FYI: TIAD-2017 Shared Task – Translation Inference Across Dictionaries
Call for Participation We are pleased to invite participation in the first shared task for Translation Inference Across Dictionaries. TIAD-2017 is aimed at exploring best methods and techniques for auto-generating new bilingual dictionaries based on existing resources. It will make use of cross-lingual lexicographic data offered by K Dictionaries Ltd (KD), and the results of the systems developed will be validated against KD’s existing resources as well as by human translators. The systems will be presented at a workshop held as part of the first Language, Data and Knowledge conference in Galway, Ireland, on 18-20 June 2017 (http://ldk2017.org). The papers describing the participant systems will be published on CEUR-WS (http://ceur-ws.org). Task definition The objective of the task is to indirectly generate translations for three language pairs, based on already known translations among eight languages altogether, in 14 bilingual dictionaries, involving four possible paths – all from German to Brazilian Portuguese – that feature between 1 to 4 pivot languages. The test dataset consists of 100 randomly-selected German dictionary entries with their translations into a second language, and recursively exploring further translations in chained-up dictionaries – including up to 1,035 entries with 1,948 translation equivalents in the largest language pair that is provided. Besides the headwords and translations, the data includes information about parts of speech, subject domains and synonyms, as well as examples of usage and their translations. The following language pairs are provided for the four different paths: German>English | English>Portuguese German>Japanese | Japanese>Spanish | Spanish>Portuguese German>Danish | Danish>French | French>Spanish | Spanish>Portuguese German>Dutch | Dutch>Spanish | Spanish>Danish | Danish>French | French>Portuguese Also included are four Portuguese>German datasets, for closing the loop in each path, to help with the validation of the results. The three new language pairs that should be generated are: German>Portuguese Danish>Spanish Dutch>French NOTE: The Portuguese>German sets are provided for the sole purpose of closing the loop as an aid for validating the results and MAY NOT BE reversed to improve results. However, The Spanish>Danish dataset – that is provided as part of path (d) – MAY BE reversed to help with improving the results. Evaluation of the results of each system will be carried out against KD’s manually compiled dictionaries for these pairs from the Global Series and other resources, as well as by human translators. Participants can contribute on either or both of the following tracks: Systems that use only the KD data released for the task Systems that exploit, in addition to the KD data, other freely available sources of background knowledge (e.g., lexical linked open data and parallel corpora) to improve performance Beyond performance, participants are encouraged to consider the following issues in particular: The role of the language family with respect to the newly generated pairs The asymmetry of pairs, and how translation direction affects the results The behavior of different parts of speech among different languages Publication Each system should be described in a 6-8 page paper, formatted according to LNCS guidelines [https://springer.com/computer/lncs?SGWID=0-164-6-793341-0]. It is not obligatory to submit fully scientific papers, but there should be a focused description of the system developed by each participant, along with a discussion of the results. The paper should include a description of the system, the way the 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 that all aspects are well covered. The proceedings will be published on CEUR-WS: http://ceur-ws.org. Organizers Jorge Gracia, Ontology Engineering Group, Universidad Politécnica de Madrid Noam Ordan, K Dictionaries and The Arab Academic College of Education, Haifa Ilan Kernerman, K Dictionaries, Tel Aviv Review Committee To be announced. Contact Noam Ordan: [email protected] -- Mikel L. Forcada http://www.dlsi.ua.es/~mlf/ Departament de Llenguatges i Sistemes Informàtics Universitat d'Alacant E-03690 Sant Vicent del Raspeig Spain Office: +34 96 590 9776 ------------------------------------------------------------------------------ Check out the vibrant tech community on one of the world's most engaging tech sites, SlashDot.org! http://sdm.link/slashdot _______________________________________________ Apertium-stuff mailing list [email protected] https://lists.sourceforge.net/lists/listinfo/apertium-stuff
