*CALL FOR PARTICIPATION* *in the*
*eight Automatic Post-Editing (APE) shared task * *at the seventh Conference on Machine Translation (WMT22)* *OVERVIEW* The 8th round of the APE shared task follows the success of the previous rounds organized from 2015 to 2021. The aim is to examine *automatic methods for correcting errors produced by an unknown machine translation (MT) system.* This must be done by exploiting knowledge acquired from human post-edits, which are provided as training material. *Goals* The aim of this task is to improve MT output in black-box scenarios, in which the MT system is used "as is" and cannot be modified. From the application point of view, APE components would make it possible to: - Cope with systematic errors of an MT system whose decoding process is not accessible - Provide professional translators with improved MT output quality to reduce (human) post-editing effort - Adapt the output of a general-purpose system to the lexicon/style requested in a specific application domain *Task Description* This year the language setting shifts to Indian languages focusing on *English --> Marathi* language pair. The provided data cover several domains like *healthcare, tourism, general/news*. At the training stage, the collected human post-edits must be used to learn correction rules for the APE systems. At the test stage they will be used for system evaluation with automatic metrics (TER and BLEU). *DIFFERENCES FROM THE PREVIOUS ROUND (WMT 2021)* Compared to the previous round, the main differences are: - Focus on Indian language (Marathi) as target language - Use of new domains healthcare and tourism for the selected target language *Important dates* Release of training and development data May 17, 2022 Release of test data July 11, 2022 APE system submission deadline July 18, 2022 Manual evaluation August Paper submission deadline September 7, 2022 Notification of acceptance October 9, 2022 Camera-ready deadline October 16, 2022 Further information about the shared task is available here <https://www.statmt.org/wmt22/ape-task.html> -- On behalf of the APE shared task organizers
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