数据集:
mac_morpho
任务:
标记分类子任务:
part-of-speech语言:
pt计算机处理:
monolingual大小:
10K<n<100K语言创建人:
found批注创建人:
expert-generated源数据集:
original许可:
cc-by-4.0Mac-Morpho is a corpus of Brazilian Portuguese texts annotated with part-of-speech tags. Its first version was released in 2003 [1], and since then, two revisions have been made in order to improve the quality of the resource [2, 3]. The corpus is available for download split into train, development and test sections. These are 76%, 4% and 20% of the corpus total, respectively (the reason for the unusual numbers is that the corpus was first split into 80%/20% train/test, and then 5% of the train section was set aside for development). This split was used in [3], and new POS tagging research with Mac-Morpho is encouraged to follow it in order to make consistent comparisons possible.
[1] Aluísio, S., Pelizzoni, J., Marchi, A.R., de Oliveira, L., Manenti, R., Marquiafável, V. 2003. An account of the challenge of tagging a reference corpus for brazilian portuguese. In: Proceedings of the 6th International Conference on Computational Processing of the Portuguese Language. PROPOR 2003
[2] Fonseca, E.R., Rosa, J.L.G. 2013. Mac-morpho revisited: Towards robust part-of-speech. In: Proceedings of the 9th Brazilian Symposium in Information and Human Language Technology – STIL
[3] Fonseca, E.R., Aluísio, Sandra Maria, Rosa, J.L.G. 2015. Evaluating word embeddings and a revised corpus for part-of-speech tagging in Portuguese. Journal of the Brazilian Computer Society.
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Portuguese
An example from the Mac-Morpho dataset looks as follows:
{ "id": "0", "pos_tags": [14, 19, 14, 15, 22, 7, 14, 9, 14, 9, 3, 15, 3, 3, 24], "tokens": ["Jersei", "atinge", "média", "de", "Cr$", "1,4", "milhão", "na", "venda", "da", "Pinhal", "em", "São", "Paulo", "."] }
The PoS tags correspond to this list:
"PREP+PROADJ", "IN", "PREP+PRO-KS", "NPROP", "PREP+PROSUB", "KC", "PROPESS", "NUM", "PROADJ", "PREP+ART", "KS", "PRO-KS", "ADJ", "ADV-KS", "N", "PREP", "PROSUB", "PREP+PROPESS", "PDEN", "V", "PREP+ADV", "PCP", "CUR", "ADV", "PU", "ART"
The data is split into train, validation and test set. The split sizes are as follow:
Train | Val | Test |
---|---|---|
37948 | 1997 | 9987 |
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Who are the source language producers?[More Information Needed]
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Who are the annotators?[More Information Needed]
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@article{fonseca2015evaluating, title={Evaluating word embeddings and a revised corpus for part-of-speech tagging in Portuguese}, author={Fonseca, Erick R and Rosa, Jo{\~a}o Lu{\'\i}s G and Alu{\'\i}sio, Sandra Maria}, journal={Journal of the Brazilian Computer Society}, volume={21}, number={1}, pages={2}, year={2015}, publisher={Springer} }
Thanks to @jonatasgrosman for adding this dataset.