---
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",
}
```