NSOAMT -- New Search Only Approach to Machine Translation

TL;DR

This paper introduces NSOAMT, a new search-only approach to machine translation that uses indexed semantic word sets to improve translation speed and accuracy for specific document types.

Contribution

It proposes a novel indexing-based method for machine translation tailored to limited vocabulary contexts, aiming to overcome slowness and inaccuracies of existing technologies.

Findings

Developed a translation tool based on the approach

Analyzed electronic texts to validate the premise

Results showed limited effectiveness but a functional tool was created

Abstract

Translation automation mechanisms and tools have been developed for several years to bring people who speak different languages together. A "new search only approach to machine translation" was adopted to tackle some of the slowness and inaccuracy of the other technologies. The idea is to develop a solution that, by indexing an incremental set of words that combine a certain semantic meaning, makes it possible to create a process of correspondence between their native language record and the language of translation. This research principle assumes that the vocabulary used in a given type of publication/document is relatively limited in terms of language style and word diversity, which enhances the greater effect of instantaneously and rigor in the translation process through the indexing process. A volume of electronic text documents where processed and loaded into a database, and analyzed and measured in order confirm the previous premise. Although the observed and projected metric values did not give encouraging results, it was possible to develop and make available a translation tool using this approach.