Zobrazeno 1 - 10
of 62
pro vyhledávání: '"Nguonly, A."'
Search is one of the key functionalities in digital platforms and applications such as an electronic dictionary, a search engine, and an e-commerce platform. While the search function in some languages is trivial, Khmer word search is challenging giv
Externí odkaz:
http://arxiv.org/abs/2112.08918
Text classification is one of the fundamental tasks in natural language processing to label an open-ended text and is useful for various applications such as sentiment analysis. In this paper, we discuss various classification approaches for Khmer te
Externí odkaz:
http://arxiv.org/abs/2112.06748
This paper presents an end-to-end deep convolutional recurrent neural network solution for Khmer optical character recognition (OCR) task. The proposed solution uses a sequence-to-sequence (Seq2Seq) architecture with attention mechanism. The encoder
Externí odkaz:
http://arxiv.org/abs/2106.10875
Khmer text is written from left to right with optional space. Space is not served as a word boundary but instead, it is used for readability or other functional purposes. Word segmentation is a prior step for downstream tasks such as part-of-speech (
Externí odkaz:
http://arxiv.org/abs/2103.16801
Autor:
Pinsino, Alberto, Carey, Matthew R., Husain, Syed, Mohan, Sumit, Radhakrishnan, Jai, Jennings, Douglas L., Nguonly, Austin S., Ladanyi, Annamaria, Braghieri, Lorenzo, Takeda, Koji, Faillace, Robert T., Sayer, Gabriel T., Uriel, Nir, Colombo, Paolo C., Yuzefpolskaya, Melana
Publikováno v:
In American Journal of Kidney Diseases
Publikováno v:
Ho Chi Minh City Open University Journal of Science - Engineering and Technology, Vol 12, Iss 1, Pp 3-16 (2022)
This paper presents an end-to-end deep convolutional recurrent neural network solution for Khmer optical character recognition (OCR) task. The proposed solution uses a sequence-to-sequence (Seq2Seq) architecture with attention mechanism. The encoder
Externí odkaz:
https://doaj.org/article/13eeec17d8f74c57916a341a8643707b
Autor:
James L Januzzi, Hanna K Gaggin, Megan Welch, Daniel A Zlotoff, Kevin Wei, Andrew Abboud, Austin Nguonly, Asher Bean, Kemar J Brown, Roy F Chen, David Dudzinski, Neyat Fiseha, Melvin Joice, Davis Kimaiyo, Mackenzie Martin, Christy Taylor
Publikováno v:
Open Heart, Vol 8, Iss 2 (2021)
Externí odkaz:
https://doaj.org/article/0262efc8d2044357ae8907fe4b810b1d
Autor:
Alberto Pinsino, Matthew R. Carey, Syed Husain, Sumit Mohan, Jai Radhakrishnan, Douglas L. Jennings, Austin S. Nguonly, Annamaria Ladanyi, Lorenzo Braghieri, Koji Takeda, Robert T. Faillace, Gabriel T. Sayer, Nir Uriel, Paolo C. Colombo, Melana Yuzefpolskaya
Publikováno v:
American Journal of Kidney Diseases.
Context-dependent applications are relatively complex due to their multiple variations caused by context activation, especially in the presence of unanticipated adaptation. Testing these systems is challenging, as it is hard to reproduce the same exe
Externí odkaz:
https://tud.qucosa.de/id/qucosa%3A75214
https://tud.qucosa.de/api/qucosa%3A75214/attachment/ATT-0/
https://tud.qucosa.de/api/qucosa%3A75214/attachment/ATT-0/
Autor:
Pinsino, Alberto, Carey, Matthew R., Husain, Syed, Mohan, Sumit, Radhakrishnan, Jai, Jennings, Douglas L., Nguonly, Austin S., Ladanyi, Annamaria, Braghieri, Lorenzo, Takeda, Koji, Faillace, Robert T., Sayer, Gabriel T., Uriel, Nir, Colombo, Paolo C., Yuzefpolskaya, Melana
Publikováno v:
American Journal of Kidney Diseases; November 2023, Vol. 82 Issue: 5 p521-533, 13p