The overall tone suggests that the discussions are curious and somewhat analytical, with posts referencing specific data points like '39 bits/sec' and questioning the universality of the findings, demonstrating both interest and cautious engagement. Words like 'fascinating' and references to 'surprising' results convey enthusiasm, while mentions of methodology and skepticism indicate a thoughtful, balanced dialogue about the potential implications.
AgreementModerate agreement
Most discussions acknowledge the study’s surprising finding that different languages transmit information at similar rates, showing general support.
InterestHigh interest
Many posts highlight curiosity and fascination with the research, especially regarding how languages differ in speed but still achieve comparable information transfer.
EngagementModerate engagement
Participants reference the methodology, share examples, and question implications, indicating moderate depth of engagement.
ImpactModerate impact
There is a sense that the study may influence understanding of language universals, though some express skepticism or note methodological considerations, reflecting moderate perceived impact.
Abstract in brief
Languages vary greatly in structural features like the number of allowed syllables, which affects the Shannon information per syllable, but still enable efficient information transfer.
Crosslinguistic data shows that despite these structural differences, languages encode approximately similar information rates of about 39 bits per second, driven by the relationship between syllable information and speech rate.
These findings suggest that language evolution is influenced by complex interactions between linguistic structure, cognitive processes, and environmental factors, creating an optimized communicative system through biological, cultural, and ecological feedback loops.
@SmokeAwayyy Good example of why its important to have an x-axis with a units label. The differences are not that big!! (x-axis is bits per second) https://t.co/NuVo5rwacV
https://t.co/FcGFFdQDTc https://t.co/cd19KUk1Jh
Dec 15, 2024 · 203 likes · 2 shares · 7,042 followersView post →
兎
兎
@fluopoika · X
@SmokeAwayyy here is the full thing
https://t.co/mXnMbjPStr
the researchers (French and English-speaking btw) actually say that the difference is surprisingly small and more syllable variance compensates for lower talking speed, so all languages come out more or less the same
i would be
Dec 15, 2024 · 25 likes · 3 shares · 1,246 followersView post →
DS
Dr. Christian Scharun
@CScharun · X
Hier die Quellen & ein Special Thanks to @CedScherer, der die Silben-Grafik aus dem Paper nice designed hat!
Nov 16, 2024 · 20 likes · 16,838 followersView post →
Nov 11, 2024 · 14 likes · 1 share · 842 followersView post →
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CLaE
@leafs_s · X
Science Advances
Different languages, similar encoding efficiency: Comparable information rates across the human communicative niche https://t.co/XC7pdEBl9n
Dec 14, 2020 · 12 likes · 4 shares · 28,668 followersView post →
Languages vary in structural features like syllable complexity but achieve comparable information transfer rates of about 39 bits per second through complex interactions between linguistic structure, cognition, and…
Different languages, similar encoding efficiency: Comparable information rates across the human communicative niche | Science Advances https://t.co/n6Ie195s4A
Harriet Carroll: Long Covid Scientific Consultancy
@angryhacademic · X
RT @angryhacademic: Fun fact: some languages are spoken slower or faster than others, but regardless of speed, the amount of information tr…
Nov 9, 2025 · 3 shares · 8,809 followersView post →
SR
serene.rain
@ry_serene · X
@youwillmakemaps Tangential to this, I think you'd find this interesting, it stuck with me every since I came across it- comparison of the information density of different spoken languages (ie, syllables spoken vs information conveyed)
https://t.co/1EdLlwaxME
Oct 19, 2025 · 1 like · 1,922 followersView post →
@river_field @CasseCool データの出典は、2019年のScience Advances論文「Different languages, similar encoding efficiency: Comparable information rates across the human communicative niche」です。著者: Christophe Coupéら。詳細: https://t.co/z9dguJYYCL
Sep 28, 2025 · 1 like · 6,785,043 followersView post →
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aaron
@aarnphm · X
early sunday read
https://t.co/cdVtgrIj0C
Aug 24, 2025 · 1 like · 1,252 followersView post →
ТЧ
Томаш Чвартэк
@AntifascismoPl · X
RT @angryhacademic: Fun fact: some languages are spoken slower or faster than others, but regardless of speed, the amount of information tr…
@AnushkaSharad various links of things I've been speaking about broadly but not specific enough about:
https://t.co/bANbGbMYhj
https://t.co/xz29N6zwEc
https://t.co/WqjqPMNd13
https://t.co/ff3Ch3LCDF
https://t.co/ANXD262S9K
https://t.co/I1nqPRsX9F
@jiratickets Not proven as I would be satisfied, but the datasets appear very illustrative and statistically significant. https://t.co/RsK6yBxrbe https://t.co/Wk3vosezyz
@mimi10v3 but then you have to figure out 'how much entropy from a string' so https://t.co/CbgTifw9Al and https://t.co/vAwBTS9hG6 would tell us that each human language word encodes 3.2 bits per word.
@notjuve They might speak slower but they probably transmit information at basically the same rate. Some languages have a lower information density and a higher speech rate, others are spoken slower but have a higher density of information.
https://t.co/7AQErIoCOe
@rakishromantic Checks out I guess. That's interesting; it sounds like a kind of weak Sapir-Whorf result
Found the study I was thinking of btw, https://t.co/SvdIjBLMhY if you're interested https://t.co/7oaDB0MGEG
Mar 1, 2025 · 3 likes · 12,293 followersView post →
MA
mlg_asd
@HPCDisrespecter · X
@scheminglunatic There seems to be a narrow entropy band between bland and too weird where humans are capable of forming meaningful relationships between elements and produce their own meaning and everyone minimizes to this: https://t.co/CbgTifvBKN
@doomslide As a bilingual speaker (Cantonese and English), we speak Chinese at a much slower pace. As long as LLM prints the Chinese response and prompt slower, the bitrate should match that of English. There is actually a Science article on this observation.
https://t.co/OUsQdM4eYt
Different languages, similar encoding efficiency: Comparable information rates across the human communicative niche | Science Advances https://t.co/ZSbTRyVqWH
Different languages, similar encoding efficiency: Comparable information rates across the human communicative niche | Science Advances https://t.co/CHCLRQx0Wu
RT @moreisdifferent: This is a good example of why it's important to have an x-axis with a units label. The differences are not that big!…
Dec 15, 2024 · 3 shares · 118 followersView post →
PP
Paulo PJ☀️
@pjbarcia · X
RT @fluopoika: @SmokeAwayyy here is the full thing
https://t.co/mXnMbjPStr
the researchers (French and English-speaking btw) actually say…
Dec 15, 2024 · 3 shares · 1,935 followersView post →
JD
JP Deblonde
@jp_axs4ll · X
RT @fluopoika: @SmokeAwayyy here is the full thing
https://t.co/mXnMbjPStr
the researchers (French and English-speaking btw) actually say…
Dec 15, 2024 · 3 shares · 626 followersView post →
兎
兎
@fluopoika · X
@SmokeAwayyy here is the full thing
https://t.co/mXnMbjPStr
the researchers (French and English-speaking btw) actually say that the difference is surprisingly small and more syllable variance compensates for lower talking speed, so all languages come out more or less the same
i would be
Dec 15, 2024 · 25 likes · 3 shares · 1,246 followersView post →
I
Ian
@IanBlas27 · X
@SmokeAwayyy Full article here: https://t.co/4AqQyqnm7z
RT @moreisdifferent: This is a good example of why it's important to have an x-axis with a units label. The differences are not that big!…
Dec 15, 2024 · 3 shares · 1,376 followersView post →
TT
Terry Tân ❄️
@rudis02 · X
RT @moreisdifferent: This is a good example of why it's important to have an x-axis with a units label. The differences are not that big!…
Dec 15, 2024 · 3 shares · 1,987 followersView post →
DE
Dan Elton
@moreisdifferent · X
This is a good example of why it's important to have an x-axis with a units label. The differences are not that big!
Some German people speak slower - maybe careful thinkers?
https://t.co/NuVo5rwacV
paper https://t.co/FcGFFdQDTc (fig seems to be derived from supp. mat.) https://t.co/1evsx61CGl https://t.co/bHRBLRbojf
Dec 15, 2024 · 10 likes · 3 shares · 7,042 followersView post →
DE
Dan Elton
@moreisdifferent · X
@SmokeAwayyy Good example of why its important to have an x-axis with a units label. The differences are not that big!! (x-axis is bits per second) https://t.co/NuVo5rwacV
https://t.co/FcGFFdQDTc https://t.co/cd19KUk1Jh
Dec 15, 2024 · 203 likes · 2 shares · 7,042 followersView post →
HS
heatshock-blasted protein structure
@micimized · X
@litninglikeafox @k2pilot @ad0rnai Skimming the research, we shouldn't generalize based on ~2k sample narrations of ~15 random snippets from online corpi. I.e, I could see all the Thai snippets being highly formal, which is maybe traditionally read slowly, etc https://t.co/HExfCM05aP
RT @angryhacademic: Fun fact: some languages are spoken slower or faster than others, but regardless of speed, the amount of information tr…
Nov 9, 2024 · 3 shares · 12,874 followersView post →
HC
Harriet Carroll: Long Covid Scientific Consultancy
@angryhacademic · X
Fun fact: some languages are spoken slower or faster than others, but regardless of speed, the amount of information transmitted remains roughly stable (~39 bits/second) across languages
https://t.co/J1exRw9ERE
Easy read: https://t.co/LuaxpW60HO
Nov 9, 2024 · 9 likes · 3 shares · 8,809 followersView post →
اا
الدريس القانونية
@Aldrees_Law · X
Different languages, similar encoding efficiency: Comparable information rates across the human communicative niche | Science Advances
https://t.co/o92zPbPtef https://t.co/IXnN1ruHVS
Oct 31, 2024 · 57 shares · 2,995 followersView post →
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Aquiles
@Sapiensbici · X
RT @deedydas: Source: https://t.co/Kp80CroggN
Oct 31, 2024 · 57 shares · 180 followersView post →
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Raph
@RaphaelAzorin · X
Do languages all encode information at a similar rate?
Source: https://t.co/csw3yaRYa1
Insightful discussion on the metrics used: https://t.co/Ds0rdPTx5M by @Sean_Trott https://t.co/Y2LY4SfzwW
RT @ProfRayWills: Some languages are more efficient at getting to the point
But my wife informs me that can be distorted depending on who…
Oct 31, 2024 · 3 shares · 524 followersView post →
FT
Future Tech
@FSS_Tech · X
RT @ProfRayWills: Some languages are more efficient at getting to the point
But my wife informs me that can be distorted depending on who…
Oct 31, 2024 · 3 shares · 812 followersView post →
MB
MindFrozenTime #BTC #Bitcoin
@mindfrozentime · X
RT @deedydas: Source: https://t.co/Kp80CroggN
Oct 30, 2024 · 57 shares · 1,984 followersView post →
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Anthony
@AnthonyMBurnett · X
RT @deedydas: Source: https://t.co/Kp80CroggN
Oct 30, 2024 · 57 shares · 469 followersView post →
TW
Tom WhoKnows
@tomwhoknows · X
RT @deedydas: Source: https://t.co/Kp80CroggN
Oct 30, 2024 · 57 shares · 570 followersView post →
FS
Future Smart Strategies™
@FSS_Au · X
RT @ProfRayWills: Some languages are more efficient at getting to the point
But my wife informs me that can be distorted depending on who…
Oct 30, 2024 · 3 shares · 797 followersView post →
PW
Prof Ray Wills
@ProfRayWills · X
Some languages are more efficient at getting to the point
But my wife informs me that can be distorted depending on who is speaking, especially when I'm answering a question
Syllable rate and information rate in selected languages
https://t.co/01rMGWXAsl @ScienceMagazine https://t.co/q12GDOsPAh https://t.co/l8wgFc2ihf
Oct 29, 2024 · 5 likes · 3 shares · 18,397 followersView post →
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Caedo
@Gaede_ · X
Si he entendido bien esto (y es mucho si), las lenguas habladas transmiten información a casi igual velocidad, los lenguajes más rápidos dan menos info por sílaba y al revés, y eso puede tener que ver con nuestros límites de procesamiento, y ser universal
https://t.co/1YSr2KKl4O
Oct 29, 2024 · 57 shares · 1,490 followersView post →
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Tanja
@joy_pops · X
RT @deedydas: Source: https://t.co/Kp80CroggN
Oct 29, 2024 · 57 shares · 3,826 followersView post →
AW
Akiva Weinberger
@akivaw · X
@TBAlphabets @incunabula For what it's worth, it's worth checking the methodology of the original paper.
https://t.co/PYYU9zB9qm
If I understand right, they gave readers translations of the same text and asked them to read it
Oct 29, 2024 · 1 like · 1,631 followersView post →
EJ
Eric Johnson
@itsEric · X
RT @deedydas: Source: https://t.co/Kp80CroggN
Oct 29, 2024 · 57 shares · 2,997 followersView post →
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Gornmigar
@Gornmigar · X
RT @deedydas: Source: https://t.co/Kp80CroggN
Oct 29, 2024 · 57 shares · 288 followersView post →
FB
Formosan bhikkhu
@bhikkhu2007 · X
RT @deedydas: Source: https://t.co/Kp80CroggN
Oct 29, 2024 · 57 shares · 371 followersView post →
A
AVITAMINOSE
@avitaminose · X
RT @deedydas: Source: https://t.co/Kp80CroggN
Oct 29, 2024 · 57 shares · 1,156 followersView post →
SS
Slobodarska Srbija
@SlobodarskaSrbi · X
Zanimljivo istraživanje, upoređivali su 17 svetskih jezika, između ostalih i srpski https://t.co/a5KwNc4rTo https://t.co/MKuFhRpkEn
Oct 29, 2024 · 1 like · 1 share · 14,157 followersView post →
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Irhoud
@300_dips · X
@LivresScience il me semblait que peu importe la langue , la transmission d'information était similaire à environ 39 bits/s https://t.co/iLju8n74HJ
Interesting: Different languages, similar encoding efficiency: Comparable information rates across the human communicative niche | Science Advances https://t.co/HpaBFWUpyQ
Oct 29, 2024 · 1 like · 15,187 followersView post →
MM
Mihail Mihailov
@ekimir · X
Thanks to @deedydas for posting this amazing article...
https://t.co/cOsUJmEp0i
Oct 29, 2024 · 57 shares · 841 followersView post →
BP
boris podchezertsev
@bpodchezertsev · X
RT @deedydas: Source: https://t.co/Kp80CroggN
Oct 29, 2024 · 57 shares · 327 followersView post →
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nir
@nirvirain · X
RT @deedydas: Source: https://t.co/Kp80CroggN
Oct 29, 2024 · 57 shares · 46 followersView post →
TY
Tomoki Yamabayashi
@tomokilove · X
RT @deedydas: Source: https://t.co/Kp80CroggN
Oct 28, 2024 · 57 shares · 452 followersView post →
MB
MK Martinez-Baez
@MikeKMartinez · X
RT @deedydas: Source: https://t.co/Kp80CroggN
Oct 28, 2024 · 57 shares · 198 followersView post →
JM
JR-Renaissance Man
@pathfinder342 · X
RT @deedydas: Source: https://t.co/Kp80CroggN
Oct 28, 2024 · 57 shares · 1,698 followersView post →
C
cacouteau
@cacouteau · X
RT @deedydas: Source: https://t.co/Kp80CroggN
Oct 28, 2024 · 57 shares · 2,852 followersView post →
CB
Carlos Blanco
@carlos_m_blanco · X
Vio esto, @martinhadis ? Different languages, similar encoding efficiency: Comparable information rates across the human communicative niche | Science Advances https://t.co/gtWOoPcR0k
@TostadaEnPolvo ¿Cómo saca una conclusión que ni siquiera coincide con el título del trabajo? "Different languages, similar encoding efficiency: Comparable information rates across the human communicative niche"
Different languages, similar encoding efficiency: Comparable information rates across the human communicative niche | Science Advances https://t.co/kYcw9g0Vut
Different languages, similar encoding efficiency: Comparable information rates across the human communicative niche | Science Advances https://t.co/OlG1yrC1a2
Languages
Here is the structured information based on the document you've provided:
---
Title:
Different languages, similar encoding efficiency: Comparable information rates across the human communicative niche
Author:
Christophe Coupé, Yoon Mi Oh, Dan Dediu, François https://t.co/8JJt8QCLzZ
@JMAbrassart @ThatYuta @Ori_Trabelsi Japanese has a high speech rate (mean number of syllables/second) but all languages seem to transmit information at a similar rate (https://t.co/3Bf67dvWmr)
@MatsudaTony23 @Lol8ball InB4 "SOURCE?"
Different languages, similar encoding efficiency: Comparable information rates across the human communicative niche.Sci. Adv.5,eaaw2594(2019).DOI:10.1126/sciadv.aaw2594,Christophe Coupé et al.
(Pega o DOI code e joga num pirateador de artigo academico).
@MishaTeplitskiy @hugoreasoning Yes- here’s an article from a few years ago finding that even though speech rates vary across languages, the info exchanged (in bits/s) is constant. Caveat: seems a little wild to me to claim you can measure bits per second, but idk enough to critique
https://t.co/Ivr2lPzE1p
Coupé, Christophe & Oh, Yoon & Dediu, Dan & Pellegrino, François (2019) Different languages, similar encoding efficiency: Comparable information rates across the human communicative niche. In: Science Advances: 1-10.
言語ごとの情報伝達量、面白い視点です
評価法に膝を打ちました
@notcomplex_ That weird, since the same(?) paper explicitly states that there was a similar information rate across all languages, accounting for speed of speech and information density
And I can't find your images in the paper?
https://t.co/l35AFFlGno https://t.co/K2eTpSdbMK
Different languages, similar encoding efficiency: Comparable information rates across the human communicative niche | Science Advances https://t.co/mJDEbWvcBf
You know, I think about the lower-bound nature of the Shannon number, and how 10.1126/sciadv.aaw2594 measured linguistic complexity by syllabic complexity (rather than morphemic or phonemic), and how, for the points said papers are trying to make, these are often "good enough"
On further review, I don't know that I strictly agree with the paper's specific means of measurement, but the general conclusion of human communication having a broad upper-bound that's under ten bytes per second strikes me as more-or-less sound https://www.science.org/doi/10.1126/sciadv.aaw2594
Interesting! I would have guessed Spanish would have beaten the Japanese. I like to see how other science fields present their findings :)
Different languages, similar encoding efficiency: Comparable information rates across the human communicative niche https://t.co/k3hbkkldNg
@Te_Reo_KA Hi, thanks for sharing your thoughts! Can't you access the original research article? https://t.co/4AFHQXuTlx It should be open-access. The authors describe how they have estimated the rates.
Original research article: https://t.co/4AFHQXuTlx
"Graphic Detail" article by @TheEconomist: https://t.co/brCeCB6v2E
Jun 15, 2022 · 3 likes · 24,576 followersView post →
KF
Kenny Chiu aka Lingua Frank
@lingua__frank · X
References: Coupé, C., Oh, Y. M., Dediu, D., & Pellegrino, F. (2019). Different languages, similar encoding efficiency: Comparable information rates across the human communicative niche. _Science advances_, _5_(9), eaaw2594. https://t.co/DUeE0nJjvD
RT @lunamoth: Different languages, similar encoding efficiency: Comparable information rates across the human communicative niche https://t…
Dec 4, 2021 · 2 shares · 3,074 followersView post →
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lunamoth
@lunamoth · X
Different languages, similar encoding efficiency: Comparable information rates across the human communicative niche https://t.co/WDNjy4vi5a
Dec 3, 2021 · 2 shares · 3,074 followersView post →
NH
Nameless Haiku
@NamelessHaiku · X
@MystykalMystyk In Japanese, yes they’re traditionally 5-7-5. But since English encodes more information per syllable than Japanese (https://t.co/216wWJSZQh), many authors use fewer syllables in English Haiku!
Oct 7, 2021 · 4 likes · 1 share · 833 followersView post →
JV
Jose Luis Gutierrez Villanueva
@josechkarad · X
Different languages, similar encoding efficiency: Comparable information rates across the human communicative niche https://t.co/BOICWhJzao #sciencefactsamazing #scienceTwitter
Different languages, similar encoding efficiency: Comparable information rates across the human communicative niche | Science Advances https://t.co/fvlZVB5Vht
RT @leafs_s: Science Advances
Different languages, similar encoding efficiency: Comparable information rates across the human communicativ…
Dec 14, 2020 · 4 shares · 1,538 followersView post →
JM
Jr Wei Wu, MD
@Bohemian_Wu · X
RT @leafs_s: Science Advances
Different languages, similar encoding efficiency: Comparable information rates across the human communicativ…
Dec 14, 2020 · 4 shares · 573 followersView post →
C
CLaE
@leafs_s · X
Science Advances
Different languages, similar encoding efficiency: Comparable information rates across the human communicative niche https://t.co/XC7pdEBl9n
Dec 14, 2020 · 12 likes · 4 shares · 28,668 followersView post →
JV
Jordane VASPARD
@jordanevaspard · X
RT @waxzce: Different languages, similar encoding efficiency: Comparable information rates across the human communicative niche https://t.c…
39 BITS - Different languages, similar encoding efficiency: Comparable information rates across the human communicative niche | Science Advances #language https://t.co/298PrslgVj
RT @jongalloway: Different languages, similar encoding efficiency: Comparable information rates across the human communicative niche
It's…
Jan 29, 2020 · 1 share · 16,287 followersView post →
JG
Jon Galloway
@jongalloway · X
Different languages, similar encoding efficiency: Comparable information rates across the human communicative niche
It's a little surprising to me that English is on the high end, without gendered verbs that allow more ellipsis, etc.
https://t.co/Hhd3R0Fff2 https://t.co/yxXLeFuczt
Jan 29, 2020 · 6 likes · 1 share · 54,519 followersView post →
A
Arnoud
@ArnoudVbrief · X
@Jarlvanderploeg @LiesKoen Different languages, similar encoding efficiency: Comparable information rates across the human communicative niche https://t.co/kozXHed2NQ
An interesting read!
Different languages, similar encoding efficiency: Comparable information rates across the human communicative niche https://t.co/ULXJ2orZcV
Different languages, similar encoding efficiency: Comparable information rates across the human communicative niche | Science Advances https://t.co/r3d4IEkgiE
@mosh_shu Different languages, similar encoding efficiency: Comparable information rates across the human communicative niche | Science Advances https://t.co/YGbhaBy4II
Fascinating.
Different languages, similar encoding efficiency: Comparable information rates across the human communicative niche https://t.co/CdD2lDLPN7
Oct 13, 2019 · 5 likes · 1,107 followersView post →
MB
Michael D. Baker
@mikebakerlaw · X
Different languages, similar encoding efficiency: Comparable information rates across the human communicative niche https://t.co/ybDSmurA4N
Original study:
Chr. Coupé et al., Different #languages, similar #encoding efficiency: Comparable #information rates across the human communicative niche, @ScienceAdvances 5(9), eaaw2594:
https://advances.sciencemag.org/content/5/9/eaaw2594
Different languages, similar encoding efficiency: Comparable information rates across the human communicative niche | Science Advances https://t.co/hemDpNpjKJ
This was fun: "Different languages, similar encoding efficiency: Comparable information rates across the human communicative niche", by Christophe Coupé Yoon Mi, Dan Dediu and François Pellegrino. https://t.co/vUPkFiJttg
Different languages, similar encoding efficiency: Comparable information rates across the human communicative niche @FrPellegrino @LabexAslan https://t.co/WzaMx4wyLa
Any improvement on 39 bits/sec? Different languages, similar encoding efficiency: Comparable information rates across the human communicative niche https://t.co/zwMZfVL4Y6
Different languages, similar encoding efficiency: Comparable information rates across the human communicative niche | Science Advances https://t.co/mQ3bGmoXYV
Sep 15, 2019 · 1 like · 1 share · 723 followersView post →
RC
Robin Cousins
@Robin_Cousins · X
RT @jgvfwstone: Different languages, similar encoding efficiency: Comparable information rates across the human communicative niche
Coupé,…
Different languages have a plethora of distinctive syllabe repertoires, yet all of them seem to transmit information at a similar rate: ~39 bits/s.
https://t.co/o4jOfHbIKP
org/10.1126/sciadv.aaw2594 Full text: https://www.ncbi.nlm.nih. gov/pmc/articles/PMC6984970/ Pellegrino, F., Coupé, C., & Marsico, E. (2011). Across ...
Uno de los resultados más interesantes de la lingüística." https://www.science.org/doi/10.1126/sciadv. aaw2594 · Puede ser un gráfico de texto que dice "Say ...
Communication Verbale | PDF | la communication | Communication ...
News
9, eaaw2594| DOI: 10.1126/sciadv.aaw2594 2. Catherine Matacic (2019) Human speech may have a universal transmission rate : 39 bits per second (https://www ...
9, eaaw2594| DOI: 10.1126/sciadv.aaw2594. 2. Catherine Matacic (2019) Human speech may have a universal transmission rate : 39 bits per second (https://www ...
The Dark Matter of Pragmatics | PDF | Autism Spectrum
News
https://doi.org/10.1126/ sciadv.aaw2594. Couper-Kuhlen, E. & Selting, M. 2017. Interactional Linguistics: Studying Language in Social Interaction. Cambridge ...
Langsomme og hurtige sprog formidler samme mængde information
News
... 10.1126/sciadv.aaw2594 · Rolf Theils profil (UiO). \ Eksempel på tekst, som deltagerne skulle læse højt. Deltagerne i studiet skulle læse korte ...