Machine Translation for the Portuguese language Using Words Distributed Representations
Fillipe Madureira, Hendrik Macedo
Journal of Intelligent Computing, Vol. 8, No. 4, 2017.
DOI: 
Link: http://www.dline.info/jic/fulltext/v8n4/jicv8n4_3.pdf
Abstract:
Machine Translation is a highly demanding research field in natural language processing. The goal is to
investigate a model which can automatically translate a document from one language to another. The mainstream approach
for that is the Phrase-based Machine Translation (PBMT). In [9], a innovative method based on distributed representations
was proposed to automate the process of generating dictionaries and phrase tables of PBMT-based solutions, that primarily
rely on raw counts. In this paper, as in the Mikolovâ€™s, we have used distributed representations of words to perform automatic
machine translation between languages but, unlike it, we have included the Portuguese language in the analysis which,
actually, is the primary goal of our work. We have properly evaluated the performance in regards to Precision metrics. Results
shows a precision of up to 89% if we consider translation between the Portuguese and the English.