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Wan Teng Tey, Tee Connie, Kan Yeep Choo and Michael Kah Ong Goh
Traditional methods used to identify and monitor insect species are time-consuming, costly, and fully dependent on the observer?s ability. This paper presents a deep learning-based cicada species recognition system using acoustic signals to classify the ...
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Ju-Sang Lee, Joon-Choul Shin and Choel-Young Ock
Natural language models brought rapid developments to Natural Language Processing (NLP) performance following the emergence of large-scale deep learning models. Language models have previously used token units to represent natural language while reducing...
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Athita Onuean, Uraiwan Buatoom, Thatsanee Charoenporn, Taehong Kim and Hanmin Jung
In handwriting recognition research, a public image dataset is necessary to evaluate algorithm correctness and runtime performance. Unfortunately, in existing Thai language script image datasets, there is a lack of variety of standard handwriting types. ...
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Wayit Abliz, Hao Wu, Maihemuti Maimaiti, Jiamila Wushouer, Kahaerjiang Abiderexiti, Tuergen Yibulayin and Aishan Wumaier
To improve utilization of text storage resources and efficiency of data transmission, we proposed two syllable-based Uyghur text compression coding schemes. First, according to the statistics of syllable coverage of the corpus text, we constructed a 12-b...
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Alfiya Galieva
Pág. 9 - 16
A quantitative analysis of syllable structures is the first and necessary stage to build the syllable model of a language and further theoretical generalizations. The paper studies the syllable structure of Tatar words on text data. The author abandoned ...
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Hongkai Ren, Xi Mao, Weijun Ma, Jizhou Wang and Linyun Wang
In recent years, with increasing international communication and cooperation, the consensus of toponymic information among different countries has become increasingly important. A large number of English geographical names are in urgent need of translati...
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Chen, S-H; Liao, Y-F
Pág. 1430 - 1441
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