Sho Akamine

📣📣📣Job alert Multimodal Language Department Max Planck Institute for Psycholinguistics MAX PLANCK RESEARCH GROUP LEADER POSITION (W2 BBESG) lnkd.in/eaq5MW9a

Psycholinguistic perspectives on face-to-face conversation Nature Reviews Psychology - Language production and comprehension are often studied as separate processes, but they are intertwined in naturalistic conversation. In this Review, Holler and Kuhlen...

Psycholinguistic perspectives on face-to-face conversation. New paper by @judithholler.bsky.social & Anna K. Kuhlen
doi.org/10.1038/s44159-026-00538-1

rdcu.be/e4rlV

Adults mark the communicative relevance of their gestures more for children than for other adults According to relevance theory, communication relies on speakers’ ability to signal relevant information, which addressees use to infer meaning efficiently. Most research within the relevance theore...

New open-access paper with @asliozyurek.bsky.social & Emanuela Campisi
We extend relevance theory to a multimodal view of language, demonstrating that speakers explicitly highlight iconic gestures as communicatively relevant in knowledge transmission context
🔗 www.tandfonline.com/doi/full/10....

Abstract of the paper

Figure 1 - experimental setup

Figure 2 - accuracy over time

Figure 3 - semantic similarity within/across games

I always thought preschoolers were too egocentric to do well on communication tasks where they had to talk about novel referents. Old papers reported they'd say stuff like "this one looks like my uncle's hat."

@vboyce.bsky.social shows that this is wrong!

osf.io/preprints/ps...

You can read the full chapter here: Iconicity in simultaneous constructions in sign languages | Max Planck Institute share.google/rzwFU9EpdXJb...

I confirm this is not Japanese!

I'm honored to have been awarded an NWO Rubicon grant! ⭐ Later this year, I will be joining the Spoken Language group at the @bcbl.bsky.social. Looking forward to more research on the cognitive mechanisms involved in perceptual learning, with @effiekapnoula.bsky.social and Arthur Samuel 🤩

矢野雅貴（編）・伊藤愛音・大石衡聴・大関洋平・小野創・小泉政利・峰見一輝・門馬将太（著）『ひとが言葉を理解・産出する仕組みー心理言語学 入門』

📢 心理言語学（文処理）の概説書が出ました!

心理言語学は大学の言語学の講義であまり扱われることがないので学ぶ機会が少ないと思うのですが、この本を読めば、「ひとが言葉を理解・産出する仕組み」に関する古典的な知見から最新の研究（予測処理、自然言語処理の技術を用いた計算モデリング的研究など）まで理解できるようになっています。第1章で、研究するときに身につけておきたい基本的な考え・研究のコツも紹介しているので学部生・院生のかたもぜひ。

本書が少しでも心理言語学に関心のある多くのひとに読まれ、今後、言語学内外の様々な分野との交流の契機になればとても嬉しく思います🍀

ECRs in the Spotlight: @shoakamine.bsky.social from @mpi-nl.bsky.social

Sho's PhD is all about #multimodality in online video-mediated communication (such as #Zoom) 📹

Read the interview 👇

medal.ut.ee/news/ecrs-in...

A busy figure showing some time series and timing distributions movement versus speech

Team science (all shared authorship), pre-registered, diamond open access paper now accepted at Open Mind: "Foreign Language Learners Show a Kinematic Accent in Their Co-speech Hand Movements".

with Bosker, Marieke Hoetjes, Doenja Hustin, Lieke van Maastricht

www.wimpouw.com/files/POSTPR...

for all of you using the ALIGN library (to measure lexical, syntactic and semantic alignment in conversations), Nick Duran has put together a great refactoring: ALIGN 2.0 (github.com/nickduran/al...), now integrated with Spacy and Bert

YouTube video by Wim Pouw EnvisionBOX overview2025

www.envisionbox.org has been shortlisted for the Leo Waaijers Open Science price: ukb.nl/en/news/shor...

@babajideowoyele.bsky.social @jamestrujillo.bsky.social @sarkadava.bsky.social @DavideAhmar @acwiek.bsky.social

Amazing Markus Küpper made an animated video:
www.youtube.com/watch?v=HduI...

Some of the popular chain restaurant recommendations: Sushiro, Kurasushi, Tsurutontan (udon noodles), Ohtoya (Japanese), Yayoi Ken (Japanese), Gyoza no Ohsho (Chinese), Coco curry. Hope you enjoy Japan!!

ERC Starting Grants for research into language, money circulation and medieval songs | Radboud University Three researchers at Radboud University will receive a Starting Grant from the European Research Council (ERC). They will receive a grant of rougly 1.5 million euros.

👀 👂 How does the brain merge what we hear & see? @lindadrijvers.bsky.social got an ERC Starting Grant (≈ €1.5M) for HANDWAVE, studying how we integrate audiovisual signals.

Vital for understanding language disorders & improving diagnostics.👇

www.ru.nl/en/research/...

You are right. That's why I'm trying to develop a good understanding so that I can make my judgments! And your summer school really helped me understand stats better :)

I think it’d be a great addition! Especially because I saw recommendations against using BF due to its sensitivity to priors, so instead using CI or HDI for NHST. That’s why I got confused when I read the statement in your book. I’ll read more papers/books and try to get a full understanding on this

Thank you so much for all the recommended readings!!!

Thank you so much for the elaborate answer! It was very informative!!

The physical book copies have arrived: www.routledge.com/Introduction...

I'm currently reading the paper. Thanks a lot for your suggestion!

Thank you for the response! I think one should reject the null in case 1 and fail to reject in case 2, although "0.0000001" is a tiny diff. I see the point here, but doesn't this issue apply to any discrete decisions based on continuous measures? Or would this be less of a problem for Bayes factor?

bruno.nicenboim.me/bayescogsci/

@bruno-nicenboim.fediscience.org.ap.brid.gy , @shravanvasishth.bsky.social #bayesian, #stats

Please help me learn! I see people using CI for hypothesis testing (whether 95% CIs for slope cover 0), but Nicenboim, Schad &Vasishth say in their fantastic book that "just by looking at the [CIs], we cannot make inferences about whether a null hypothesis can be rejected". Why is this the case?

Our conversation analysis software is now on CRAN! Reach out with any questions. We hope it’s useful for all you language and social interaction folks out there.

Constructing language: a framework for explaining acquisition Explaining how children build a language system is a central goal of research in language acquisition, with broad implications for language evolution, adult language processing, and artificial intelli...

Children are incredible language learning machines. But how do they do it? Our latest paper, just published in TICS, synthesizes decades of evidence to propose four components that must be built into any theory of how children learn language. 1/
www.cell.com/trends/cogni... @mpi-nl.bsky.social

I see, good to know! I’ll try segmented regression and splines and see which one makes more sense for my data ;)

Yes, that’s exactly what I had in mind! Didn’t know that they are called segmented regression. Thanks for your reply😊

At this point, I might as well --
Here's an infographic showing different ways to include age as a predictor. The top shows two extremes, just as a plain old numerical predictor (imposes linear trajectory) vs. categorical predictor (imposes nothing whatsoever). And then three solutions in between!

This is amazing!!! Would it also make sense to model age as a continuous predictor within different age bins? So instead of getting one point estimate (flat line) for the in-between solution, we would fit a regression line in each binned age so that the flat lines will follow the date better?