Creation of a multi-paraphrase corpus based on various elementary operations

Johanes Effendi, S. Sakti, Satoshi Nakamura
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引用次数: 1

Abstract

Paraphrases resemble monolingual translations from a source sentence into other sentences that must preserve the original meaning. To build automatic paraphrasing, a collection of paraphrased expressions is required. However, manually collecting paraphrases is expensive and time-consuming. Most existing paraphrases corpora cover only one-to-one parallel sentences and neglect the fact that possible variants of paraphrases can be generated from a single source sentence. The manipulation applied to the original sentences is also difficult to track. Furthermore, a single corpus is mostly dedicated to a single application that is not reusable in other applications. In this research, we construct a paraphrase corpus based on various elementary operations (reordering, substitution, deletion, insertion) in a crowdsourcing platform to generate multi- paraphrase sentences from a source sentence. These elementary paraphrase operations can be utilized for various applications (i.e., deletion for summarization and reordering for machine translation). Our evaluations show the richness and effectiveness of our created corpus.
基于各种基本操作的多释义语料库的创建
意译类似于从一个源句子到其他句子的单语翻译,必须保持原意。要构建自动释义,需要一个释义表达式的集合。然而,手动收集释义既昂贵又耗时。大多数现有的意译语料库只涵盖了一对一的平行句子,而忽略了一个事实,即意译的可能变体可以从一个单一的源句中产生。对原始句子的篡改也很难追踪。此外,单个语料库主要专用于单个应用程序,不能在其他应用程序中重用。在本研究中,我们在一个众包平台上构建了一个基于各种基本操作(重新排序、替换、删除、插入)的释义语料库,从一个源句子生成多个释义句子。这些基本的释义操作可以用于各种应用程序(例如,删除摘要和重新排序机器翻译)。我们的评估显示了我们创建的语料库的丰富性和有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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