Natural Language Processing Principles for Improving Deaf Writing

该项目的目标是设计一个计算机系统， 提高听力受损者的写作技巧， 写作能力落后于听力正常的同龄人。 这种系统的好处取决于系统的能力， 发现错误并提供有益的纠正建议。 的 工作将借鉴第二语言习得和 美国手语和英语的语言学比较 以及对听力受损者书写样本的分析， 个人，以制定一个分类的预期错误。 预期的错误将作为注释的“mal-rules”添加到 英语语法 在解析包含以下内容之一的句子时， 识别的错误，系统将使用注释来 产生一个正确的反应。 然后，可以在 为了获取纠正用户的错误所需的信息， 输入句子。 最后，将生成一个正确的句子。 除了对听力受损者有潜在的好处外， 人口，这项工作将导致一个真正的智能 计算机辅助教学系统，这将需要进步， 自然语言处理能力。 尤其是， 将在处理不良输入方面取得进展， 在确定足够的代表性， 一代

The objective of the project is to design a computer system aimed at improving the writing skills of the hearing impaired whose writing ability lags behind that of their hearing counterparts. The benefit of such a system hinges on the system's ability to detect errors and to offer beneficial corrective advice. The work will draw on work in second language acquistion and a linguistic comparison of American Sign Language and English as well as analysis of writing samples from hearing impaired individuals, in order to develop a taxonomy of expected errors. The expected errors will be added as annotated "mal-rules" to a grammar of English. Upon parsing a sentence containing one of the identified errors, the system will use the annotations to generate a corrective response. The user may then be queried in order to acquire information necessary to correct the user's input sentence. Finally, a correct sentence will be generated. In addition to the potential benefit to the hearing impaired population, this work will lead toward a truly intelligent computer aided instruction system which will require advances in current natural language processing capabilities. In particualr, advances will be made in dealing will ill-formed input as well as in identifying sufficient representations for sencence generation.