TextMix: using NLP and APIs to generate chunked sentence scramble tasks

Brendon Albertson
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引用次数: 0

Abstract

A Computer-Assisted Language Learning (CALL) application, TextMix, was developed as a proof-of-concept for applying Natural Language Processing (NLP) sentence chunking techniques to creating ‘sentence scramble’ learning tasks. TextMix addresses limitations of existing applications for creating sentence scrambles by using NLP to parse and scramble syntactic components of sentences, while connecting with Application Programming Interfaces (APIs) to provide repeated exposure to authentic sentences in the context of texts such as Wikipedia articles. In addition to identifying a novel application of NLP and APIs in CALL, this project highlights the need for teacher-friendly interfaces that prioritize pedagogically useful ways of chunking text.
TextMix:使用NLP和api来生成成组句拼读任务
一个计算机辅助语言学习(CALL)应用程序TextMix被开发出来,作为应用自然语言处理(NLP)句子分块技术来创建“句子混乱”学习任务的概念验证。TextMix通过使用NLP解析和打乱句子的句法成分,解决了现有应用程序创建句子混乱的限制,同时与应用程序编程接口(api)连接,在文本(如Wikipedia文章)的上下文中提供对真实句子的重复暴露。除了确定NLP和api在CALL中的新应用之外,该项目还强调了对教师友好的界面的需求,这些界面优先考虑对教学有用的文本分块方法。
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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