摘要：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.
