The data repository for the D-PLACE Project (Database of Places, Language, Culture and Environment)
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Updated
Feb 7, 2022 - Turing
The data repository for the D-PLACE Project (Database of Places, Language, Culture and Environment)
This repository contains code that extracts YouTube videos based on a mapping.csv file and performs object detection using YOLOv11. The primary objective of this work is to evaluate pedestrian behaviour in a cross-country or cross-cultural context using freely available YouTube videos.
D-PLACE data serialized as CLDF StructureDataset
Code that accompanies the paper Exploring (Dis-)Similarities in Emoji-Emotion Association on Twitter and Weibo at EMOJI2019.
[学来学去学习社] 小菲学姐文科辅导 - UCL文科学霸陪你学诗词作文英语
Source code and documentation for the OSRESS website
Cross-cultural Inspiration Detection and Analysis in Real and LLM-generated Social Media Data
A virtual tourism and cross-culture experience website.
Analyzing geographic and cultural bias in AI therapy advice. Interactive visualization showing how AI systems draw from predominantly Anglophone sources when advising users about culturally specific dilemmas in India, Nigeria, and the Philippines.
Cross-cultural validation in the International Sex Survey (ASRS)
A Claude skill that helps founders pick or vet a business name that stays authentic to their cultural origin while landing well in their target markets.
R scripts and minimal docs for IRT modeling of developmental milestone items (Germany–Namibia).
A zero-tech cross-civilisational transcoding protocol: Chinese characters → Cistercian monastic glyphs.
click here to experience
A concise slide deck about bridging hot‑culture and cold‑culture communication styles so teams can connect faster and work better together.
GraphRAGent-WM: Dynamic evolution and prediction of reader knowledge states in cross-cultural literary reading
Replication syntax for Ardag Öney Cohr 2021
IEA (Information Element Retrospection) — an original cognitive-archaeology framework that decomposes cultural narratives into minimal perceivable atoms, with 8 reusable AI skills.
Why cross-cultural interviews lose great talent — and how to fix it. React, Vite, Tailwind. Lorenzo Colombani.
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