# Persian-English

Data compiled by [Opus](https://opus.nlpl.eu/).

Dictionary data from Wiktionary using [Wiktextract](https://github.com/tatuylonen/wiktextract).

Includes pretrained models from [Stanza](https://github.com/stanfordnlp/stanza/).

Credits:

Krzysztof Wołk and Krzysztof Marasek: Building Subject-aligned Comparable Corpora and Mining it for Truly Parallel Sentence Pairs., Procedia Technology, 18, Elsevier, p.126-132, 2014

J. Tiedemann, 2012, Parallel Data, Tools and Interfaces in OPUS. In Proceedings of the 8th International Conference on Language Resources and Evaluation (LREC 2012)

Holger Schwenk, Vishrav Chaudhary, Shuo Sun, Hongyu Gong and Paco Guzman, WikiMatrix: Mining 135M Parallel Sentences in 1620 Language Pairs from Wikipedia, arXiv, July 11 2019.

Kashefi, O. (2018). MIZAN: a large persian-english parallel corpus. Computing Research Repository, arXiv:1801.02107.

El-Kishky, Ahmed and Renduchintala, Adi and Cross, James and Guzmán, Francisco and Koehn, Philipp - XLEnt: Mining Cross-lingual Entities with Lexical-Semantic-Phonetic Word Alignment

El-Kishky, Ahmed and Chaudhary, Vishrav and Guzmán, Francisco and Koehn, Philipp - Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP 2020)

P. Lison and J. Tiedemann, 2016, OpenSubtitles2016: Extracting Large Parallel Corpora from Movie and TV Subtitles. In Proceedings of the 10th International Conference on Language Resources and Evaluation (LREC 2016)

Holger Schwenk, Guillaume Wenzek, Sergey Edunov, Edouard Grave, Armand Joulin and Angela Fan, CCMatrix: Mining Billions of High-Quality Parallel Sentences on the WEB

