tsuomela + language   265

Translating Happiness | The MIT Press
"Western psychology is rooted in the philosophies and epistemologies of Western culture. But what of concepts and insights from outside this frame of reference? Certain terms not easily translatable into English—for example, nirvāṇa (from Sanskrit), or agápē (from Classical Greek), or turangawaewae (from Māori)—are rich with meaning but largely unavailable to English-speaking students and seekers of wellbeing. In this book, Tim Lomas argues that engaging with “untranslatable” terms related to well-being can enrich not only our understanding but also our experience. We can use these words, Lomas suggests, to understand and express feelings and experiences that were previously inexpressible. Lomas examines 400 words from 80 languages, arranges them thematically, and develops a theoretical framework that highlights the varied dimensions of well-being and traces the connections between them. He identifies three basic dimensions of well-being—feelings, relationships, and personal development—and then explores each in turn through untranslatable words. Ânanda, for example, usually translated as bliss, can have spiritual associations in Buddhist and Hindu contexts; kefi in Greek expresses an intense emotional state—often made more intense by alcohol. The Japanese concept of koi no yokan means a premonition or presentiment of love, capturing the elusive and vertiginous feeling of being about to fall for someone, imbued with melancholy and uncertainty; the Yiddish term mensch has been borrowed from its Judaic and religious connotations to describe an all-around good human being; and Finnish offers sisu—inner determination in the face of adversity."
book  publisher  happiness  language 
february 2018 by tsuomela
Nature - Text Patterns - The New Atlantis
Useful comments on Latour and Morton re: their concept of nature.
nature  language  philosophy 
june 2017 by tsuomela
Modelica and the Modelica Association — Modelica Association
"Modelica® is a non-proprietary, object-oriented, equation based language to conveniently model complex physical systems containing, e.g., mechanical, electrical, electronic, hydraulic, thermal, control, electric power or process-oriented subcomponents."
modeling  programming  open-source  language 
november 2016 by tsuomela
Keith Olbermann and our vogue for EVISCERATIONS and EPIC RANTS.
Some parallels to Dan Kahan and cultural cognition dualism in public understanding of science.
rhetoric  politics  rants  language  persuasion  cognition  public-understanding  science  expertise 
october 2016 by tsuomela
The Julia Language
"Julia is a high-level, high-performance dynamic programming language for technical computing, with syntax that is familiar to users of other technical computing environments. It provides a sophisticated compiler, distributed parallel execution, numerical accuracy, and an extensive mathematical function library. Julia’s Base library, largely written in Julia itself, also integrates mature, best-of-breed open source C and Fortran libraries for linear algebra, random number generation, signal processing, and string processing. In addition, the Julia developer community is contributing a number of external packages through Julia’s built-in package manager at a rapid pace. IJulia, a collaboration between the Jupyter and Julia communities, provides a powerful browser-based graphical notebook interface to Julia."
programming  computer-science  computational-science  language 
september 2016 by tsuomela
Natural Language Toolkit — NLTK 3.0 documentation
"NLTK is a leading platform for building Python programs to work with human language data. It provides easy-to-use interfaces to over 50 corpora and lexical resources such as WordNet, along with a suite of text processing libraries for classification, tokenization, stemming, tagging, parsing, and semantic reasoning, wrappers for industrial-strength NLP libraries, and an active discussion forum. "
python  library  language  analysis  text-analysis 
june 2016 by tsuomela
‘Novel, amazing, innovative’: positive words on the rise in science papers : Nature News & Comment
"Scientists have become more upbeat in describing their research, an analysis of papers in the PubMed database suggests. Researchers at the University Medical Center Utrecht in the Netherlands say that the frequency of positive-sounding words such as ‘novel’, ‘amazing’, ‘innovative’ and ‘unprecedented’ has increased almost nine-fold in the titles and abstracts of papers published between 1974 and 2014. There has also been a smaller — yet still statistically significant — rise in the frequency of negative words, such as ‘disappointing’ and ‘pessimistic’."
science  language  competition  novelty 
february 2016 by tsuomela
rhetorical throughput | digital digs
"One of the projects I have been regularly pursuing (and I’m certainly not alone in this) is investigating the implications of rhetoric’s disciplinary-paradigmatic insistence on a symbolic, anthropocentric scope of study and entertaining the possibilities of rethinking those boundaries. "
rhetoric  objects  symbols  philosophy  language 
september 2015 by tsuomela
PLOS ONE: Linguistic Traces of a Scientific Fraud: The Case of Diederik Stapel
"When scientists report false data, does their writing style reflect their deception? In this study, we investigated the linguistic patterns of fraudulent (N = 24; 170,008 words) and genuine publications (N = 25; 189,705 words) first-authored by social psychologist Diederik Stapel. The analysis revealed that Stapel's fraudulent papers contained linguistic changes in science-related discourse dimensions, including more terms pertaining to methods, investigation, and certainty than his genuine papers. His writing style also matched patterns in other deceptive language, including fewer adjectives in fraudulent publications relative to genuine publications. Using differences in language dimensions we were able to classify Stapel's publications with above chance accuracy. Beyond these discourse dimensions, Stapel included fewer co-authors when reporting fake data than genuine data, although other evidentiary claims (e.g., number of references and experiments) did not differ across the two article types. This research supports recent findings that language cues vary systematically with deception, and that deception can be revealed in fraudulent scientific discourse."
science  fraud  text-analysis  linguistics  language  detection 
november 2014 by tsuomela
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