Published in Asia Pacific Translation and Intercultural Studies (Vol. 6, No. 1, 2019)
Multilingual Portal: Japan LIFE & BOSAI がいこくごの 生活と防災の情報 | NHK WORLD-JAPAN
ChatGPT Translate | Fast, Natural, 40+ Languages
ChatGPT translates across 40+ languages with accuracy, tone, and cultural nuance. Translate text, voice, or photos for everyday use, travel, school, and work — and learn grammar or phrasing as you go.
Large language models are cultural technologies. What might that mean?
Four different perspectives
Mitigating Cross-Lingual Cultural Inconsistencies in LLMs via...
Despite their impressive capabilities, multilingual large language models (MLLMs) frequently exhibit inconsistent behaviour when the prompt's language changes. While such adaptation is generally...
Understand the Culture & Context
An advice for foreigners visiting the Philippines or when interacting with Filipinos online
Babel — a connections game for Korean, Japanese and Chinese
DeepL Translator | World's Most Accurate Translator
Translate texts & full document files instantly. Accurate translations for individuals and Teams. Millions translate with DeepL every day.
Kagi Translate
Kagi Translate uses powerful AI models to instantly and accurately translate any content in any language.
EsDictionary - The EsDeeKid Translator
AI Translations Are Adding ‘Hallucinations’ to Wikipedia Articles
AI translated articles swapped sources or added unsourced sentences with no explanation, while others added paragraphs sourced from completely unrelated material.
The Transformative Potential of Asian Philosophies | Epoché Magazine
A free online philosophy magazine, delivered monthly
Targeted Multilingual Adaptation for Low-resource Language Families
The "massively-multilingual" training of multilingual models is known to limit their utility in any one language, and they perform particularly poorly on low-resource languages. However, there is evid
Bilingual Glossary - Food and Drug Administration, Department of Health
Is Cross-Lingual Transfer in Bilingual Models Human-Like? A Study with Overlapping Word Forms in Dutch and English
Bilingual speakers show cross-lingual activation during reading, especially for words with shared surface form. Cognates (friends) typically lead to facilitation, whereas interlingual homographs (false friends) cause interference or no effect. We examine whether cross-lingual activation in bilingual language models mirrors these patterns. We train Dutch-English causal Transformers under four vocabulary-sharing conditions that manipulate whether (false) friends receive shared or language-specific embeddings. Using psycholinguistic stimuli from bilingual reading studies, we evaluate the models through surprisal and embedding similarity analyses. The models largely maintain language separation, and cross-lingual effects arise primarily when embeddings are shared. In these cases, both friends and false friends show facilitation relative to controls. Regression analyses reveal that these effects are mainly driven by frequency rather than consistency in form-meaning mapping. Only when just friends share embeddings are the qualitative patterns of bilinguals reproduced. Overall, bilingual language models capture some cross-linguistic activation effects. However, their alignment with human processing seems to critically depend on how lexical overlap is encoded, possibly limiting their explanatory adequacy as models of bilingual reading.
Machine translation
Both AI and non-AI. To clarify my position, I don’t trust machine translation (based on Japanese-to-English and vice versa, but especially the former) and believe it should be reserved for personal use only and definitely not anything public-facing by a company/government/etc. that should have the budget to hire a translator.
What Google Translate Gets Wrong
ChatGPT Has ‘Goblin’ Mania in the US. In China It Will ‘Catch You Steadily’
Wikipedia:LLM-assisted translation
Wikipedia:Writing articles with large language models
Wikipedia Bans AI-Generated Content
OKA - Wiki pages tracker (oka.wiki/tracker)