However, no such research integrating linguistic information to machine translation has been conducted for the Sinhala-Tamil language pair. According to literature, morphologically rich and low resourced language pairs can benefit from integrating linguistic information in to the machine translation process. However, still there is very limited research on languages which are both morphologically rich and low resourced. Currently, statistical machine translation approach is the most successful approach in machine translation world. Machine translation is an intellectually challenging branch of artificial intelligence which involves automatically translating from one natural language to another using a computer. These reasons motivated us to develop a machine translation system for languages with limited text resources and morphologically rich: Sinhala and Tamil. While a few attempts using ‘toy’ systems have been developed in the past, an acceptable level automatic machine translation system in both directions (Sinhala to Tamil and Tamil to Sinhala) has so far not been developed. One of the long standing national issues in Sri Lanka stems from the fact that the two main people groups are conceptually isolated by the language barrier which keeps Sinhala speakers apart from Tamil speakers.
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