Text corpus is important for assessment of language features and variation analysis. Machine learning techniques identify the language terms, features, text structures and sentiment from linguistic corpus. Sindhi language is one of the oldest languages of the world having proper script and complete grammar. Sindhi is remained less resourced language computationally even in this digital era. Vie...

The 4.6-kb region 5'-upstream from the gene encoding a cobalt-containing and amide-induced high molecular mass-nitrile hydratase (H-NHase) from Rhodococcus rhodochrous Jl was found to be required for the expression of the H-NHase gene with a host-vector system in a Rhodococcus strain. Sequence analysis has revealed that there are at least five open reading frames (H-ORF1-~5) in addition to HNHa...

We use a Dynamic Bayesian Network (DBN) to build a compact representation of the features relevant to Part-of-Speech (PoS) tagging (Word, Suffix, Prefix, Capitalization, Hyphen, Numeric and Previous Tag). The outcome is a flexible tagger (LegoTag) with state-of-the-art performance (3.6% error on a benchmark corpus). We explore the effect of radically reducing the size of feature vocabularies fo...

Most of the world’s 7000 languages are still lacking freely available language resources. This lack of resources forms a major bottleneck in the processing of those languages and prevents them form being more widely used. To overcome current limitations, researchers might profit from studying the cooperation in free software projects or Wiki-projects. In this paper, we explore such models of ’o...