The society of mind
A statistical approach to machine translation
Computational Linguistics
The mathematics of statistical machine translation: parameter estimation
Computational Linguistics - Special issue on using large corpora: II
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 1
Topic spotting common sense translation assistant
CHI '05 Extended Abstracts on Human Factors in Computing Systems
BLEU: a method for automatic evaluation of machine translation
ACL '02 Proceedings of the 40th Annual Meeting on Association for Computational Linguistics
Statistical phrase-based translation
NAACL '03 Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology - Volume 1
Improved statistical alignment models
ACL '00 Proceedings of the 38th Annual Meeting on Association for Computational Linguistics
The Alignment Template Approach to Statistical Machine Translation
Computational Linguistics
MindNet: an automatically-created lexical resource
HLT-Demo '05 Proceedings of HLT/EMNLP on Interactive Demonstrations
Automatic evaluation of machine translation quality using n-gram co-occurrence statistics
HLT '02 Proceedings of the second international conference on Human Language Technology Research
Moses: open source toolkit for statistical machine translation
ACL '07 Proceedings of the 45th Annual Meeting of the ACL on Interactive Poster and Demonstration Sessions
A systematic comparison of phrase-based, hierarchical and syntax-augmented statistical MT
COLING '08 Proceedings of the 22nd International Conference on Computational Linguistics - Volume 1
GloBuddy, a dynamic broad context phrase book
CONTEXT'03 Proceedings of the 4th international and interdisciplinary conference on Modeling and using context
Statistical Machine Translation: Little Changes Big Impacts
STIL '09 Proceedings of the 2009 Seventh Brazilian Symposium in Information and Human Language Technology
Using common sense to recognize cultural differences
IBERAMIA-SBIA'06 Proceedings of the 2nd international joint conference, and Proceedings of the 10th Ibero-American Conference on AI 18th Brazilian conference on Advances in Artificial Intelligence
Using cultural knowledge to assist communication between people with different cultural background
Proceedings of the 28th ACM International Conference on Design of Communication
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This paper reports an ongoing work in applying Common Sense knowledge to Machine Translation aiming at generating more culturally contextualized translations. Common Sense can be defined as the knowledge shared by a group of people in a given time, space and culture; and this knowledge, here, is represented by a semantic network called ConceptNet. Machine Translation, in turn, is the automatic process of generating an equivalent translated version of a source sentence. In this work we intend to use the knowledge represented in two ConceptNets, one in Brazilian Portuguese and another in English, to fix/filter translations built automatically. So, this paper presents the initial ideas of our work, the steps taken so far as well as some opportunities for collaboration.