An important step towards effective software maintenance is to locate the code relevant to a
particular feature. We report a study applying an execution slice-based technique to a …

The field of natural language processing (aka NLP) is an intersection of the study of
linguistics, computation and statistics. The primary goal of NLP is automated understanding …

Statistical Machine Translation (SMT) is a preferred Machine Translation approach to
convert the text in a specific language into another by automatically learning translations …

The problem of tagging in natural language processing is to find a way to tag every word in a
text as a particular part of speech, eg, proper pronoun. POS tagging is a very important …

This paper proposes a rule based approach for sentiment analysis from Malayalam movie
reviews. The research in Sentiment Analysis nowadays become one among active research …

POS tagger is the process of assigning a correct tag to each word of the sentence. Accuracy
of all NLP tasks like grammar checker, phrase chunker, machine translation etc. depends …

ABSTRACT Natural Language Processing (NLP) is both a modern computational
technology and a method of investigating and evaluating claims about human language …

Over the past few years, researchers are showing huge interest in sentiment analysis and
summarization of documents. The primary reason being that huge volumes of information …

A parts of speech tagger for Malayalam which uses a stochastic approach has been
proposed. The tagger makes use of word frequencies and bigram statistics from a corpus …

A machine translation system converts text from a natural language to other while abiding to
the syntax and semantics of the latter. The area of interest here is a Rule Based machine …