paper-with-me

홈 › Papers

Tuiteamos o pongamos un tuit? Investigating the Social Constraints of Loanword Integration in Spanish Social Media

2021-01-16 · SCiL 2021 2 · Ian Stewart, Diyi Yang, Jacob Eisenstein

Speakers of non-English languages often adopt loanwords from English to express new or unusual concepts. While these loanwords may be borrowed unchanged, speakers may also integrate the words to fit the constraints of their native language, e.g. creating Spanish "tuitear" from English "tweet." Linguists have often considered the process of loanword integration to be more dependent on language-internal constraints, but sociolinguistic constraints such as speaker background remain only qualitatively understood. We investigate the role of social context and speaker background in Spanish speakers' use of integrated loanwords on social media. We find first that newspaper authors use the integrated forms of loanwords and native words more often than social media authors, showing that integration is associated with formal domains. In social media, we find that speaker background and expectations of formality explain loanword and native word integration, such that authors who use more Spanish and who write to a wider audience tend to use integrated verb forms more often. This study shows that loanword integration reflects not only language-internal constraints but also social expectations that vary by conversation and speaker.

📄 PDF Abstract BibTeX arXiv:2101.06368

Code (0)

등록된 구현이 없습니다.

Similar Papers 제목 키워드 기반

MIDDAG: Where Does Our News Go? Investigating Information Diffusion via Community-Level Information Pathways

2023-10-04 · Mingyu Derek Ma, Alexander K. Taylor, Nuan Wen, Yanchen Liu 외

We present MIDDAG, an intuitive, interactive system that visualizes the information propagation paths on social media triggered by COVID-19-related news articles accompanied by comprehensive insights, including user/comm…

Articles

BWSNet: Automatic Perceptual Assessment of Audio Signals

2023-09-05 · Clément Le Moine Veillon, Victor Rosi, Pablo Arias Sarah, Léane Salais 외

This paper introduces BWSNet, a model that can be trained from raw human judgements obtained through a Best-Worst scaling (BWS) experiment. It maps sound samples into an embedded space that represents the perception of a…

AttributeMetric Learning

Path sampling of recurrent neural networks by incorporating known physics

2022-03-01 · Sun-Ting Tsai, Eric Fields, Yijia Xu, En-Jui Kuo 외

Recurrent neural networks have seen widespread use in modeling dynamical systems in varied domains such as weather prediction, text prediction and several others. Often one wishes to supplement the experimentally observe…

Time SeriesTime Series Analysis

Learn to Quantify Social Interaction with Constraints for Pedestrian Walking

2026-06-16 · Xiaodan Shi arxiv

Long-term human path forecasting in crowds is critical for autonomous moving platforms (like autonomous driving cars and social robots) to avoid collision and make high-quality planning. Although the current research tak…

Trajectory PredictionAutonomous Driving

On the Paradoxical Interference between Instruction-Following and Task Solving

2026-01-29 · Yunjia Qi, Hao Peng, Xintong Shi, Amy Xin 외 arxiv

Instruction following aims to align Large Language Models (LLMs) with human intent by specifying explicit constraints on how tasks should be performed. However, we reveal a counterintuitive phenomenon: instruction follow…

Instruction FollowingCode Generation