Pivoting on bilingual parallel corpora is a popular approach for paraphrase acquisition. Although such pivoted paraphrase collections have been successfully used to improve the performance of several different NLP applications, it is still difficult to get an intrinsic estimate of the quality and coverage of the paraphrases contained in these collections. We present ParaQuery, a tool that helps...

Progress in statistical paraphrase generation has been hindered for a long time by the lack of large monolingual parallel corpora. In this paper, we adapt the neural machine translation approach to paraphrase generation and perform transfer learning from the closely related task of entailment generation. We evaluate the model on the Microsoft Research Paraphrase (MSRP) corpus and show that the ...

We propose a novel approach to improve SMT via paraphrase rules which are automatically extracted from the bilingual training data. Without using extra paraphrase resources, we acquire the rules by comparing the source side of the parallel corpus with the target-to-source translations of the target side. Besides the word and phrase paraphrases, the acquired paraphrase rules mainly cover the str...

The authors used the computational tool Coh-Metrix to examine expert writers’ paraphrases and in particular, how experts paraphrase text passages using condensing strategies. The overarching goal of this study was to develop machine learning algorithms to aid in the automatic detection of paraphrases and paraphrase types. To this end, three experts were instructed to paraphrase by condensing a ...

We figure out a trap that is not carefully addressed in the previous works using lexicons or ontologies to train or improve distributed word representations: For polysemous words and utterances changing meaning in different contexts, their paraphrases or related entities in a lexicon or an ontology are unreliable and sometimes deteriorate the learning of word representations. Thus, we propose a...

It is becoming increasingly difficult to judge the originality of digital content, especially with the continuously growing corpus of digital text. Traditional methods such as n-gram overlap are susceptible to simple obfuscation techniques. In this paper, we investigate several methods of measuring sentence similarity, with particular emphasis on paraphrase detection. We show that a bag-of-vect...

Paraphrasing is expressing the same semantic content using different linguistic means. Although previous work has addressed linguistic variations at different levels of language, paraphrasing in Turkish has not been yet thoroughly studied. This paper presents the first study towards Turkish paraphrase alignment. We perform an analysis of different types of paraphrases on a modest Turkish paraph...