Zobrazeno 1 - 10
of 2 921
pro vyhledávání: '"Cross lingual"'
Publikováno v:
网络与信息安全学报, Vol 10, Pp 107-116 (2024)
Many security risk control issues, such as public opinion analysis in international scenarios, have been identified as text classification problems, which are challenging due to the involvement of multiple languages. Previous studies have demonstrate
Externí odkaz:
https://doaj.org/article/69f6ef737a794932941844311d8c2720
Publikováno v:
网络与信息安全学报, Vol 10, Iss 3, Pp 107-116 (2024)
Many security risk control issues, such as public opinion analysis in international scenarios, have been identified as text classification problems, which are challenging due to the involvement of multiple languages. Previous studies have demonstrate
Externí odkaz:
https://doaj.org/article/95c87d70a0f24767a1156b3f9c122387
Autor:
Eleni Meletiadou
Publikováno v:
IAFOR Journal of Education, Vol 12, Iss 1, Pp 45-65 (2024)
Playmobil pro is an innovative modelling kit for adults that encourages creative thinking in the university/workplace. International multilingual students often disclose that they have little opportunity to develop their intercultural awareness, and
Externí odkaz:
https://doaj.org/article/59b8f97fe1844393830c93df9322ee35
Autor:
Md Saef Ullah Miah, Md Mohsin Kabir, Talha Bin Sarwar, Mejdl Safran, Sultan Alfarhood, M. F. Mridha
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-18 (2024)
Abstract Sentiment analysis is an essential task in natural language processing that involves identifying a text’s polarity, whether it expresses positive, negative, or neutral sentiments. With the growth of social media and the Internet, sentiment
Externí odkaz:
https://doaj.org/article/5f1bae8808354ba5bf7ccef3f10b103d
Publikováno v:
IEEE Access, Vol 12, Pp 98835-98855 (2024)
Self-supervised learning (SSL), an unsupervised representation learning technique, has received widespread attention across various modalities. Speech, with its inherent complexity encompassing acoustic (e.g., speaker, phoneme, and paralinguistic cue
Externí odkaz:
https://doaj.org/article/e4b647188a4c4606a0dc899c95f100cf
Publikováno v:
Mathematical Biosciences and Engineering, Vol 21, Iss 1, Pp 1125-1143 (2024)
Cross-lingual summarization (CLS) is the task of condensing lengthy source language text into a concise summary in a target language. This presents a dual challenge, demanding both cross-language semantic understanding (i.e., semantic alignment) and
Externí odkaz:
https://doaj.org/article/f583b35157944fc4a16b198abb24dcc8
Publikováno v:
IEEE Access, Vol 12, Pp 2760-2777 (2024)
The Narrative question answering (QA) problem involves generating accurate, relevant, and human-like answers to questions based on the comprehension of a story consisting of logically connected paragraphs. Developing Narrative QA models allows studen
Externí odkaz:
https://doaj.org/article/e535757f50fe43f784ea904beaec0dcf
Publikováno v:
Computers, Vol 13, Iss 9, p 236 (2024)
Analyzing the semantic similarity of cross-lingual texts is a crucial part of natural language processing (NLP). The computation of semantic similarity is essential for a variety of tasks such as evaluating machine translation systems, quality checki
Externí odkaz:
https://doaj.org/article/cfdf3b246b9c4903bfc34e2f659f1b73
Publikováno v:
Mathematics, Vol 12, Iss 13, p 2107 (2024)
Cross-lingual summarization (CLS) is essential for enhancing global communication by facilitating efficient information exchange across different languages. However, owing to the scarcity of CLS data, recent studies have employed multi-task framework
Externí odkaz:
https://doaj.org/article/c0461b8eb3234063814178119fc3d73a
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