What does vocabulary reveal about a culture




















MultiPic: a standardized set of drawings with norms for six European languages. Brysbaert, M. Concreteness ratings for 40 thousand generally known English word lemmas. Jones, D. Human kinship, from conceptual structure to grammar. Kemp, C. Kinship categories across languages reflect general communicative principles. Folia Linguist. Rzymski, C. The database of cross-linguistic colexifications, reproducible analysis of cross-linguistic polysemies. Data 7 , 13 Dehaene, S.

Cross-linguistic regularities in the frequency of number words. Cognition 43 , 1—29 Vecchi, E. Linear maps of the impossible: capturing semantic anomalies in distributional space. Speer, R. Pagel, M. Frequency of word-use predicts rates of lexical evolution throughout Indo-European history. Nature , — Kirby, K. D-place: a global database of cultural, linguistic and environmental diversity. Murdock, G.

Factors in the division of labor by sex: a cross-cultural analysis. Ethnology 12 , — Sellen, D. Relationships between subsistence and age at weaning in "preindustrial" societies. Human Nat.

CAS Google Scholar. Apostolou, M. Bridewealth as an instrument of male parental control over mating: evidence from the standard cross-cultural sample. Meggers, B. Environmental limitation on the development of culture. Peoples, H. Subsistence and the evolution of religion. Botero, C. The ecology of religious beliefs.

Gavin, M. The global geography of human subsistence. Open Sci. Martin, M. Female of the Species Columbia Univ. Goodenough, W. Basic economy and community. Notes 4 , — Lakoff, G. The Mastermetaphor List 2nd ed. Wiseman, R. Interpreting ancient social organization: conceptual metaphors and image schemas.

Time Mind 8 , — Bouckaert, R. Mapping the origins and expansion of the Indo-European language family. Srinivasan, M. How concepts and conventions structure the lexicon: cross-linguistic evidence from polysemy. Lingua , — Gordon, P. Numerical cognition without words: evidence from Amazonia.

Tillman, K. Gelman, R. Number and language: how are they related? Chen, D. Evaluating vector-space models of analogy. Huebner, P. Structured semantic knowledge can emerge automatically from predicting word sequences in child-directed speech. Ramiro, C. Algorithms in the historical emergence of word senses. Unsupervised alignment of embeddings with wasserstein procrustes. Peters, M. Deep contextualized word representations.

Wierzbicka, A. Semantics: Primes and Universals Oxford Univ. Goddard, C. Aitchison, J. Matthewson, L. Is the meta-language really natural?

List, J. Conneau, A. Word translation without parallel data. Huson, D. Application of phylogenetic networks in evolutionary studies. Download references. We thank J. Dellert and A. The funders had no role in the conceptualization, design, data collection, analysis, decision to publish or preparation of the manuscript. You can also search for this author in PubMed Google Scholar.

Air Force. To commemorate Veterans Day, wreaths will be placed in Memorial Court and Memorial Auditorium, along with a letter from President Marc Tessier-Lavigne, to honor members of the university community who have served or are serving in the U.

Armed Forces. Stanford News is a publication of Stanford University Communications. Stanford , California Skip to content. Menu Search form Search term. Image credit: Getty Images. August 22, The power of language: How words shape people, culture. Facebook Twitter Email. By Alex Shashkevich Speaking, writing and reading are integral to everyday life, where language is the primary tool for expression and communication.

Understanding stereotypes. Social Sciences. How other languages inform our own. Clearly, the influence of that culture has left its mark. Knowing the history of a culture is not only a way to get clarification, it also shows how words have evolved to reflect the current cultural climate. Before the internet, it was next to impossible to pinpoint the redefining moments for these words.

The broadening or dissolution of their original meanings tended to just happen slowly over time with usage. Thanks to the internet, we can study this much more closely. Words can evolve in various ways. In English, this was a term originally referring to an unintelligent man, but over time it came to be quite a derogatory term for an attractive, but not very bright, woman. Our ever-developing culture forces language to develop alongside it. Not doing so can cause some embarrassing or offensive situations.

Take a language like Japanese that feature words that are closely tied to the culture. This is referred to as keigo. So what have we learned today? Hopefully you can look back at your learning experience with more awareness about what to change about your learning methods or your mindset.

How deep is your understanding of the foreign words you learned? Have you just memorized their definitions or translations, or do you understand what they mean and what they imply when spoken?

When you take that understanding and apply it as you learn the language, single words suddenly carry new weight and words you once found just quirky and strange start to make a lot more sense. If you dig the idea of learning on your own time from the comfort of your smart device with real-life authentic language content, you'll love using FluentU. With FluentU, you'll learn real languages—as they're spoken by native speakers. FluentU has a wide variety of videos as you can see here:.

FluentU App Browse Screen. FluentU has interactive captions that let you tap on any word to see an image, definition, audio and useful examples.



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