={17},
  url={https://periodicos.ufmg.br/index.php/textolivre/article/view/52653},
  DOI={10.1590/1983-3652.2024.52653},
  abstract={The alienation of natural language technologies adds up to the weakening of minority languages coexisting with majority languages. Especially younger speakers, who function as links in language transmission, tend to migrate to the language favored by these resources. Nheengatu, an endangered Brazilian indigenous language, has a digital support score of just 0.07 on the Digital Language Support (DLS) scale. This is significantly lower than the 0.97 score for Portuguese, to which Nheengatu has been continually losing speakers. The Nheengatu treebank of the Universal Dependencies collection aims to reduce this deficit by feeding the training of a neural parser. Initially released on 11/15/2023 with 196 sentences and 2,146 words, the latest version, as of 05/15/2024, comprises 1,470 sentences and 15,036 words from twenty publications spanning different historical phases of Nheengatu. This makes it the largest treebank for an Amerindian language in the collection. The use of an automatic analyzer facilitated the rapid expansion of the corpus, while human annotators reviewed each annotation to ensure a 100% validation rate, achieving a two-star rating, the highest for Amerindian language treebanks in the Universal Dependencies collection. The ongoing expansion and revision aim to include all public domain texts and achieve state-of-the-art parsing results.},
  year={2024},
  month={8},
  pages={e52653}
}

@inproceedings{nivre-etal-2016-universal-o,
    title = "{U}niversal {D}ependencies v1: A Multilingual Treebank Collection",
    author = "Nivre, Joakim  and
      de Marneffe, Marie-Catherine  and
      Ginter, Filip  and
      Goldberg, Yoav  and
      Haji{\v{c}}, Jan  and
      Manning, Christopher D.  and
      McDonald, Ryan  and
      Petrov, Slav  and
      Pyysalo, Sampo  and
      Silveira, Natalia  and
      Tsarfaty, Reut  and
      Zeman, Daniel",
    booktitle = "Proceedings of the Tenth International Conference on Language Resources and Evaluation ({LREC}'16)",
    month = 5,
    year = "2016",
    address = "Portoro{\v{z}}, Slovenia",
    publisher = "European Language Resources Association (ELRA)",
    url = "https://aclanthology.org/L16-1262",
    pages = "1659--1666",
}


@article{de-marneffe-etal-2021-universal-k,
    title = "{U}niversal {D}ependencies",
    author = "de Marneffe, Marie-Catherine  and
      Manning, Christopher D.  and
      Nivre, Joakim  and
      Zeman, Daniel",
    journal = "Computational Linguistics",
    volume = "47",
    number = "2",
    month = 6,
    year = "2021",
    address = "Cambridge, MA",
    publisher = "MIT Press",
    url = "https://aclanthology.org/2021.cl-2.11",
    doi = "10.1162/coli_a_00402",
    pages = "255--308"
}

@inproceedings{alencar2023-yauti,
 author = {Leonel Figueiredo de Alencar},
 title = {Yauti: A Tool for Morphosyntactic Analysis of {Nheengatu} within the {Universal Dependencies} Framework},
 booktitle = {Anais do XIV Simpósio Brasileiro de Tecnologia da Informação e da Linguagem Humana},
 location = {Belo Horizonte/MG},
 year = {2023},
 keywords = {},
 pages = {135--145},
 publisher = {SBC},
 address = {Porto Alegre, RS, Brasil},
 doi = {10.5753/stil.2023.234131},
 url = {https://sol.sbc.org.br/index.php/stil/article/view/25445}
}

@inproceedings{DeAlencar2025,
 author = {Leonel Figueiredo de Alencar},
 title = { Enhancing a Nheengatu Morphosyntactic Analyzer for Word Formation and Non-standard Language},
 booktitle = {Anais do XVI Simpósio Brasileiro de Tecnologia da Informação e da Linguagem Humana},
 location = {Fortaleza, Ceará},
 year = {2025},
 pages = {13--28},
 publisher = {SBC},
 address = {Porto Alegre, RS, Brasil},
 doi = {10.5753/stil.2025.37810},
 url = {https://sol.sbc.org.br/index.php/stil/article/view/37810}
}

@inproceedings{schuster2016,
 author = {Schuster, Sebastian and Manning, Christopher D.},
 booktitle = {Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC 2016)}, 
 title = {Enhanced {E}nglish {U}niversal {D}ependencies: An Improved Representation for Natural Language Understanding Tasks},
 year = {2016}
}

@inproceedings{Alencar2024-ELC,
  author    = {Alencar, Leonel Figueiredo de},
  title     = {UD\_Nheengatu-CompLin: o corpus sintaticamente anotado do nheengatu da coleção Universal Dependencies},
  booktitle = {Anais Eletrônicos do XVI Encontro de Linguística de Corpus e da XII Escola Brasileira de Linguística Computacional},
  year      = {2024},
  address   = {Brasília},
  publisher = {Associação Brasileira de Linguística de Corpus},
  pages     = {105--109},
  volume    = {1},
  eventtitle= {XVI Encontro de Linguística de Corpus (ELC)},
  venue     = {Brasília},
}

@inproceedings{schuster-manning-2016-enhanced-k,
    title = "Enhanced {E}nglish {U}niversal {D}ependencies: An Improved Representation for Natural Language Understanding Tasks",
    author = "Schuster, Sebastian  and
      Manning, Christopher D.",
    booktitle = "Proceedings of the Tenth International Conference on Language Resources and Evaluation ({LREC}'16)",
    month = may,
    year = "2016",
    address = "Portoro{\v{z}}, Slovenia",
    publisher = "European Language Resources Association (ELRA)",
    url = "https://aclanthology.org/L16-1376",
    pages = "2371--2378",
}

@inproceedings{martin-rodriguez-etal-2022-tupian-k,
    title = "Tup{\'\i}an Language Ressources: Data, Tools, Analyses",
    author = "Mart{\'\i}n Rodr{\'\i}guez, Lorena  and
      others",
    editor = "Melero, Maite  and
      Sakti, Sakriani  and
      Soria, Claudia",
    booktitle = "Proceedings of the 1st Annual Meeting of the ELRA/ISCA Special Interest Group on Under-Resourced Languages",
    month = jun,
    year = "2022",
    address = "Marseille, France",
    publisher = "European Language Resources Association",
    url = "https://aclanthology.org/2022.sigul-1.7",
    pages = "48--58",
    abstract = "TuLaR (Tupian Language Resources) is a project for collecting, documenting, analyzing, and developing computational and pedagogical material for low-resource Brazilian indigenous languages. It provides valuable data for language research regarding typological, syntactic, morphological, and phonological aspects. Here we present TuLaR{'}s databases, with special consideration to TuDeT (Tupian Dependency Treebanks), an annotated corpus under development for nine languages of the Tupian family, built upon the Universal Dependencies framework. The annotation within such a framework serves a twofold goal: enriching the linguistic documentation of the Tupian languages due to the rapid and consistent annotation, and providing computational resources for those languages, thanks to the suitability of our framework for developing NLP tools. We likewise present a related lexical database, some tools developed by the project, and examine future goals for our initiative.",
}