The Abu-MaTran project was present at the eleventh Machine Translation Marathon in Prague (Czech Republic).
Project researcher Víctor M. Sánchez-Cartagena from Prompsit Language Engineering presented a poster about ruLearn, a novel tool for the automatic inference of rules for shallow-transfer machine translation from scarce parallel corpora. Part of the work leading to the publication was carried out during Víctor’s industry-to-academia secondment at Universitat d’Alacant.
Project researcher Víctor M. Sánchez-Cartagena represented the Abu-MaTran consortium at the Machine Translation shared task of the First Conference on Machine Translation (WMT 16), co-located with ACL. Our submission ranked first for the language pair in which we participated: English-to-Finnish.
Víctor presented the systems submitted by the Abu-MaTran consortium to the Machine Translation shared task. We applied morphological segmentation and deep learning in order to address (i) the data scarcity problem caused by the lack of in-domain parallel data in the constrained task and (ii) the complex morphology of Finnish. Our neural machine translation and system combination submissions were the top performing English-to-Finnish constrained submissions according to all automatic metrics and human evaluation.
The Abu-MaTran project was present at the ninth Workshop on Statistical Machine Translation (WMT) 2014, organised jointly with the annual Association for Computational Linguistics conference.
The workshop took place in Baltimore, MD, the 26th and 27th June 2014. Two papers related to the Abu-MaTran project were presented, describing the Machine Translation systems built for the English-French translation task. The data-constrained Abu-MaTran system was ranked first and second, based on human and automatic evaluations respectively.
– Abu-MaTran at WMT 2014 Translation Task: Two-step Data Selection and RBMT-Style Synthetic Rules
Raphael Rubino, Antonio Toral, Víctor M. Sánchez-Cartagena, Jorge Ferrández-Tordera, Sergio Ortiz Rojas, Gema Ramírez-Sánchez, Felipe Sánchez-Martínez and Andy Way
– The UA-Prompsit hybrid machine translation system for the 2014 Workshop on Statistical Machine Translation
Víctor M. Sánchez-Cartagena, Juan Antonio Pérez-Ortiz and Felipe Sánchez-Martínez
The Abu-MaTran project was present at the recent conference of the European Association for Machine Translation, held in Dubrovnik (Croatia).
Two papers related to the Abu-MaTran project were presented:
– Extrinsic Evaluation of Web-Crawlers in Machine Translation: a Case Study on Croatian–English for the Tourism Domain
Antonio Toral, Raphael Rubino, Miquel Esplà, Tommi Pirinen, Andy Way and Gema Ramírez-Sánchez.
– An efficient method to assist non-expert users in extending dictionaries by assigning stems and inflectional paradigms to unknown words
Miquel Esplà-Gomis, Víctor M. Sánchez-Cartagena, Juan A. Pérez-Ortiz, Felipe Sánchez-Martínez, Mikel L. Forcada and Rafael C. Carrasco
Moreover, a poster dedicated to the Abu-MaTran project was presented during the conference, as well as a demo of our tourism-specific Machine Translation system working on a mobile phone.