[apologies for cross-postings]
Shared task – Translation Inference Across Dictionaries 2 – TIAD 2019
CALL FOR PARTICIPATION
We are pleased to invite you to participate in the second shared task for Translation Inference Across Dictionaries (TIAD 2019) and the workshop that will be held in conjunction with the second conference on Language, Data and Knowledge (LDK 2019) in Leipzig, Germany, on May 20, 2019.
TIAD was first held in conjunction with the first LDK conference in 2017, in Galway, Ireland. This initiative is aimed at exploring methods and techniques for automatically generating new bilingual (and multilingual) dictionaries from existing ones in the context of a coherent experiment framework that enables reliable validation of results and solid comparison of the processes used. It also aims to enhance further research on the topic of inferring translations across languages.
TASK DEFINITION
The objective of TIAD shared task is to explore and compare methods and techniques that infer translations indirectly between language pairs, based on other bilingual resources. Such techniques would help in auto-generating new bilingual and multilingual dictionaries based on existing ones.
In particular, the participating systems will be asked to generate new translations automatically among three languages, English, French, Portuguese, based on known translations contained in the Apertium RDF graph (http://linguistic.linkeddata.es/apertium/). As the three languages (EN, FR, PT) are not directly connected in this graph (https://tinyurl.com/apertiumRDF-lang), no translations can be obtained directly among them there. Based on the available RDF data, the participants will apply their methodologies to derive translations, mediated by any other language in the graph, between the pairs EN/FR, FR/PT and PT/EN.
Participants may also make use of other freely available sources of background knowledge (e.g. lexical linked open data and parallel corpora) to improve performance, as long as no direct translation among the target language pairs is applied.
Evaluation of the results will be carried out by the organisers against manually compiled corresponding pairs from the Global series of K Dictionaries (https://lexicala.com/resources#dictionaries) and other resources.
PUBLICATION OF RESULTS
Participants will submit a system description paper including a description of their system, the way data have been processed, the applied algorithms, the obtained results, as well as the conclusions and ideas for future improvements. The papers will be peer reviewed prior to publication to confirm all aspects are well covered.
In addition, the workshop welcomes regular papers from those not participating in the shared task but having worked on the topic of translation inference and wanting to publish novel results or ideas, using different datasets and experimental basis from the ones proposed in TIAD. The papers will be peer reviewed on the basis of their scientific quality.
All the accepted papers will be presented at the workshop and published on CEUR-WS (http://ceur-ws.org<http://ceur-ws.org/>).
IMPORTANT DATES
13/11/2018 – Call for participation
01/12/2018 – Technical description of the evaluation process and data provided by organisers
01/03/2019 – Submission of results by participants / submission of regular papers
20/03/2019 – Evaluation results communicated by organisers / notification of regular papers
20/04/2019 – Submission of system description papers
20/05/2019 – Workshop day
ORGANISERS
● Jorge Gracia, University of Zaragoza, Spain
● Besim Kabashi. Friedrich-Alexander University of Erlangen-Nuremberg & Ludwig-Maximilian University of Munich, Germany
● Ilan Kernerman, K Dictionaries, Israel
REVIEW COMMITTEE
● Thierry Fontenelle, Translation Centre for the Bodies of the EU, Luxembourg
● Jorge Gracia, University of Zaragoza, Spain
● Besim Kabashi. Friedrich-Alexander University of Erlangen-Nuremberg & Ludwig-Maximilian University of Munich, Germany
● Ilan Kernerman, K Dictionaries, Israel
● Nikola Ljubešić, University of Zagreb, Croatia
● Shervin Malmasi, Harvard University, USA
● John McCrae, National University of Ireland, Galway
● Georg Rehm, German Research Center for Artificial Intelligence, Berlin
● Arvi Tavast, Institute of the Estonian Language, Tallinn
● Liling Tan, Saarland University, Germany & Nanyang Technological University, Singapore
● Marcos Zampieri, University of Köln, Germany
WEBSITES
TIAD 2019 http://tiad2019.unizar.es
LDK 2019 http://2019.ldk-conf.org/
TIAD 2017 https://tiad2017.wordpress.com/