Update, July 23: The submission deadline is over. Please identify the primary submission in OCELoT.
There is no machine translation available for most of the ~7000 languages spoken on the planet Earth. In the unsupervised and very low resource translation task, we collaborate with the local communities in providing resources and developing MT systems for local minority languages. Like last year, the task will include translation of Upper Sorbian, a minority Slavic language spoken in Germany. This year, we added a translation of closely related Lower Sorbian and Chuvash, a minority Turcic language spoken in south Russia.
This year, the tasks are:
Lower and Upper Sorbian are Slavic minority languages spoken in the Eastern part of Germany with 7k and 30k native speakers respectively.
The data for this task was provided by the Sorbian Institute (monolingual data) and The Witaj Sprachzentrum (Witaj Language Center) (both parallel and monolingual data).
The development and test data for Upper Sorbian are the same as the last year.
As far as we know, there is parallel data for Lower Sorbian except for the development and test data provided for this task. Unlike the last year, there is no unsupervised task for Upper Sorbian.
We allow the use of all German, Czech and Polish data released for WMT. All Upper Sorbian data (both monolingual and parallel) we release may be used. In addition, all parallel with German on one side (German-Czech and German-Polish might be particularly useful) from the WMT news tasks or available in the OPUS project might be used. No other language data may be used.
Chuvash is a Turkic language spoken as a minority language in the Volga Region in Russia. There is a larger amount of training data available for Chuvash, but the language is rather isolated in the Turkic language family, so unlike Sorbian, it cannot benefit that much from the existence of closely related languages.
All Chuvash (parallel and monolingual) data we release may be used. Additional data that might be used: Chuvash-Russian part of the JW300 corpus, all Russian data released for WMT. In addition, the Kazakh-Russian corpus and monolingual Kazakh data from WMT19 are allowed. Chuvash is covered by multilingual BERT which also might be used.
We plan to use automatic metrics for the evaluation of this task. We believe that manual evaluation may not be so necessary for unsupervised MT and very low resource MT development, because automatic metrics worked well at this (relatively low) translation quality level in the past.
|System description paper submission deadline||August 5, 2021|
|Camera ready||September 15, 2021|
There are no parallel training data for Lower Sorbian.
Development and development test data: devtest.dsb-de.tgz. Development and development test data may not be used for training.
The only allowed Lower Sorbian data for training is monolingual: mono.dsb.gz
Please do not use the blind test data from the last year.
The dev and test data are from the same distribution as the training data, but unlike the training data, they were manually filtered.
monocorpus_chv.zip contains monolingual Chuvash data from various sources (Wikipedia, web crawl, fiction).
Note that several characters used in Chuvash are in two different UTF-8 encodings. Please use this script to normalize Cyrillic script data (other than the parallel and monolingual Chuvash data linked from this page).
See the news translation task web page (also previous years) for monolingual data. All monolingual data for the listed languages are available for WMT tasks (now or in the past) are allowed.
The blind test sets:
Use Ocelot to submit the translated test sets. Teams must get verified after registration. After registering your team, please email Jindřich Libovický (surname at cis.lmu.de) to verify your registration. Note this is a different instance of Ocelot than was used for the News task (so if you already registered your team for the News Task, you need to register again). The same rules as for the News Task apply. (Many thanks to Tom Kocmi and Christian Federmann for making Ocelot work.)
The deadline is: July 23, 2021 (17:00 UTC)
Questions or comments can be posted for discussion at firstname.lastname@example.org.
Organizational issues can be directed to Jindřich Libovický and Alexander Fraser.
This work has received funding from the European Research Council (ERC) under grant agreement No. 640550. This work was also supported by DFG (grant FR 2829/4-1).