An Overview of Statistical Machine Translation Tools
Mir Aadil, Mohammed Asger · International Journal of Advanced Research in Computer Science and Software Engineering · 2017
The process Machine translation is a combination of many complex sub-processes and the quality of results of each sub-process executed in a well defined sequence determine the overall accuracy of the translation. Statistical Machine Translation approach considers each sentence in target language as a possible translation of any source language sentence. The possibility is calculated by probability and as obvious, sentence with highest probability is treated as the best translation. SMT is the most favoured approach not only because of its good results for corpus rich language pairs, but also for the tools that SMT approach has been enhanced with in past two and half decades. The paper gives a brief introduction to SMT: its steps and different tools available for each step.