Portable Parallel Translation Machine for Multi-Dictionary Systems

This paper implements an open source multi-dictionary parallel-translation machine using the Python programming language. The implementation parallelizes the translations of English words into three different languages (German, Ibibio and French). The research model has adaptability for n-languages, which could be implemented by adding n-process threads to the current design and building ndictionaries in a Python compatible database format. To evaluate the performance of this design, a sequential version of the parallel-translation machine was also developed and compared with the parallel version. It was observed that on the average, for ten (10) existing words randomly selected from a database of four hundred and six (406) words, the processing time for translations in the paralleltranslation machine was faster than its sequential version.