Human Rights Violations in Police Custody

Human rights are the basic rights of every individual against the state or any other public authority as a member of the human family irrespective of any other consideration. Thus every individual of the society has the inherent right to be treated with dignity in all situations including arrest and keeping in custody by the police. Rights of an individual in police custody are protected basically by the Indian Constitution and by various other laws like Code of Criminal Procedure, Evidence Act, Indian Penal Code and Protection of Human Rights Act. The term `custody' is defined neither in procedural nor in substantive laws. The word custody means protective care. The expression `police custody' as used in sec. 27 of Evidence Act does not necessarily mean formal arrest. In India with special reference to Kerala and evolution and development of the concept of human rights and various kinds of human rights violations in police custody in different stages of history. Human rights activists and various voluntary organisations reveals that there are so many factors contributing towards the causes of violations of human rights by police. Sociological causes like ambivalent outlook of the society with respect to the use of third degree methods by the police, economic causes like meager salary and inadequate living conditions, rampant corruption in police service, unnecessary political interference in the crime investigation, work load of police personnel without any time limit and periodic holidays, unnecessary pressure from superior police officers and the general public for speedy detection causing great mental strain to the investigating officers, defective system of recruitment and training, imperfect system of investigation and lack of public co-operation are some of the factors identified in the field survey towards the causes of violations of human rights in police custody.

Techniques to Improve the word alignments in Statistical Machine Translation from English to Malayalam

In Statistical Machine Translation from English to Malayalam, an unseen English sentence is translated into its equivalent Malayalam translation using statistical models like translation model, language model and a decoder. A parallel corpus of English-Malayalam is used in the training phase. Word to word alignments has to be set up among the sentence pairs of the source and target language before subjecting them for training. This paper is deals with the techniques which can be adopted for improving the alignment model of SMT. Incorporating the parts of speech information into the bilingual corpus has eliminated many of the insignificant alignments. Also identifying the name entities and cognates present in the sentence pairs has proved to be advantageous while setting up the alignments. Moreover, reduction of the unwanted alignments has brought in better training results. Experiments conducted on a sample corpus have generated reasonably good Malayalam translations and the results are verified with F measure, BLEU and WER evaluation metrics