This research is in the domain of Natural Language Processing and delves into statistical methods that are intrinsic to the input text, that is not needing any external corpus or training. The methods are used to calculate similarity of sentences in Hindi. The study is performed on sentence pairs in English and Hindi and the differences are analysed with the structural and grammar attributes of the languages. The methods chosen mathematically operate at different levels from character to phrase. The purpose is to identify methods at which a language performs differently than the other, and how different they are with the actual truth. The conclusions can be elemental when considering building larger applications that may need to use one of these methods or hybrid of these methods. An analysis on various methods applied on a sentence pair dataset with both the languages Hindi and English is conducted using visualisation of the produced output of these methods against their actual scores.