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Representing Tone in Levenshtein Distance

International Journal of Humanities and Arts Computing, 2008
Levenshtein distance, also known as string edit distance, has been shown to correlate strongly with both perceived distance and intelligibility in various Indo-European languages ( Gooskens and Heeringa, 2004 ; Gooskens, 2006 ). We apply Levenshtein distance to dialect data from Bai ( Allen, 2004 ), a Sino-Tibetan language, and Hongshuihe (HSH) Zhuang
Castro, Andy., Yang, Cathryn.
openaire   +1 more source

Arabic Sentiment Analysis on Mobile Applications Using Levenshtein Distance Algorithm and Naive Bayes

2022 2nd International Conference on Emerging Smart Technologies and Applications (eSmarTA), 2022
Due to the specificity of the characteristics and features of the Arabic language and its complexity, the field of sentiment analysis in Arabic texts still represents a major challenge.
Salah Al-Hagree, G. Al-Gaphari
semanticscholar   +1 more source

Spelling Correction Using the Levenshtein Distance and Nazief and Adriani Algorithm for Keyword Search Process Indonesian Qur'an Translation

International Conference on Intelligent Computing, 2022
The Qur'an consists of 114 letters which has a total of 6,236 verses and 77,340 words which contains a lot of important information. The length of time used to obtain the expected information becomes an obstacle when the search is done manually ...
M. Yahya   +4 more
semanticscholar   +1 more source

A Clustering Method of Encrypted Video Traffic Based on Levenshtein Distance

International Conference on Mobile Ad-hoc and Sensor Networks, 2021
In order to detect the playback of illegal videos, it is necessary for supervisors to monitor the network by analyzing traffic from devices. However, many popular video sites, such as YouTube, have applied encryption to protect users’ privacy, which ...
L. Yang   +4 more
semanticscholar   +1 more source

Kernels based on weighted Levenshtein distance

2004 IEEE International Joint Conference on Neural Networks (IEEE Cat. No.04CH37541), 2005
In some real world applications, the sample could be described as a string of symbols rather than a vector of real numbers. It is necessary to determine the similarity or dissimilarity of two strings in many training algorithms. The widely used notion of similarity of two strings with different lengths is the weighted Levenshtein distance (WLD), which ...
null Jianhua Xu, null Xuegong Zhang
openaire   +1 more source

K-Means Algorithm and Levenshtein Distance Algorithm for Sentiment Analysis of School Zonation System Policy

International Conference on Intelligent Computing, 2021
Equity and quality of education must be guaranteed in the national education system. To that end, the government issued a new student admission policy with a zoning system.
Muhammad Haris Al Farisi   +6 more
semanticscholar   +1 more source

Algoritma Levenshtein Distance sebagai Solusi Efisiensi Pencarian pada Training Registration System

Journal of Students' Research in Computer Science
The training registration process at Company XYZ faced several challenges, including the use of physical documents, slow file submission, non-standardized document numbering, and inefficient file storage.
Iqbal Faris Akbar   +3 more
semanticscholar   +1 more source

Perbandingan Levenshtein Distance Dan Jaro-Winkler Distance Untuk Koreksi Kata Dalam Preprocessing Analisis Sentimen Pengguna Twitter

Jurnal Fokus Elektroda : Energi Listrik, Telekomunikasi, Komputer, Elektronika dan Kendali), 2021
Pada analisis sentimen pengguna twitter dibutuhkan tahap preprocessing sebelum mengklasifikasikan sentimen. Preprocessing digunakan untuk menyaring kata yang dianggap perlu untuk kebutuhan klasifikasi.
M. Nur
semanticscholar   +1 more source

Parallel Computations of Levenshtein Distances

1997
This chapter discusses parallel solutions for the string editing problem introduced in Chapter 5. The model of computation used is the synchronous, shared - memory machine referred to as PRAM and discussed also earlier in this book. The algorithms of this chapter are based on the CREW and CRCW variants of the PRAM.
A. Apostolico, M.J. Atallah
openaire   +1 more source

Online Handwriting Recognition Using Levenshtein Distance Metric

2013 12th International Conference on Document Analysis and Recognition, 2013
In this article, we propose a novel scheme for online handwritten character recognition based on Levenshtein distance metric. Both shape and position information are considered in our feature representation scheme. The shape information is encoded by a string of quantized values of angular displacements between successive sample points along the ...
S. Dutta Chowdhury   +2 more
openaire   +1 more source

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