Using natural language processing for analyzing Arabic poetry rhythm

Ahmed, Munef Abdullah; Trăușan-Matu, Ștefan

doi:10.1109/roedunet.2017.8123759

Cited by 8 publications

(6 citation statements)

References 8 publications

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“…The melodiousness of poems could be analyzed in many terms, such as rhythms and syllables used in the Poem, words, and meanings used in the Poem. Many foreign poems (non-Thai language poem) used Heuristics for analyzing rhythms and syllables in Brazilian poems [16] and use rule-based for analyzing syllables in Arabic poems [17]. In Chinese Poem, the Apriori algorithm [19] was used to analyze the links between characters and analyze the association between ancient poetry [20].…”

Section: Issn 2442-6571mentioning

confidence: 99%

The extraction of beautiful sound patterns from Sunthorn Phu’s poem using machine learning technique and internal rhyme rule

Suksanguan

Waijanya

Promrit

2021

Int. J. Adv. Intell. Informatics

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The melodious poems have been written from the distinctive features of poetry or based on each country's typical style. Especially, Thai poems which composed by the use of specific forming, such as Internal Rhyme to develop melodiousness. The most attractive and well-known poems were composed by a genius Thai poet named Sunthorn Phu. He is a role model for Thai poets. UNESCO honored him as the world’s great poet and the best role model in poetry works. In this article, we proposed extracting 15,796 sentences (Waks) of the beautiful sound patterns of Phra Aphai Mani’s tales by machine learning technology in conjunction with the rules of internal Rhyme Klon-Suphap by using the Apriori Algorithm. The extraction of vowel rhymes separated by a group of Waks including 1) Poem Wak No. 1; 2) Poem Wak No. 2; 3) Poem Wak No. 3; and 4) Poem Wak No. 4. In this article, “Wak” means sentence. The created tool can extract the internal rhyme patterns and the 25 popular pattern vowels. The popular pattern illustrates the melodiousness of the Poem and sets up a standard of how to melodiously compose a poem. Then, the evaluation of the experiments was done by using 144 Waks selected from the extraction of the beautiful patterns and evaluated by the consistency score from 3 experts. The average accuracy score resulted in 95.30%.

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Section: Issn 2442-6571mentioning

confidence: 99%

The extraction of beautiful sound patterns from Sunthorn Phu’s poem using machine learning technique and internal rhyme rule

Suksanguan

Waijanya

Promrit

2021

Int. J. Adv. Intell. Informatics

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“…Despite the pleasure we derive from these services, they are also prone to privacy and security risks [21,22]. As such, cryptography has been suggested as te ideal solution to these problems and many more [21,23,24]. Cryptography coms in differen formsbased on the number of keys employed; the tre major categories of cryptography are: a) Secret key cryptography: Both encryption and decryption proceses are implemented using a single key.…”

Section: Rsa Algorithmmentioning

confidence: 99%

An efficient hybrid model for secure transmission of data by using efficient data collection and dissemination (EDCD) algorithm based WSN

Akawee¹,

Al-Obaidi

Al-Hilfi

et al. 2020

IJEECS

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<span>Wireless Sensor Network (WSN) is one of the most important elements of the Internet of Things paradigm. Energy consumption is a vital issue in IoT and WSN. Security primitives in the IoT are energy consuming. Addressed the security issue for transmitted data by IoT sensor node add another challenge in term of energy consumption. finding the satisfactory solutions that reduce power consumption at the same time as making sure the required security services is not always an easy undertaking. Therefore, in this article, we proposed an efficient hybrid model for secure transmission of data from sensor nodes to receivers in WSN applications. The proposed model includes two algorithms Rivest–Shamir–Adleman (RSA) and efficient data collection and dissemination (EDCD). The key idea behind the proposed model is to prevent to secure sensed data if no significant change between the current data and the last transmitted data by the apply EDCD1 algorithm, which that will help in saving the sensor node energy. The reason for that the size of cipher data is so large compared to the sensed data, which that will increase the energy consumption. The outcome results shown that the proposed model has a high performance compared to RSA in term of energy consumption.</span>

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“…Hence, more research is needed, especially with regard to Arabic poetry, whether it is Al-hur Arabic poetry or classical Arabic poetry [1]. Research in this field requires extensive knowledge of all the rules of the Arabic language, its ramifications [2], and a full understanding of the theory of propositions for the Arab world. Furthermore [3], these studies rely on verbal content and not on emotions or feelings even though some studies relied on feelings in classifying the Arabic text by using machine learning (ML) [4].…”

Section: Introductionmentioning

confidence: 99%

A Classification of Al-hur Arabic Poetry and Classical Arabic Poetry by Using Support Vector Machine, Naïve Bayes, and Linear Support Vector Classification

Ahmed

2022

ijcsm

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Most of the world languages have made strides in analyzing and classifying texts electronically; hence, the use of electronic text has become a great alternative to manual classification as it reduces time, cost, and difficulty. However, in the Arabic language, electronic analysis has not progressed due to several limitations faced by researchers in this field, such as the complexity of the Arabic language, the lack of related research, as well as the use of the classical Arabic language. In addition, Arabic poetry has other limitations, such as the use of a system that uses a single activation function. In this research, a new method was developed for the classification of the classical Arabic poetry and Al-hur poetry. This new approach is based on features that indicate the type of poetry. Pre-processing of some data is important in this new approach as it helps increase the accuracy of classification

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Using natural language processing for analyzing Arabic poetry rhythm

Cited by 8 publications

References 8 publications

The extraction of beautiful sound patterns from Sunthorn Phu’s poem using machine learning technique and internal rhyme rule

The extraction of beautiful sound patterns from Sunthorn Phu’s poem using machine learning technique and internal rhyme rule

An efficient hybrid model for secure transmission of data by using efficient data collection and dissemination (EDCD) algorithm based WSN

A Classification of Al-hur Arabic Poetry and Classical Arabic Poetry by Using Support Vector Machine, Naïve Bayes, and Linear Support Vector Classification

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