We present initial investigation into the task of paraphrasing language while targeting a particular writing style. The plays of William Shakespeare and their modern translations are used as a testbed for evaluating paraphrase systems targeting a specific style of writing. We show that even with a relatively small amount of parallel training data, it is possible to learn paraphrase models which...

Lexical paraphrasing is an inherently context sensitive problem because a word’s meaning depends on context. Most paraphrasing work finds patterns and templates that can replace other patterns or templates in some context, but we are attempting to make decisions for a specific context. In this paper we develop a global classifier that takes a word v and its context, along with a candidate word ...

A precise and commonly accepted definition of paraphrasing does not exist. This is one of the reasons that have prevented computational linguistics from a real success when dealing with this phenomenon in its systems and applications. With the aim of helping to overcome this difficulty, in this article, new insights on paraphrase characterization are provided. We first overview what has been sa...

The term "paraphrasing" refers to the process of presenting sense an input text in a new way while preserving fluency. Scientific research distribution is gaining traction, allowing both rookie and experienced scientists participate their respective fields. As result, there now massive demand for paraphrase tools that may efficiently effectively assist modifying statements order avoid plagiaris...

Automatic paraphrasing is a transformation of expressions into semantically equivalent expressions within one language. For generating a wider variety of phrasal paraphrases in Japanese, it is necessary to paraphrase functional expressions as well as content expressions. We propose a method of paraphrasing of Japanese functional expressions using a dictionary with two hierarchies: a morphologic...

Out-of-vocabulary (OOV) word is a crucial problem in statistical machine translation (SMT) with low resources. OOV paraphrasing that augments the translation model for the OOV words by using the translation knowledge of their paraphrases has been proposed to address the OOV problem. In this paper, we propose using word embeddings and semantic lexicons for OOV paraphrasing. Experiments conducted...

The effectiveness of two repair strategies, repetition and paraphrasing, in enhancing speechreading performance was evaluated on 20 young adults with normal hearing using both word and sentence test stimuli. Both strategy types produced significant improvement, and the repeat strategy yielded the greatest gains overall. Paraphrasing resulted in the most enhancement for words, while repetition w...