flōw website translation credits

The translated website text was generated with Argos Translate 1.11.0
and the open models listed below. Translation happens during the site
build. The public language picker loads local JSON files and does not send
visitor text to an external translation service.

These are machine translations. Please contact legal@meetonflow.com
about an important term or a possible translation error.

Argos Translate: https://github.com/argosopentech/argos-translate
Argos Translate software is MIT or CC0 licensed.
Model package index: https://www.argosopentech.com/argospm/index/
OPUS-MT: https://opus.nlpl.eu/Opus-MT/

==============================================================
English to nl model

# English - Dutch version 1.0

Authors: Jörg Tiedemann and Santhosh Thottingal
Title: "OPUS-MT - Building open translation services for the World"
Book Title: Proceedings of the 22nd Annual Conference of the European Association for Machine Translation (EAMT)
Year: 2020
Location: Lisbon, Portugal

The original OPUS model from which this packaged model is derived is licensed CC-BY 4.0

==============================================================
English to de model

# English - German version 1.3

==============================================================
English to fr model

# English - French version 1.0

Authors: Jörg Tiedemann and Santhosh Thottingal
Title: "OPUS-MT - Building open translation services for the World"
Book Title: Proceedings of the 22nd Annual Conference of the European Association for Machine Translation (EAMT)
Year: 2020
Location: Lisbon, Portugal

The original OPUS model from which this packaged model is derived is licensed CC-BY 4.0

==============================================================
English to es model

# English-Spanish

Trained on [OpenSubtitles](opus.nlpl.eu/OpenSubtitles.php), [ParaCrawl](http://opus.nlpl.eu/ParaCrawl.php), and [UNPC](http://opus.nlpl.eu/UNPC.php) parallel corpuses compiled by [Opus](http://opus.nlpl.eu/index.php)

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

==============================================================
English to pt model

# English - Portuguese version 1.9

Authors: Jörg Tiedemann and Santhosh Thottingal
Title: "OPUS-MT - Building open translation services for the World"
Book Title: Proceedings of the 22nd Annual Conference of the European Association for Machine Translation (EAMT)
Year: 2020
Location: Lisbon, Portugal

The original OPUS model from which this packaged model is derived is licensed CC-BY 4.0

==============================================================
English to it model

# English-Italian

Trained on data from Opus (EUbookshop, OpenSubtitles, ParaCrawl, WikiMatrix).

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

==============================================================
English to pl model

# English - Polish version 1.9

Authors: Jörg Tiedemann and Santhosh Thottingal
Title: "OPUS-MT - Building open translation services for the World"
Book Title: Proceedings of the 22nd Annual Conference of the European Association for Machine Translation (EAMT)
Year: 2020
Location: Lisbon, Portugal

The original OPUS model from which this packaged model is derived is licensed CC-BY 4.0

==============================================================
English to ru model

# English - Russian version 2.2

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/).

author = {Aleksey Kutashov}

Credits:

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.


CCMatrix.en-ru

http://opus.nlpl.eu/CCMatrix-v1.php

If you use the dataset or code, please cite (pdf) and, please, acknowledge OPUS (bib, pdf) as well for this release.

This corpus has been extracted from web crawls using the margin-based bitext mining techniques described here. The original distribution is available from http://data.statmt.org/cc-matrix/


GlobalVoices.en-ru

http://opus.nlpl.eu/GlobalVoices-2018Q4.php

Please cite the following article if you use any part of the corpus in your own work: J. Tiedemann, 2012, Parallel Data, Tools and Interfaces in OPUS. In Proceedings of the 8th International Conference on Language Resources and Evaluation (LREC 2012)

A parallel corpus of news stories from the web site Global Voices compiled and provided by CASMACAT: http://casmacat.eu/corpus/global-voices.html. This version is taken from release 2018Q4 and adjusted for OPUS and is truly multilingual.

MultiUN.en-ru

http://opus.nlpl.eu/MultiUN-v1.php

Please cite the following article if you use any part of the corpus in your own work: J. Tiedemann, 2012, Parallel Data, Tools and Interfaces in OPUS. In Proceedings of the 8th International Conference on Language Resources and Evaluation (LREC 2012)

This is a collection of translated documents from the United Nations originally compiled by Andreas Eisele and Yu Chen (see http://www.euromatrixplus.net/multi-un/). Please cite MultiUN: A Multilingual corpus from United Nation Documents, Andreas Eisele and Yu Chen, LREC 2010

News-Commentary.en-ru

http://opus.nlpl.eu/News-Commentary-v16.php

Please cite the following article if you use any part of the corpus in your own work: J. Tiedemann, 2012, Parallel Data, Tools and Interfaces in OPUS. In Proceedings of the 8th International Conference on Language Resources and Evaluation (LREC 2012)

A parallel corpus of News Commentaries provided by WMT for training SMT. The source is taken from WMT 19: http://data.statmt.org/news-commentary/v16/documents.tgz

OpenSubtitles.en-ru

http://opus.nlpl.eu/OpenSubtitles-v2018.php

Please cite the following article if you use any part of the corpus in your own work: 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)

This is a new collection of translated movie subtitles from http://www.opensubtitles.org/.IMPORTANT: If you use the OpenSubtitle corpus: Please, add a link to http://www.opensubtitles.org/ to your website and to your reports and publications produced with the data! I promised this when I got the data from the providers of that website!  This is a slightly cleaner version of the subtitle collection using improved sentence alignment and better language checking.
We also provide sentence alignments between alternative subtitle uploads. This produces a lot of repeated material and, therefore, we do not provide data sets that are compiled into plain text or TMX format. Instead, you can download the standoff annotation of the sentence alignment from the form at the top-level website. There are links to [alt] in the other files column of the search result if they exist.OpenSubtitles also includes intra-lingual sentence alignments between alternative subtitle uploads in the same language. To access those files, search for resources with the same source and target language using the form on the top-level website. The intra-lingual links are divided into different categories (listed in the column other files in the search result):  insert: Sentence pairs that differ only by some inserted text on one side other: Other types of sentence pairs; probably paraphrases and/or stylistically different subtitles. pct: Sentence pairs that differ only in punctuation characters. spell: Sentence pairs that differ in a few characters only that looks suspiciously like misspellings.  For more information, please look at  J. Tiedemann, 2016, Finding Alternative Translations in a Large Corpus of Movie Subtitles. In Proceedings of the 10th International Conference on Language Resources and Evaluation (LREC 2016)(and, please, cite the paper as well).

ParaCrawl.en-ru

http://opus.nlpl.eu/ParaCrawl-v8.php

Please, acknowledge the ParaCrawl project at http://paracrawl.eu. This version is derived from the original release at their website adjusted for redistribution via the OPUS corpus collection. Please, acknowledge OPUS as well for this service.

Parallel corpora from Web Crawls collected in the ParaCrawl project
The data is released under the Creative Commons CC0 license (no rights reserved), see http://paracrawl.eu/download.html for more details

QED.en-ru

http://opus.nlpl.eu/QED-v2.0a.php

Please cite the following article if you use any part of the corpus in your own work: J. Tiedemann, 2012, Parallel Data, Tools and Interfaces in OPUS. In Proceedings of the 8th International Conference on Language Resources and Evaluation (LREC 2012)

The QCRI Educational Domain Corpus (formerly QCRI AMARA Corpus) is an open multilingual collection of subtitles for educational videos and lectures collaboratively transcribed and translated over the AMARA web-based platform.Developed by: Qatar Computing Research Institute, Arabic Language Technologies GroupThe QED Corpus is made public for RESEARCH purpose only.The corpus is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. Copyright Qatar Computing Research Institute. All rights reserved.
An earlier release has been published at http://alt.qcri.org/resources/qedcorpus/. This updated version is provided by Ahmed Abdelali , Paco Guzman , Hassan Sajjad 


Tatoeba.en-ru

http://opus.nlpl.eu/Tatoeba-v2021-07-22.php

Please cite the following article if you use any part of the corpus in your own work: J. Tiedemann, 2012, Parallel Data, Tools and Interfaces in OPUS. In Proceedings of the 8th International Conference on Language Resources and Evaluation (LREC 2012)

This is a collection of translated sentences from Tatoeba
License: CC–BY 2.0 FR


TED2013.en-ru

http://opus.nlpl.eu/TED2013-v1.1.php

Please cite the following article if you use any part of the corpus in your own work: J. Tiedemann, 2012, Parallel Data, Tools and Interfaces in OPUS. In Proceedings of the 8th International Conference on Language Resources and Evaluation (LREC 2012)

A parallel corpus of TED talk subtitles provided by CASMACAT: http://www.casmacat.eu/corpus/ted2013.html. The files are originally provided by https://wit3.fbk.eu.


TED2020.en-ru

http://opus.nlpl.eu/TED2020-v1.php

Please cite the following article if you use any part of the corpus in your own work: J. Tiedemann, 2012, Parallel Data, Tools and Interfaces in OPUS. In Proceedings of the 8th International Conference on Language Resources and Evaluation (LREC 2012)

This dataset contains a crawl of nearly 4000 TED and TED-X transcripts from July 2020. The transcripts have been translated by a global community of volunteers to more than 100 languages. The parallel corpus is available from https://www.ted.com/participate/translate

==============================================================
English to uk model

# English-Ukranian

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:
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.

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

@inproceedings{elkishky_ccaligned_2020,
author = {El-Kishky, Ahmed and Chaudhary, Vishrav and Guzmán, Francisco and Koehn, Philipp},
booktitle = {Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP 2020)},
month = {November},
title = {{CCAligned}: A Massive Collection of Cross-lingual Web-Document Pairs},
year = {2020}
address = "Online",
publisher = "Association for Computational Linguistics",
url = "https://www.aclweb.org/anthology/2020.emnlp-main.480",
doi = "10.18653/v1/2020.emnlp-main.480",
pages = "5960--5969"
}

==============================================================
English to tr model

# English-Turkish

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:

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

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

gourmet project at https://gourmet-project.eu

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

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

Reimers, Nils and Gurevych, Iryna - Making Monolingual Sentence Embeddings Multilingual using Knowledge Distillation

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.

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

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

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

==============================================================
English to sv model

# English-Swedish

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

Angela Fan, Shruti Bhosale, Holger Schwenk, Zhiyi Ma, Ahmed El-Kishky, Siddharth Goyal, Mandeep Baines, Onur Celebi, Guillaume Wenzek, Vishrav Chaudhary, Naman Goyal, Tom Birch, Vitaliy Liptchinsky, Sergey Edunov, Edouard Grave, Michael Auli, and Armand Joulin. Beyond English-Centric Multilingual Machine Translation

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.

@inproceedings{elkishky_ccaligned_2020,
author = {El-Kishky, Ahmed and Chaudhary, Vishrav and Guzmán, Francisco and Koehn, Philipp},
booktitle = {Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP 2020)},
month = {November},
title = {{CCAligned}: A Massive Collection of Cross-lingual Web-Document Pairs},
year = {2020}
address = "Online",
publisher = "Association for Computational Linguistics",
url = "https://www.aclweb.org/anthology/2020.emnlp-main.480",
doi = "10.18653/v1/2020.emnlp-main.480",
pages = "5960--5969"
}

==============================================================
English to da model

# English - Danish version 1.0

Authors: Jörg Tiedemann and Santhosh Thottingal
Title: "OPUS-MT - Building open translation services for the World"
Book Title: Proceedings of the 22nd Annual Conference of the European Association for Machine Translation (EAMT)
Year: 2020
Location: Lisbon, Portugal

The original OPUS model from which this packaged model is derived is licensed CC-BY 4.0

==============================================================
English to nb model

# English - Norwegian version 1.9

Authors: Jörg Tiedemann and Santhosh Thottingal
Title: "OPUS-MT - Building open translation services for the World"
Book Title: Proceedings of the 22nd Annual Conference of the European Association for Machine Translation (EAMT)
Year: 2020
Location: Lisbon, Portugal

The original OPUS model from which this packaged model is derived is licensed CC-BY 4.0

==============================================================
English to fi model

# English - Finnish version 1.0

Authors: Jörg Tiedemann and Santhosh Thottingal
Title: "OPUS-MT - Building open translation services for the World"
Book Title: Proceedings of the 22nd Annual Conference of the European Association for Machine Translation (EAMT)
Year: 2020
Location: Lisbon, Portugal

The original OPUS model from which this packaged model is derived is licensed CC-BY 4.0

==============================================================
English to el model

# English - Greek version 1.9

Authors: Jörg Tiedemann and Santhosh Thottingal
Title: "OPUS-MT - Building open translation services for the World"
Book Title: Proceedings of the 22nd Annual Conference of the European Association for Machine Translation (EAMT)
Year: 2020
Location: Lisbon, Portugal

The original OPUS model from which this packaged model is derived is licensed CC-BY 4.0

==============================================================
English to hi model

# English-Hindi

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:
 @inproceedings{elkishky_ccaligned_2020,
 author = {El-Kishky, Ahmed and Chaudhary, Vishrav and Guzmán, Francisco and Koehn, Philipp},
 booktitle = {Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP 2020)},
 month = {November},
 title = {{CCAligned}: A Massive Collection of Cross-lingual Web-Document Pairs},
 year = {2020}
 address = "Online",
 publisher = "Association for Computational Linguistics",
 url = "https://www.aclweb.org/anthology/2020.emnlp-main.480",
 doi = "10.18653/v1/2020.emnlp-main.480",
 pages = "5960--5969"
 }

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.

==============================================================
English to bn model

# English - Bengali version 1.9

Authors: Jörg Tiedemann and Santhosh Thottingal
Title: "OPUS-MT - Building open translation services for the World"
Book Title: Proceedings of the 22nd Annual Conference of the European Association for Machine Translation (EAMT)
Year: 2020
Location: Lisbon, Portugal

The original OPUS model from which this packaged model is derived is licensed CC-BY 4.0

==============================================================
English to zh model

# English - Chinese version 1.9

Authors: Jörg Tiedemann and Santhosh Thottingal
Title: "OPUS-MT - Building open translation services for the World"
Book Title: Proceedings of the 22nd Annual Conference of the European Association for Machine Translation (EAMT)
Year: 2020
Location: Lisbon, Portugal

The original OPUS model from which this packaged model is derived is licensed CC-BY 4.0

==============================================================
English to ja model

# English-Japanese

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:
@inproceedings{elkishky_ccaligned_2020,
 author = {El-Kishky, Ahmed and Chaudhary, Vishrav and Guzmán, Francisco and Koehn, Philipp},
 booktitle = {Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP 2020)},
 month = {November},
 title = {{CCAligned}: A Massive Collection of Cross-lingual Web-Document Pairs},
 year = {2020}
 address = "Online",
 publisher = "Association for Computational Linguistics",
 url = "https://www.aclweb.org/anthology/2020.emnlp-main.480",
 doi = "10.18653/v1/2020.emnlp-main.480",
 pages = "5960--5969"
 }

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.

@inproceedings{elkishky_ccaligned_2020,
 author = {El-Kishky, Ahmed and Chaudhary, Vishrav and Guzmán, Francisco and Koehn, Philipp},
 booktitle = {Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP 2020)},
 month = {November},
 title = {{CCAligned}: A Massive Collection of Cross-lingual Web-Document Pairs},
 year = {2020}
 address = "Online",
 publisher = "Association for Computational Linguistics",
 url = "https://www.aclweb.org/anthology/2020.emnlp-main.480",
 doi = "10.18653/v1/2020.emnlp-main.480",
 pages = "5960--5969"
 }

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)

==============================================================
English to ko model

# English-Korean

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:
 @inproceedings{elkishky_ccaligned_2020,
 author = {El-Kishky, Ahmed and Chaudhary, Vishrav and Guzmán, Francisco and Koehn, Philipp},
 booktitle = {Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP 2020)},
 month = {November},
 title = {{CCAligned}: A Massive Collection of Cross-lingual Web-Document Pairs},
 year = {2020}
 address = "Online",
 publisher = "Association for Computational Linguistics",
 url = "https://www.aclweb.org/anthology/2020.emnlp-main.480",
 doi = "10.18653/v1/2020.emnlp-main.480",
 pages = "5960--5969"
 }

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.

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)

==============================================================
English to id model

# English - Indonesian version 1.0

Authors: Jörg Tiedemann and Santhosh Thottingal
Title: "OPUS-MT - Building open translation services for the World"
Book Title: Proceedings of the 22nd Annual Conference of the European Association for Machine Translation (EAMT)
Year: 2020
Location: Lisbon, Portugal

The original OPUS model from which this packaged model is derived is licensed CC-BY 4.0

==============================================================
English to vi model

# English - Vietnamese version 1.0

Authors: Jörg Tiedemann and Santhosh Thottingal
Title: "OPUS-MT - Building open translation services for the World"
Book Title: Proceedings of the 22nd Annual Conference of the European Association for Machine Translation (EAMT)
Year: 2020
Location: Lisbon, Portugal

The original OPUS model from which this packaged model is derived is licensed CC-BY 4.0

==============================================================
English to th model

# English - Thai version 1.9

Authors: Jörg Tiedemann and Santhosh Thottingal
Title: "OPUS-MT - Building open translation services for the World"
Book Title: Proceedings of the 22nd Annual Conference of the European Association for Machine Translation (EAMT)
Year: 2020
Location: Lisbon, Portugal

The original OPUS model from which this packaged model is derived is licensed CC-BY 4.0