Results 11 to 20 of about 4,924,917 (346)
Using word embeddings to investigate cultural biases
British Journal of Social Psychology, 2022 Abstract Word embeddings provide quantitative representations of word semantics and the associations between word meanings in text data, including in large repositories in media and social media archives. This article introduces social psychologists to word embedding research via a consideration of bias analysis, a topic of central ...
Durrheim, Kevin +3 more
openaire +3 more sources
Cross-cultural electronic word-of-mouth: a systematic literature review [PDF]
Spanish Journal of Marketing-ESIC, 2022 Purpose – Global adoption of the internet and mobile usage results in a huge variation in the cultural backgrounds of consumers who generate and consume electronic word-of-mouth (eWOM). Unsurprisingly, a research trend on cross-cultural eWOM has emerged.
Poompak Kusawat, Surat Teerakapibal
doaj +3 more sources
The role of satisfaction in cultural activities’ word-of-mouth. A case study in the Picasso Museum of Málaga (Spain) [PDF]
Tourism & Management Studies, 2016 Word-of-mouth has become a relevant area of tourism research over recent decades. However, the effect of tourists’ emotions on these recommendations is an underdeveloped area, particularly in cultural tourism, which, in terms of tourist numbers, is ...
María Jesús Carrasco-Santos +1 more
doaj +2 more sources
International Journal of Languages Literature and Linguistics, 2023 Implicit cultural words in Chinese, such as color terms and numerals embedded with distinct cultural connotations, encompass both conceptual and cultural meanings.
Rongyan Liu
semanticscholar +1 more source
TECHNIQUES OF TRANSLATION OF CULTURAL WORD IN TOUMAWARI SURU HINA NOVEL
Jurnal KATA, 2021 Vocabulary that contains cultural elements can hardly be translated literally, so it requires proper translation techniques. By using the category of cultural word by Newmark and the translation technique by Hoed, this study aims to determine the ...
Tia Ristiawati +3 more
semanticscholar +1 more source
An Analysis of Translation Procedure in Translating Cultural Word
, 2020 This study aims to identify the types of cultural words contained in 5 story texts found in the Cirebon area of West Java and to identify the types of cultural words based on Newmark theory and how students use translation procedures.
Apandi Apandi, Devi Siti Sihatul Afiah
semanticscholar +1 more source
Cultural Compass: Predicting Transfer Learning Success in Offensive Language Detection with Cultural Features [PDF]
Conference on Empirical Methods in Natural Language Processing, 2023 The increasing ubiquity of language technology necessitates a shift towards considering cultural diversity in the machine learning realm, particularly for subjective tasks that rely heavily on cultural nuances, such as Offensive Language Detection (OLD).
Li Zhou +3 more
semanticscholar +1 more source
Frontiers in Psychiatry, 2023 Introduction In recent years, research has used psycholinguistic features in public discourse, networking behaviors on social media and profile information to train models for depression detection.
Sihua Lyu +3 more
semanticscholar +1 more source
Diachronic Word Embeddings Reveal Statistical Laws of Semantic Change [PDF]
Annual Meeting of the Association for Computational Linguistics, 2016 Understanding how words change their meanings over time is key to models of language and cultural evolution, but historical data on meaning is scarce, making theories hard to develop and test.
William L. Hamilton +2 more
semanticscholar +1 more source
Relating Word Embedding Gender Biases to Gender Gaps: A Cross-Cultural Analysis [PDF]
Proceedings of the First Workshop on Gender Bias in Natural Language ProcessingModern models for common NLP tasks often employ machine learning techniques and train on journalistic, social media, or other culturally-derived text. These have recently been scrutinized for racial and gender biases, rooting from inherent bias in their ...
Scott E. Friedman +3 more
semanticscholar +1 more source