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TIAD 2019 - Translation Inference Across Dictionaries - CfP2

From: Ilan Kernerman <ilan@kdictionaries.com>
Date: Thu, 6 Dec 2018 07:02:31 +0000
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CC: Jorge Gracia <jogracia@unizar.es>, "besim.kabashi@fau.de" <besim.kabashi@fau.de>
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[apologies for cross-postings]

Shared task – Translation Inference Across Dictionaries 2 – TIAD 2019


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.


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 make use also 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 using manually compiled corresponding pairs from the Global series of K Dictionaries (https://lexicala.com/resources#dictionaries) and other resources.


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).


13/11/2018 – First Call for participation

06/12/2018 – 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




●             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


●             Julia Bosque-Gil, Universidad Politécnica de Madrid, Spain

●             Thierry Fontenelle, Translation Centre for the Bodies of the EU, Luxembourg

●             Jorge Gracia, Universidad de 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

●             Elena Montiel-Ponsoda, Universidad Politécnica de Madrid, Spain

●             Georg Rehm, German Research Center for Artificial Intelligence (DFKI), Berlin

●             Arvi Tavast, Institute of the Estonian Language (EKI), Tallinn

●             Liling Tan, Saarland University, Germany & Nanyang Technological University, Singapore

●             Marcos Zampieri, University of Köln, Germany


TIAD 2019            http://tiad2019.unizar.es

LDK 2019              http://2019.ldk-conf.org/

TIAD 2017            https://tiad2017.wordpress.com/

CONTACT            jogracia@unizar.es<mailto:jogracia@unizar.es>
Received on Thursday, 6 December 2018 07:03:05 UTC

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