arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2008.01546cs.CL
收藏

基于N-gram模型的库尔德语Sorani和Kurmanji下一个单词预测

Next word prediction based on the N-gram model for Kurdish Sorani and Kurmanji

Sulaimani Polytechnic University（苏莱曼尼理工大学）；University of Kurdistan Hewler（库尔德斯坦休勒大学）

Hozan K. Hamarashid, Soran A. Saeed, Tarik A. Rashid

备注：
37 pages
发表信息：
Neural Computing and Applications, NCAA-D-19-02773R1, 2020
阅读 PDF
arXiv 页面 ↗HTML 原文 ↗

摘要：

下一个单词预测是一种输入技术，它通过建议用户选择下一个单词来简化打字过程，因为在对话中打字会消耗时间。以前的一些研究集中在库尔德语上，包括使用下一个单词预测。然而，缺乏库尔德语文本语料库是一个挑战。此外，库尔德语缺乏足够数量的N元语法，例如五个元语法，这是很少使用下一个库尔德词预测的原因。此外，Rstudio软件中几个库尔德字母的不正确显示是另一个问题。本文提供了一个库尔德语语料库，创建了五个，并提出了一个独特的研究工作，下一个词的预测库尔德语索拉尼和库尔曼吉。N-gram模型已用于下一个单词预测，以减少库尔德语打字的时间。此外，很少有工作已经进行了下一个库尔德语单词预测，因此，N-gram模型被用来准确地建议文本。为此，使用R编程和RStudio来构建应用程序。该模型的准确率为96.3%。

英文摘要：

Next word prediction is an input technology that simplifies the process of typing by suggesting the next word to a user to select, as typing in a conversation consumes time. A few previous studies have focused on the Kurdish language, including the use of next word prediction. However, the lack of a Kurdish text corpus presents a challenge. Moreover, the lack of a sufficient number of N-grams for the Kurdish language, for instance, five grams, is the reason for the rare use of next Kurdish word prediction. Furthermore, the improper display of several Kurdish letters in the Rstudio software is another problem. This paper provides a Kurdish corpus, creates five, and presents a unique research work on next word prediction for Kurdish Sorani and Kurmanji. The N-gram model has been used for next word prediction to reduce the amount of time while typing in the Kurdish language. In addition, little work has been conducted on next Kurdish word prediction; thus, the N-gram model is utilized to suggest text accurately. To do so, R programming and RStudio are used to build the application. The model is 96.3% accurate.

机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。

↑