The Universal Dependencies (UD) project seeks to develop cross-linguistically consistent treebank annotation of morphology and syntax for multiple languages. The first version of the dataset was released in 2015 and consisted of 10 treebanks over 10 languages. Version 2.7 released in 2020 consists of 183 treebanks over 104 languages. The annotation consists of UPOS (universal part-of-speech tags), XPOS (language-specific part-of-speech tags), Feats (universal morphological features), Lemmas, dependency heads and universal dependency labels.
505 PAPERS • 12 BENCHMARKS
WikiANN, also known as PAN-X, is a multilingual named entity recognition dataset. It consists of Wikipedia articles that have been annotated with LOC (location), PER (person), and ORG (organization) tags in the IOB2 format¹². This dataset serves as a valuable resource for training and evaluating named entity recognition models across various languages.
57 PAPERS • 3 BENCHMARKS
Automatic language identification is a challenging problem. Discriminating between closely related languages is especially difficult. This paper presents a machine-learning approach for automatic language identification for the Nordic languages, which often suffer miscategorization by existing state-of-the-art tools. Concretely we will focus on discrimination between six Nordic languages: Danish, Swedish, Norwegian (Nynorsk), Norwegian (Bokmål), Faroese, and Icelandic. This is the data for the tasks. Two variants are provided: 10K and 50K, withholding 10,000 and 50,000 examples for each language respectively.
1 PAPER • 1 BENCHMARK