基于LSTM编解码器结构的Covid-19阿姆哈拉语数据库自然语言接口

Ephrem Tadesse Degu, Rosa Tsegaye Aga
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引用次数: 0

摘要

COVID-19疫情在大多数地方仍然是一项挑战,因为缺乏最新信息,主要是对世界上讲和使用代表性不足的当地语言的人来说。埃塞俄比亚就是一个例子,在这个国家,几种土著语言的代表人数不足,资源不足。因此,构建一个交互界面,使用用户的本地语言和有组织的信息来响应用户的查询,这是一个重要的角色。在这项研究中,注意力增强编码器-解码器长短期记忆(LSTM)网络模型提出通过当地语言阿姆哈拉语向埃塞俄比亚人民提供有关大流行的充分信息。该模型将与COVID-19相关的阿姆哈拉语问题转换为相应的结构化查询语言(SQL)。该模型从为本研究开发的阿姆哈拉语COVID-19数据库中检索信息。该数据库包含经常被引用的COVID-19属性,如症状、预防、传播和常见问题。此外,还准备了一个并行的Amharic Question-SQL查询数据集来评估该模型。具有增强注意机制的LSTM网络已显示出明显的显著效果。在本研究中,还开发了用户交互界面。该界面使用拟议的模型,用阿姆哈拉语向有疑问的人提供有关大流行的信息。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Natural Language Interface for Covid-19 Amharic Database Using LSTM Encoder Decoder Architecture with Attention
The COVID-19 outbreak is still a challenge in most places because of lack of up-to-date information, primarily, to the people in the world who speak and use underrepresented local languages. Ethiopia is one example of a country where several in-digenous languages are under-represented and under-resourced. Thus, building an interactive interface that responds to users' query using their local language with organized information plays a significant role. In this study, attention-augmented Encoder-Decoder Long Short Term Memory(LSTM) network model has proposed to provide adequate information about the pandemic to the people of Ethiopia by their local language, Amharic. The model converts Amharic COVID-19 related questions into the corresponding structured query language (SQL). The model retrieves information from the Amharic COVID-19 database that has developed for this study. The database contains frequently referenced COVID-19 attributes such as symptoms, prevention, transmission and frequently asked questions. In addition, a parallel Amharic Question-SQL query dataset has been prepared to evaluate the model. The LSTM Network with augmented attention mechanism has shown a clear significant result. In this study, a user interactive interface has also developed. The interface uses the proposed model and provides information about the pandemic to the people with questions in Amharic.
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