In the last ongoing years, there has been a significant ascending on the field of Natural Language Processing (NLP) for performing multiple tasks including English Language Teaching (ELT). An effective strategy to favor the learning process uses interactive devices to engage learners in their self-learning process. In this work, we present a working prototype of a humanoid robotic system to assist English language self-learners through text generation using Long Short Term Memory (LSTM) Neural Networks. The learners interact with the system using a Graphic User Interface that generates text according to the English level of the user. The experimentation was conducted using English learners and the results were measured accordingly to International English Language Testing System (IELTS) rubric. Preliminary results show an increment in the Grammatical Range of learners who interacted with the system.

翻译：近年来，自然语言处理领域在英语教学等多项任务中取得了显著进展。促进学习过程的有效策略是利用交互式设备吸引学习者进行自主学习。本研究提出了一种人形机器人系统的功能原型，通过长短期记忆神经网络生成文本，辅助英语学习者进行自主学习。学习者通过图形用户界面与系统交互，系统根据用户英语水平生成相应文本。实验以英语学习者为对象，并依据国际英语语言测试系统评分标准对结果进行测评。初步结果显示，使用该系统学习者的语法范围有所提升。