Matches in SemOpenAlex for { <https://semopenalex.org/work/W2168616500> ?p ?o ?g. }
- W2168616500 endingPage "967" @default.
- W2168616500 startingPage "960" @default.
- W2168616500 abstract "As with biological systems, spoken languages are strikingly robust against perturbations. This paper shows that languages achieve robustness in a way that is highly similar to many biological systems. For example, speech sounds are encoded via multiple acoustically diverse, temporally distributed and functionally redundant cues, characteristics that bear similarities to what biologists call degeneracy. Speech is furthermore adequately characterized by neutrality, with many different tongue configurations leading to similar acoustic outputs, and different acoustic variants understood as the same by recipients. This highlights the presence of a large neutral network of acoustic neighbors for every speech sound. Such neutrality ensures that a steady backdrop of variation can be maintained without impeding communication, assuring that there is fodder for subsequent evolution. Thus, studying linguistic robustness is not only important for understanding how linguistic systems maintain their functioning upon the background of noise, but also for understanding the preconditions for language evolution." @default.
- W2168616500 created "2016-06-24" @default.
- W2168616500 creator A5033502733 @default.
- W2168616500 date "2014-08-04" @default.
- W2168616500 modified "2023-10-09" @default.
- W2168616500 title "Spoken language achieves robustness and evolvability by exploiting degeneracy and neutrality" @default.
- W2168616500 cites W1586410793 @default.
- W2168616500 cites W1662043995 @default.
- W2168616500 cites W1760223623 @default.
- W2168616500 cites W1964223780 @default.
- W2168616500 cites W1964501656 @default.
- W2168616500 cites W1968624473 @default.
- W2168616500 cites W1969481327 @default.
- W2168616500 cites W1969724173 @default.
- W2168616500 cites W1970533835 @default.
- W2168616500 cites W1973499422 @default.
- W2168616500 cites W1977531436 @default.
- W2168616500 cites W1984733603 @default.
- W2168616500 cites W1995875735 @default.
- W2168616500 cites W1998523266 @default.
- W2168616500 cites W1999089020 @default.
- W2168616500 cites W2000196122 @default.
- W2168616500 cites W2006413392 @default.
- W2168616500 cites W2008080635 @default.
- W2168616500 cites W2009855073 @default.
- W2168616500 cites W2009950940 @default.
- W2168616500 cites W2010851803 @default.
- W2168616500 cites W2011238950 @default.
- W2168616500 cites W2011413825 @default.
- W2168616500 cites W2011895066 @default.
- W2168616500 cites W2016350172 @default.
- W2168616500 cites W2018188975 @default.
- W2168616500 cites W2022465033 @default.
- W2168616500 cites W2023562516 @default.
- W2168616500 cites W2024120506 @default.
- W2168616500 cites W2024711230 @default.
- W2168616500 cites W2026463861 @default.
- W2168616500 cites W2040573934 @default.
- W2168616500 cites W2044874270 @default.
- W2168616500 cites W2046580380 @default.
- W2168616500 cites W2050427299 @default.
- W2168616500 cites W2052783012 @default.
- W2168616500 cites W2055308071 @default.
- W2168616500 cites W2058542017 @default.
- W2168616500 cites W2066483547 @default.
- W2168616500 cites W2066601344 @default.
- W2168616500 cites W2066961120 @default.
- W2168616500 cites W2068602646 @default.
- W2168616500 cites W2069614478 @default.
- W2168616500 cites W2082383308 @default.
- W2168616500 cites W2083557891 @default.
- W2168616500 cites W2091174247 @default.
- W2168616500 cites W2101534803 @default.
- W2168616500 cites W2108667721 @default.
- W2168616500 cites W2111376597 @default.
- W2168616500 cites W2111940130 @default.
- W2168616500 cites W2115083042 @default.
- W2168616500 cites W2115867364 @default.
- W2168616500 cites W2120223668 @default.
- W2168616500 cites W2121186983 @default.
- W2168616500 cites W2121477676 @default.
- W2168616500 cites W2124973255 @default.
- W2168616500 cites W2125482195 @default.
- W2168616500 cites W2125771053 @default.
- W2168616500 cites W2128362727 @default.
- W2168616500 cites W2129087637 @default.
- W2168616500 cites W2136797351 @default.
- W2168616500 cites W2144093301 @default.
- W2168616500 cites W2147777139 @default.
- W2168616500 cites W2163201100 @default.
- W2168616500 cites W2166053960 @default.
- W2168616500 cites W2166391802 @default.
- W2168616500 cites W2319608925 @default.
- W2168616500 cites W2991416376 @default.
- W2168616500 cites W3196825858 @default.
- W2168616500 cites W4210935277 @default.
- W2168616500 cites W4211050099 @default.
- W2168616500 cites W4211101202 @default.
- W2168616500 cites W4239074450 @default.
- W2168616500 cites W4251671532 @default.
- W2168616500 cites W55825075 @default.
- W2168616500 cites W91681889 @default.
- W2168616500 doi "https://doi.org/10.1002/bies.201400028" @default.
- W2168616500 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/25088374" @default.
- W2168616500 hasPublicationYear "2014" @default.
- W2168616500 type Work @default.
- W2168616500 sameAs 2168616500 @default.
- W2168616500 citedByCount "41" @default.
- W2168616500 countsByYear W21686165002015 @default.
- W2168616500 countsByYear W21686165002016 @default.
- W2168616500 countsByYear W21686165002017 @default.
- W2168616500 countsByYear W21686165002018 @default.
- W2168616500 countsByYear W21686165002019 @default.
- W2168616500 countsByYear W21686165002020 @default.
- W2168616500 countsByYear W21686165002021 @default.
- W2168616500 countsByYear W21686165002022 @default.
- W2168616500 countsByYear W21686165002023 @default.
- W2168616500 crossrefType "journal-article" @default.