Yandex School of Data Analysis approach to English-Turkish translation at WMT16 News Translation Task
نویسندگان
چکیده
We describe the English-Turkish and Turkish-English translation systems submitted by Yandex School of Data Analysis team to WMT16 news translation task. We successfully applied hand-crafted morphological (de-)segmentation of Turkish, syntax-based pre-ordering of English in English-Turkish and post-ordering of English in Turkish-English. We perform desegmentation using SMT and propose a simple yet efficient modification of postordering. We also show that Turkish morphology and word order can be handled in a fully-automatic manner with only a small loss of BLEU.
منابع مشابه
Yandex School of Data Analysis Machine Translation Systems for WMT13
This paper describes the English-Russian and Russian-English statistical machine translation (SMT) systems developed at Yandex School of Data Analysis for the shared translation task of the ACL 2013 Eighth Workshop on Statistical Machine Translation. We adopted phrase-based SMT approach and evaluated a number of different techniques, including data filtering, spelling correction, alignment of l...
متن کاملThe Edinburgh/LMU Hierarchical Machine Translation System for WMT 2016
This paper describes the hierarchical phrase-based machine translation system built jointly by the University of Edinburgh and the University of Munich (LMU) for the shared translation task at the ACL 2016 First Conference on Machine Translation (WMT16). The WMT16 Edinburgh/LMU system was trained for translation of news domain texts from English into Romanian. We participated in the shared task...
متن کاملYandex School of Data Analysis Russian-English Machine Translation System for WMT14
This paper describes the Yandex School of Data Analysis Russian-English system submitted to the ACL 2014 Ninth Workshop on Statistical Machine Translation shared translation task. We start with the system that we developed last year and investigate a few methods that were successful at the previous translation task including unpruned language model, operation sequence model and the new reparame...
متن کاملFrame Labeling of Competing Narratives in Journalistic Translation
Studying translations during the time of conflict has gained currency in the recent decade in translation studies. One of the cases in which conflict manifests itself is in the way different countries choose to name an event or a geographical location, for example. This study set out to understand how translation of rival names and labeling was carried out in Iranian state-run news agencies. To...
متن کاملContrastive Analysis of Political News Headlines Translation According to Berman’s Deformative Forces
The present research aimed at investigating the deformation of political news headlines translation between English and Persian News Agencies based on Berman`s deformative system. For this purpose, 100 news headlines in English were selected from BBC, Reuters, Associated Press, France, France 24, Financial Times, Business Times, New York Times, Politico, Guardian, CNN, Bloomberg, Middle East Ey...
متن کامل