Power-Law Distributions for Paraphrases Extracted from Bilingual Corpora

Paraphrasing Revisited with Neural Machine Translation

Recognizing and generating paraphrases is an important component in many natural language processing applications. A well-established technique for automatically extracting paraphrases leverages bilingual corpora to find…

The Multilingual Paraphrase Database

We release a massive expansion of the paraphrase database (PPDB) that now includes a collection of paraphrases in 23 different languages. The resource is derived from large volumes of bilingual parallel data. Our collect…

Improving Statistical Machine Translation Accuracy Using Bilingual Lexicon Extractionwith Paraphrases

Optimizing Statistical Machine Translation for Text Simplification

Most recent sentence simplification systems use basic machine translation models to learn lexical and syntactic paraphrases from a manually simplified parallel corpus. These methods are limited by the quality and quantit…

Large-Scale, Diverse, Paraphrastic Bitexts via Sampling and Clustering

Producing diverse paraphrases of a sentence is a challenging task. Natural paraphrase corpora are scarce and limited, while existing large-scale resources are automatically generated via back-translation and rely on beam…