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Gujarati language is the Indo-Aryan language spoken by the Gujaratis, the people of the state of Gujarat of India. Gujarati is the one of the 22 official languages recognized by the Indian government. Gujarati script was adopted from Devanagari script. Approximately 3000 idioms are available in Gujarati language. Machine translation of any idiom is the challenging task because contextual information is important for the translation of a particular idiom. For the translation of Gujarati idioms into English or any other language, surrounding contextual words are considered for the translation of specific idiom in the case of ambiguity of the meaning of idiom. This paper experiments the IndoWordNet for Gujarati language for getting synonyms of surrounding contextual words. This paper uses n-gram model and experiments various window sizes surrounding the particular idiom as well as role of stop-words for correct context identification. The paper demonstrates the usefulness of context window in case of ambiguity in the meaning identification of idioms with multiple meanings. The results of this research could be consumed by any destination-independent machine translation system for Gujarati language.

India is a multi-lingual country. At present, there are 22 official languages in India. Gujarat is a state located in the western region of India. The Gujarati language is spoken by nearly 60 million people worldwide, making it the 26th most-spoken native language in the world. In Machine Translation System (MTS), one natural language gets translated to another language using computational applications with minimal human effort or without a real-time human interface. Many attempts have been done in Machine Translation System for Indian languages. Unfortunately, we do not have an efficient Machine Translation System today. This paper gives a brief description of approaches of Machine Translation and the work done for the Gujarati language.

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