Paraphrasing is expressing similar meanings with different words in different order. In this sense it is viewed as translation in the same language. It is an important issue in natural language processing for automatic machine translation, question answering, text summarization and language generation. Studies in paraphrasing can be classified as paraphrase extraction, paraphrase generation, pa...

Paraphrase can help match synonyms or match phrases with the same or similar meaning, thus it plays an important role in automatic evaluation of machine translation. The traditional approaches extract paraphrase in general domain from bilingual corpus. Because the WMT16 metrics task consists of three subtasks, namely news domain, medical domain, and IT domain, we propose to extract domainspecif...

This paper presents a report on Detecting Paraphrases in Indian Languages (DPIL), in particular the Tamil language, by the team NLP@KEC of Kongu Engineering College. Automatic paraphrase detection is an intellectual task which has immense applications like plagiarism detection, new event detection, etc. Paraphrase is defined as the expression of a given fact in more than one way by means of dif...

Paraphrase patterns are semantically equivalent patterns, which are useful in both paraphrase recognition and generation. This paper presents a pivot approach for extracting paraphrase patterns from bilingual parallel corpora, whereby the paraphrase patterns in English are extracted using the patterns in another language as pivots. We make use of log-linear models for computing the paraphrase l...

Common evaluation metrics for paraphrase patterns do not necessarily correlate with extrinsic recognition task performance. We propose a metric which gives weight to lexical variety in paraphrase patterns; our proposed metric has a positive correlation with paraphrase recognition task performance, with a Pearson correlation of 0.5~0.7 (k=10, with “strict” judgment) in a statistically significan...

We present a pointwise mutual information (PMI) based approach for formalizing paraphrasability and propose a variant of PMI, called mutual information based paraphrase acquisition (MIPA), for paraphrase acquisition. Our paraphrase acquisition method first acquires lexical paraphrase pairs by bilingual pivoting and then reranks them by PMI and distributional similarity. The complementary nature...

Abstract Poetry evokes mental imagery in its readers. But how is precisely related to poetry? This article provides a systematic treatment. It clarifies two roles of relation poetry—as an effect generated by poetry and as efficient means for understanding appreciating poetry. The also relates the discussion on ‘heresy paraphrase’. argues against orthodox view that imagistic effects cannot be ca...

Although paraphrasing is the linguistic mechanism underlying many plagiarism cases, little attention has been paid to its analysis in the framework of automatic plagiarism detection. Therefore, state-of-the-art plagiarism detectors find it difficult to detect cases of paraphrase plagiarism. In this article, we analyze the relationship between paraphrasing and plagiarism, paying special attentio...

Existing systems deliver high accuracy and F1-scores for detecting paraphrase and semantic similarity on traditional clean-text corpus. For instance, on the clean-text Microsoft Paraphrase benchmark database, the existing systems attain an accuracy as high as 0.8596. However, existing systems for detecting paraphrases and semantic similarity on user-generated short-text content on microblogs su...