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TIAD Shared Task 2019: Orthonormal Explicit Topic Analysis for Translation Inference across Dictionaries

John P. McCrae
2019 Zenodo  
The task of inferring translations can be achieved by the means of comparable corpora and in this paper we apply explicit topic modelling over comparable corpora to the task of inferring translation candidates  ...  In particular, we use the Orthonormal Explicit Topic Analysis (ONETA) model, which has been shown to be the state-of-the-art explicit topic model through its elimination of correlations between topics.  ...  Orthonormal Explicit Topic Analysis Orthonormal explicit topic analysis follows from explicit semantic analysis by assuming there is a background collection of documents we call B = {b 1 , . . . , b n  ... 
doi:10.5281/zenodo.3266904 fatcat:hby7ijgy3fdf7jo4madpkhsrsq

Results of the Translation Inference Across Dictionaries 2019 Shared Task

Jorge Gracia, Besim Kabashi, Ilan Kernerman, Marta Lanau-Coronas, Dorielle Lonke
2019 Zenodo  
The objective of the Translation Inference Across Dictionaries (TIAD) shared task is to explore and compare methods and techniques that infer translations indirectly between language pairs, based on other  ...  In its second, 2019, edition the participating systems were asked to generate new translations automatically among three languages - English, French, Portuguese - based on known indirect translations contained  ...  Acknowledgements We would like to thank Michael Ruppert (University of Erlangen-Nuremberg) for his assistance with the Word2Vec baseline.  ... 
doi:10.5281/zenodo.3555154 fatcat:2yhcyak7lbh3vpp43cmw2n2pii