Zobrazeno 1 - 10
of 221
pro vyhledávání: '"xlm"'
Autor:
Arailym Tleubayeva, Aday Shomanov
Publikováno v:
Scientific Journal of Astana IT University, Pp 89-97 (2024)
This paper presents a comparative analysis of large pretrained multilingual models for question-answering (QA) systems, with a specific focus on their adaptation to the Kazakh language. The study evaluates models including mBERT, XLM-R, mT5, AYA, and
Externí odkaz:
https://doaj.org/article/3543bae418d44932a958e712361e99ab
Autor:
Komal Rani Narejo, Hongying Zan, Dina Oralbekova, Kheem Parkash Dharmani, Mamyrbayev Orken, Kuralai Mukhsina
Publikováno v:
IEEE Access, Vol 12, Pp 126587-126600 (2024)
X (formerly known as Twitter) is a popular social network with hundreds of millions of users. We emphasize the benefits of using emojis to enhance the comprehension of user sentiment. Our objective was to analyze the sentiments expressed in Urdu lang
Externí odkaz:
https://doaj.org/article/992002d2a7d0462c9aaa9b3bac07fe94
Autor:
Muhammad Rehan Ashraf, Muzammal Hussain, M. Arfan Jaffar, Waheed Yousuf Ramay, Muhammad Faheem
Publikováno v:
IEEE Access, Vol 12, Pp 99779-99793 (2024)
Sentiment analysis extracts valuable insights from textual sources using computation, textual or systematic analysis, and natural language processing. It identifies and measures the attitudes, beliefs, and emotional states individuals express through
Externí odkaz:
https://doaj.org/article/4c814316b2f24fe0b4f7573b8b3d41a5
Publikováno v:
Applied Sciences, Vol 14, Iss 13, p 5440 (2024)
Cross-lingual transfer learning using multilingual models has shown promise for improving performance on natural language processing tasks with limited training data. However, translation can introduce superficial patterns that negatively impact mode
Externí odkaz:
https://doaj.org/article/0d59bc40308c4bc8bb28b353457dedf0
Autor:
He Yanan
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024)
The development and application of machine translation cannot be separated from the evaluation of its quality. Correct evaluation is a correct lead to its development direction, and the translation direction respected by mainstream evaluation can be
Externí odkaz:
https://doaj.org/article/1b0f1097329d400c8ce4620ce1058771
Publikováno v:
Zhihui kongzhi yu fangzhen, Vol 42, Iss 2, Pp 101-106 (2023)
Text intelligence classification is the basic work in the field of intelligence analysis. At present, text intelligence classification work is usually oriented to a single language, and there are relatively few studies on cross-language text intellig
Externí odkaz:
https://doaj.org/article/853c52e0347b4be881f7500edd270577
Publikováno v:
Jurnal Nasional Teknik Elektro dan Teknologi Informasi, Vol 12, Iss 1, Pp 29-36 (2023)
Emosi dasar dibagi menjadi enam, yaitu marah, sedih, senang, jijik, kaget, dan takut. Gabungan lebih dari satu emosi dasar dapat menciptakan sebuah emosi baru, yaitu emosi majemuk. Emosi majemuk dapat diimplementasikan untuk chat-bot, penerjemahan ba
Externí odkaz:
https://doaj.org/article/0d5ffbd2ee56464287b82269719d26ee
Publikováno v:
IEEE Access, Vol 11, Pp 106503-106515 (2023)
Threatening content detection on social media has recently gained attention. There is very limited work regarding threatening content detection in low-resource languages, especially in Urdu. Furthermore, previous work explored only mono-lingual appro
Externí odkaz:
https://doaj.org/article/ef88c9f629964170a094d7ff9071b180
Publikováno v:
Journal of King Saud University: Computer and Information Sciences, Vol 35, Iss 8, Pp 101736- (2023)
Hope Speech Detection (HSD) from social media is a new direction for promoting and supporting positive content to encourage harmony and positivity in society. As users of social media belong to different linguistic communities, hope speech detection
Externí odkaz:
https://doaj.org/article/487cb3a4f9764839903e257f33e93980
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