This paper addresses syntax-based paraphrasing methods for Recognizing Textual Entailment (RTE). In particular, we describe a dependency-based paraphrasing algorithm, using the DIRT data set, and its application in the context of a straightforward RTE system based on aligning dependency trees. We find a small positive effect of dependency-based paraphrasing on both the RTE3 development and test...

This study aimed to investigate the mechanical engineering vocational education students’ difficulties in making paraphrasing academic writing course and use of online tools overcoming those difficulties. The data were taken from two questionnaires distributed students regarding problems mentioned previously. items adapted Paraphrasing Strategy theory by Schuemann (2006), Kirszner (2008) which ...

Abstract Idioms are a kind of idiomatic expression in Chinese, most which consist four Chinese characters. Due to the properties non-compositionality and metaphorical meaning, idioms hard be understood by children non-native speakers. This study proposes novel task, denoted as Idiom Paraphrasing (CIP). CIP aims rephrase idiom-containing sentences non-idiomatic ones under premise preserving orig...

This paper investigates to what extent the use of paraphrasing in translation memory (TM) matching and retrieval is useful for human translators. Current translation memories lack semantic knowledge like paraphrasing in matching and retrieval. Due to this, paraphrased segments are often not retrieved. Lack of semantic knowledge also results in inappropriate ranking of the retrieved segments. Gu...

in this paper we present a new dimension to paraphrasing text in which characteristics of the original text motivate strategies for effective pacaphrasing. Our system combines two existing robust components: the IRIJS-.II natural language underst~mding system and the SPOKESMAN generation system. We describe the architectur(: of the system and enhancements made to these components to facilitate ...

We consider the problem of automatically paraphrasing a text in order to find an equivalent text that contains a given acrostic. A text contains an acrostic, if the first letters of a range of consecutive lines form a word or phrase. Our approach turns this paraphrasing task into an optimization problem: we use various existing and also new paraphrasing techniques as operators applicable to int...

We address the text-to-text generation problem of sentence-level paraphrasing — a phenomenon distinct from and more difficult than wordor phrase-level paraphrasing. Our approach applies multiple-sequence alignment to sentences gathered from unannotated comparable corpora: it learns a set of paraphrasing patterns represented by word lattice pairs and automatically determines how to apply these p...

We present ParaMetric, an automatic evaluation metric for data-driven approaches to paraphrasing. ParaMetric provides an objective measure of quality using a collection of multiple translations whose paraphrases have been manually annotated. ParaMetric calculates precision and recall scores by comparing the paraphrases discovered by automatic paraphrasing techniques against gold standard alignm...