ALTER: Auxiliary Text Rewriting Tool for Natural Language Generation
Qiongkai Xu, Chenchen Xu, Lizhen Qu

TL;DR
ALTER is a tool designed to assist in natural language generation tasks by providing traceable, flexible text rewriting support, including revision history and feedback mechanisms, to improve paraphrasing, simplification, and style transfer.
Contribution
It introduces a novel auxiliary text rewriting tool with revision history and feedback features to aid research and development in natural language generation.
Findings
Enhanced rewriting traceability and feedback support
Facilitates research in paraphrasing, simplification, and style transfer
Potential to improve quality and efficiency of NLG tasks
Abstract
In this paper, we describe ALTER, an auxiliary text rewriting tool that facilitates the rewriting process for natural language generation tasks, such as paraphrasing, text simplification, fairness-aware text rewriting, and text style transfer. Our tool is characterized by two features, i) recording of word-level revision histories and ii) flexible auxiliary edit support and feedback to annotators. The text rewriting assist and traceable rewriting history are potentially beneficial to the future research of natural language generation.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Code & Models
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsTopic Modeling · Text Readability and Simplification · Natural Language Processing Techniques
