“Right to Privacy and Freedom of Press - Conflicts and Challenges”

India is a signatory to the United Nations Declaration of Human Rights 1948 and the International Covenant on Civil and Political 1966, the two major International instruments, building the foundations of the major democracies and the constitutions of the world. Both these instruments give an independent and upper position to right to privacy compared to right to freedom of speech and expression. The freedom of press finds its place under this right to freedom of speech and expression. Both these rights are the two opposite faces of the same coin. Therefore, without the right of privacy finding an equal place in Indian law compared to right to freedom of speech and expression, the working of democracy would be severely handicapped and violations against citizens rights will be on the rise It was this problem in law and need to bring a balance between these two conflicting rights that induced me to undertake this venture. This heavy burden to bring in a mechanism to balance these two rights culminated in me to undertake this thesis titled “Right to Privacy and Freedom of Press – Conflicts and Challenges

Author Identification in Malayalam using n-grams

Author identification is the problem of identifying the author of an anonymous text or text whose authorship is in doubt from a given set of authors. The works by different authors are strongly distinguished by quantifiable features of the text. This paper deals with the attempts made on identifying the most likely author of a text in Malayalam from a list of authors. Malayalam is a Dravidian language with agglutinative nature and not much successful tools have been developed to extract syntactic & semantic features of texts in this language. We have done a detailed study on the various stylometric features that can be used to form an authors profile and have found that the frequencies of word collocations can be used to clearly distinguish an author in a highly inflectious language such as Malayalam. In our work we try to extract the word level and character level features present in the text for characterizing the style of an author. Our first step was towards creating a profile for each of the candidate authors whose texts were available with us, first from word n-gram frequencies and then by using variable length character n-gram frequencies. Profiles of the set of authors under consideration thus formed, was then compared with the features extracted from anonymous text, to suggest the most likely author.