%0 Journal Article %1 GomesdeOliveira2011 %A Gomes de Oliveira, Rodrigo %A Anastasiou, Dimitra %D 2011 %J Tradumática %K thema:recurrent_neural_networks %T Comparison of SYSTRAN and Google Translate for English→ Portuguese %U http://revistes.uab.cat/tradumatica/article/view/14/pdf %V 9 %X Two machine translation (MT) systems, a statistical MT (SMT) system and a hybrid system (rule-based and SMT) were tested in order to compare various MT performances. The source language was English (EN) and the target language Portuguese (PT). The SMT tool gave much fewer errors than the hybrid system. Major problem areas of both systems concerned the transfer of verb systems from source to target language, and of the hybrid system the word-to-word translation, since its resources are mainly dictionaries and not corpora.

@article{GomesdeOliveira2011, abstract = {Two machine translation (MT) systems, a statistical MT (SMT) system and a hybrid system (rule-based and SMT) were tested in order to compare various MT performances. The source language was English (EN) and the target language Portuguese (PT). The SMT tool gave much fewer errors than the hybrid system. Major problem areas of both systems concerned the transfer of verb systems from source to target language, and of the hybrid system the word-to-word translation, since its resources are mainly dictionaries and not corpora.}, added-at = {2016-05-31T17:19:49.000+0200}, author = {{Gomes de Oliveira}, Rodrigo and Anastasiou, Dimitra}, biburl = {https://www.bibsonomy.org/bibtex/26ca79aea31041355eacb7a18c7fb4be8/ericrauch}, interhash = {8c23f283b263aa9f106f2c6859634fbb}, intrahash = {6ca79aea31041355eacb7a18c7fb4be8}, journal = {Tradum{\'{a}}tica}, keywords = {thema:recurrent_neural_networks}, timestamp = {2016-05-31T17:19:49.000+0200}, title = {{Comparison of SYSTRAN and Google Translate for English→ Portuguese}}, url = {http://revistes.uab.cat/tradumatica/article/view/14/pdf}, volume = 9, year = 2011 }