Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Sangjie Duanzhu"'
Publikováno v:
Fractal and Fractional, Vol 7, Iss 10, p 744 (2023)
Due to the significant value that hotel reviews hold for both consumers and businesses, the development of an accurate sentiment classification method is crucial. By effectively distinguishing the authenticity of reviews, consumers can make informed
Externí odkaz:
https://doaj.org/article/9f562e33f26f4ac4b4085336d5e577d6
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030811969
CLSW
CLSW
Tibetan Word Segmentation is a basic and essential task in Tibetan Natural Language Processing workflow. Performance of TWS can directly affect many other downstream Tibetan NLP tasks since errors propagate in a multi-stage NLP pipeline. Traditionall
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0442793722f9420c674e468f3b9cb3f4
https://doi.org/10.1007/978-3-030-81197-6_44
https://doi.org/10.1007/978-3-030-81197-6_44
Publikováno v:
2020 3rd International Conference on Algorithms, Computing and Artificial Intelligence.
Despite the remarkable success of Neural Machine Translation system, such challenges as its drawback in low-resourced conditions persist. In recent years, working mechanism of exploiting either one or both source and target side monolingual data with
Autor:
Lu, Yingfa, Cheng, Changbo, Zhuoma, Cuo, Cairang, Jia, Sangjie, Duanzhu, Yangmao, Zhuoma, Zhuoma, Zhaxi
Publikováno v:
Proceedings of SPIE; December 2022, Vol. 12506 Issue: 1 p125066W-125066W-8, 1125603p
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030381882
CLSW
CLSW
Grammar Error Correction (GEC) is an important researching subject among Nature Language Processing tasks. In this work, aiming at tackling with genitive and ergative grammatical errors in Tibetan formal text, we collect 1793563 consecutive sentence
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7d3910238ad1861afa9a49371415b6fe
https://doi.org/10.1007/978-3-030-38189-9_43
https://doi.org/10.1007/978-3-030-38189-9_43
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030323806
CCL
CCL
In the field of machine translation, parallel corpus serves as the most important prerequisite for learning complex mappings between targeted language pairs. However, in practice, the scale of parallel corpus is not necessarily the only factor to be
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::00bc7883d02635fa3e5fd303ae6246db
https://doi.org/10.1007/978-3-030-32381-3_34
https://doi.org/10.1007/978-3-030-32381-3_34
Publikováno v:
Proceedings of SPIE; 4/19/2023, Vol. 12506, p125066W-125066W-8, 1p