Teaching with cognates can help multilingual learners draw on prior knowledge to understand new vocabulary.
Stephen Krashen: Language Acquisition and Comprehensible Input
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
Mango Languages | Vancouver Public Library
Over 70 self-paced language learning courses and dialects. Learners are introduced to vocabulary, cultural insights, grammar and more. The courses are delivered by native speakers. They include critical-thinking and memory-building exercises. Sign up for a Mango profile so you can track your progress & continue where you left off.Or use “Mango as a guest” to access the resource. New to Mango? View a video tutorial.
What is some curious and unexpected custom method you use to learn a language better?
23 votes, 36 comments. I'd like to know if you guys have a particular method (maybe that you invented) that helped you to learn a language, maybe…
What is some curious and unexpected custom method you use to learn a language better?
23 votes, 36 comments. I'd like to know if you guys have a particular method (maybe that you invented) that helped you to learn a language, maybe…
I Learned to Speak Four Languages in a Few Years: Here's How
Lifehacker reader Gabriel Wyner was tasked with learning four languages in the past few years for his career as an opera singer, and in the process la
Unlocking Scientific Concepts: How Effective Are LLM-Generated Analogies for Student Understanding and Classroom Practice?
Teaching scientific concepts is essential but challenging, and analogies help students connect new concepts to familiar ideas. Advancements in large language models (LLMs) enable generating analogies, yet their effectiveness in education remains underexplored. In this paper, we first conducted a two-stage study involving high school students and teachers to assess the effectiveness of LLM-generated analogies in biology and physics through a controlled in-class test and a classroom field study. Test results suggested that LLM-generated analogies could enhance student understanding particularly in biology, but require teachers’ guidance to prevent over-reliance and overconfidence. Classroom experiments suggested that teachers could refine LLM-generated analogies to their satisfaction and inspire new analogies from generated ones, encouraged by positive classroom feedback and homework performance boosts. Based on findings, we developed and evaluated a practical system to help teachers generate and refine teaching analogies. We discussed future directions for developing and evaluating LLM-supported teaching and learning by analogy.
Online Mandarin Chinese Learning | Mandarin Blueprint
The best way to learn Chinese language online. This is how to learn Chinese in less than twelve months, from zero.
How To (Really) Learn A Foreign Language While You Sleep
The old saying that we can solve problems more effectively when we “sleep on it” may be especially true if the problem we’re trying to solve is learning a new language. Researchers from two Swiss universities wanted to know if they could enhance the learning of words from a foreign language [...]
How I Learned a Language in 90 Days
Becoming bilingual opens up a whole new world of different people, different cultures, and different emotions. It also takes a huge time commitment—on
Familect
Familects often gain vocabulary through the words young children create as they learn to talk, when these words are adopted by the family.[1][2] Familects also gain vocabulary through slips of the tongue and word invention.[3]
Cross-Lingual Exploration for Parametric Knowledge
Parametric knowledge in Large Language Models is not equally accessible across languages. As a result, standard inference techniques often struggle to surface localized facts, leading to failures in...
How linguistics learned to stop worrying and love the language models
Language models (LMs) can produce fluent, grammatical text. Nonetheless, some maintain that language models don’t really learn language and also, even if they did, that would not be informative for the study of human learning and processing. On the other side, there have been claims that the success of LMs obviates the need for studying linguistic theory and structure. We argue that both extremes are wrong. LMs can contribute to fundamental questions about linguistic structure, language processing, and learning. They force us to rethink arguments and ways of thinking that have been foundational in linguistics. While they do not replace linguistic structure and theory, they serve as model systems and working proofs of concept for gradient, usage-based approaches to language. We offer an optimistic take on the relationship between language models and linguistics.
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How I Learned Spanish in 3 Months | Loïs Talagrand
Complete breakdown of my 90-day Spanish challenge: constraints, tools, timeline, and final 30-minute conversation result.
Improving Cross-Lingual Factual Recall via Consistency-Driven Reinforcement Learning
Large language models (LLMs) trained predominantly on English data encode substantial world knowledge, yet often fail to express it reliably in other languages, a phenomenon known as cross-lingual...