home

roomthily

quote
Despite the wishes and fiats of self-appointed regulators, linguistic variation is perfectly fine. Language is big and stretchy; it contains multitudes and embraces variety, even if some of its users don’t. What little confusion might arise over the pronunciation of GIF will not hurt anyone or bring civilisation to its knees. More to the point, a preference for “gif” or “jif” does not imply someone’s wrongness, stupidity, or moral deficiency. Is this the last word on GIF? Hardly. As long as a language is alive, there is no last word. Maybe GIF in the future will rhyme with ref. In the meantime, you don’t have to adopt the inventor’s preference. He did us a great technical service, but he’s not the boss of English. You’re the boss of your own English. GIF is in the public domain: say it any way you want.

3 weeks ago

May 24, 2013
link Prochronisms

examining tv anachronisms

3 months ago

March 3, 2013
photo Discriminatory Terrain (Gerald Rich) - density of geographic placenames which contain a racial pejorative
via Gerald Rich

Discriminatory Terrain (Gerald Rich) - density of geographic placenames which contain a racial pejorative

via Gerald Rich

3 months ago

February 27, 2013
photo algopop:

To track how languages evolve, words mutate, sounds shift, and new tongues arise from old, an algorithm has been developed to reconstruct lost languages using the sounds uttered by those who speak their modern successors.
Alexandre Bouchard-Côté at the University of British Columbia in Vancouver, Canada, and colleagues have developed a machine-learning algorithm that uses rules about how the sounds of words can vary to infer the most likely phonetic changes behind a language’s divergence. The system was also able to suggest how ancestor languages might have sounded and also identify which sounds were most likely to change. src

algopop:

To track how languages evolve, words mutate, sounds shift, and new tongues arise from old, an algorithm has been developed to reconstruct lost languages using the sounds uttered by those who speak their modern successors.

Alexandre Bouchard-Côté at the University of British Columbia in Vancouver, Canada, and colleagues have developed a machine-learning algorithm that uses rules about how the sounds of words can vary to infer the most likely phonetic changes behind a language’s divergence. The system was also able to suggest how ancestor languages might have sounded and also identify which sounds were most likely to change. src

4 months ago

February 15, 2013
reblogged via notational
photo Mapping translations of Othello (Tom Cheesman, Swansea University)
(via FlowingData)

Mapping translations of Othello (Tom Cheesman, Swansea University)

(via FlowingData)

4 months ago

February 9, 2013
photo neighbornet of folktale similarity (R. Ross, S. Greenhill, Q. Atkinson) - 
the closer the populations, the more similar their folktales tend to be; “box-like structures show the reticulate nature of folktale similarity, indicating extensive horizontal transmission (as opposed to vertical transmission down cultural lineages).”
via Sentence first

neighbornet of folktale similarity (R. Ross, S. Greenhill, Q. Atkinson) - 

the closer the populations, the more similar their folktales tend to be; “box-like structures show the reticulate nature of folktale similarity, indicating extensive horizontal transmission (as opposed to vertical transmission down cultural lineages).”

via Sentence first

4 months ago

February 6, 2013
photo Syntactic - open source unsupervised lexical categorization and visualization program

Syntactic - open source unsupervised lexical categorization and visualization program

10 months ago

August 16, 2012