Identifying paraphrase in Malayalam language is difficult task because it is a highly
agglutinative language and the linguistic structure in Malayalam language is complex …

This paper presents an approach to the problem of paraphrase identification in English and
Indian languages using Convolutional Neural Network (CNN) and Recurrent Neural …

Detecting paraphrases in Indian languages require critical analysis on the lexical, syntactic
and semantic features. Since the structure of Indian languages differ from the other …

Paraphrasing is the expressing the already said sentence with rewording but without
changing its inherent meaning. Hence, different structured sentences may carry the similar …

Paraphrasing refers to the sentences that either differs in their textual content or dissimilar in
rearrangement of words but convey the same meaning. Identifying a paraphrase is …

In this paper, we present a system that detects paraphrases in Indian Languages-Hindi,
Punjabi, Malayalam and Tamil. Our paraphrase detection method uses machine learning …

Model-based approaches for context-sensitive contrastive summarization depend on hand-
crafted features for producing a summary. Deriving these hand-crafted features using …

Paraphrase detection, one of challenging task in NLP is to detect whether the given pair of
sentences which are rephrased or with word reordering are preserving the meaning …