--- dataset_info: features: - name: br dtype: string - name: fr dtype: string splits: - name: train num_bytes: 3015230 num_examples: 51121 download_size: 1592537 dataset_size: 3015230 configs: - config_name: default data_files: - split: train path: data/train-* task_categories: - translation language: - br - fr multilinguality: - multilingual --- ## Description Paires breton/français du jeu de données XLEnt disponible sur [OPUS](https://opus.nlpl.eu/results/br&fr/corpus-result-table). **⚠ Attention ⚠** : il y a des problèmes d'alignement et des traductions sont incomplètes. Ce jeu de données n'est donc pas utilisbale tel quel et un post-processing serait à effectuer. ## Citations #### XLEnt ``` @inproceedings{el2021xlent, title={XLEnt: Mining a Large Cross-lingual Entity Dataset with Lexical-Semantic-Phonetic Word Alignment}, author={El-Kishky, Ahmed and Renduchintala, Adithya and Cross, James and Guzm{\'a}n, Francisco and Koehn, Philipp}, booktitle={Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing}, pages={10424--10430}, year={2021} } ``` #### OPUS ``` @inbook{4992de1b5fb34f3e9691772606b36edf, title = "News from OPUS - A Collection of Multilingual Parallel Corpora with Tools and Interfaces", author = "J{\"o}rg Tiedemann", year = "2009", language = "odefinierat/ok{\"a}nt", volume = "V", pages = "237--248", editor = "N. Nicolov and K. Bontcheva and G. Angelova and R. Mitkov", booktitle = "Recent Advances in Natural Language Processing", } ```