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Classifications of subsets in the finite projective line
The main purpose of this paper is to classify k-sets in projective linePG(1, 29) which are a set of k projective distinct points. The projective line has been classified into k -set, k = 3,4, …,10, equivalent and inequivalent. Also, the projective equation of the fc-sets and the stabilizer groups of them are constructed. All the computations are doing by using the Group’s algorithm language GAP[7].
Journal Article
Investigating Back-Translation in Tibetan-Chinese Neural Machine Translation
In recent years, the proposal of neural network has provided new idea for solving natural language processing, and at the same time, neural machine translation has become the frontier method of machine translation. In low-resource languages, due to the sparse bilingual data, the model needs more high-quality data, and the translation quality fails to achieve the desired effect. In this paper, experiments on neural network machine translation based on attention are conducted on Tibetan-Chinese language pairs, and transfer learning method combined with back translation method is used to alleviate the problem of insufficient Tibetan-Chinese parallel corpus. Experimental results show that the proposed transfer learning combined with back translation method is simple and effective. Compared with traditional translation methods, the translation effect is significantly improved. From the analysis of translation, it can be seen that the citation of Tibetan-Chinese neural machine translation is smoother, which is greatly improved compared to the translation without back translation. At the same time, there are common deficiencies in neural machine translation such as inadequate translation and low translation loyalty.
Journal Article
Digital Life Analysis Based on R
Based on R language ggplot2 and wordcloud2, this paper analyzes, collects and visualizes the collected personal behavior data sets, and completes the interpretation of personal digital life.
Journal Article
Answering Islamic Questions with a Chatbot using Fuzzy String-Matching Algorithm
The guidance of Muslims in worship refers to the holy Quran and the hadith. Not all people understand the law related to a case in accordance with Islamic teachings. Questions relating to a matter based on Islamic law are widely circulated on the Internet with long and detailed answers. This is good but for some people, a short and direct answer to the core is the desired answer, of course in accordance with the majority of Muslim scholars. One of the many technologies that can be used to answer questions is chatbot. A chatbot is one of many implementations of Natural Language Preprocessing. In this study, the chatbot can find answers to questions in accordance with Islamic law using the fuzzy string-matching algorithm. The research test data were obtained from several people who used chatbot directly by looking at pairs of questions and answers whether they were appropriate or not. The accuracy of the test is 70.37% and the chatbot's performance is quite good.
Journal Article
Lexical modal in political languages in America
Language in politics is directed towards the achievement of political objectives, that is gaining power or maintaining power. The language of the politicians is aiming to attract the attention of voters which can be seen in various campaign media, such as banners, advertisements, social media, and excerpts from interviews in the mass media. This research is descriptive research. This research describes the choice of words spoken by the political elite in representing their power. The data in this study are Donald Trump's remarks relating to power. The data source in this study is the Corpus of Contemporary American English (COCA). The results of this study found that the choice of words used by Donald Trump is the use of sentence structures in the form of modal lexical.
Journal Article