Language Log

Archeological data with AI- and physics-based modeling explain typhoon-induced disasters in inland China around 3000 yr B.P.
Science Advances, 12.10 (3/4/25)
Ke Ding, Siyang Li, Aijun Ding, Houyuan Lu, Jianping Zhang, Dazhi Xi, Xin Huang, Sijia Lou, Xiaodong Tang, Xin Qiu, Lejun He, Yue Ma, Haoxian Lin, Shiyan Zhang, Derong Zhou, Xiaolu Zhou, Zhe-Min Tan, Congbin Fu, Quansheng Ge

To fully understand the significance of this paper, one must realize that the Central Plains (Zhōngyuán 中原) and Chengdu Plain in Sichuan are crucial, fertile agricultural and economic hubs with deep historical significance. The Central Plains served as the "cradle of Chinese civilization", and was a vital transport corridor in the East Asian Heartland (EAH). The Chengdu Plain has been a perennial "Land of Plenty", supported by the Dūjiāngyàn 都江堰 irrigation system, a miracle of ancient hydraulic engineering still operating today more than two millennia after it was constructed.

For those who don't know what "Chinese Text Project" (CTP) is, here's a:

Brief introduction:

The Chinese Text Project is an online open-access digital library that makes pre-modern Chinese texts available to readers and researchers all around the world. The site attempts to make use of the digital medium to explore new ways of interacting with these texts that are not possible in print. With over thirty thousand titles and more than five billion characters, the Chinese Text Project is also the largest database of pre-modern Chinese texts in existence.

You may wish to read more about the project, view the pre-Qin and Han, post-Han or Wiki tables of contents, or consult the instructions, FAQ, or list of tools. If you're looking for a particular Chinese text, you can search for texts by title across the main textual sections of the site.

(from the CTP homepage)

Text-To-Speech technology has improved enormously over the decades — but there's still some headroom, as a friend has recently underlined for me. He observes that when The Economist magazine first publishes a piece online, it appears with a AI-read audio, and then later with a human-read version:

The rhythm/prosody/pitch (I'm not exactly sure which – all three?) is the same in nearly every sentence and even clause. This high-then-falling pattern is fine in one sentence, but repeated 50 times in a row is awful.

Later, those pieces that make it into the print edition get their own, human-read version. So voilà, you have a perfect before-and-after.

The Chinese Computer: Competition or Cooperation?
book review by
David Moser
Beijing Capital Normal University

Thomas Mullaney’s The Chinese Computer is a fascinating account of the decades-long effort by linguists, computer scientists and engineers to incorporate Chinese characters into the digital age. Drawing on a vast body of historical and scientific sources, the book offers the reader an lively account of the formidable technical challenges involved in creating practical and intuitive input methods for one of the world’s most complex writing systems. The reader will come away with an increased awareness of the contributions that Chinese computing brought to modern computer science.

Chinese scholars and sinologists working in the 1980s and 90s will recall the early generations of Chinese word processors—slow, unreliable, and crash-prone—when every incremental gain in speed or compatibility felt like a small miracle. Thanks to the ingenuity and innovation of computer input developers, today anyone on the planet can create Chinese texts using an impressive ecosystem of powerful and user-friendly tools.

Meet Habibi – the Chinese AI uniting 20 Arabic dialects in a Middle East first
Lead author says there are many differences between Arabic dialects and Modern Standard Arabic, which is used in official circumstances
Zhao Ziwen, SCMP, 28 Feb 2026

The paper that presents this new model is called “Habibi: Laying the Open-Source Foundation of Unified-Dialectal Arabic Speech Synthesis”. It was published last month on arXiv, an open-access repository that is not peer-reviewed.  I will be interested to hear what Language Log readers think of its prospects.

"It cannot read the human heart" by Yan Ge (b/1984), London Review of Books Blog (2/20/26)

Taiwan education ministry adds AI to English speaking test:
New system gives students instant feedback on spoken English
Lai Jyun-tang, Taiwan News | Feb. 3, 2026

Is this a first in the whole world?  Or is it already common in many countries?

TAIPEI (Taiwan News) — Taiwan’s education ministry has added artificial intelligence to its English speaking assessment system to help students better learn and practice spoken English.

Liberty Times reported Monday that the upgraded system uses artificial intelligence to score pronunciation and analyze spoken answers in real time. Education officials said the move supports Taiwan’s 2030 bilingual policy by placing greater emphasis on practical communication skills.

From Charles Belov:

YouTube music's algorithm suggested to me an album, 24 Hours in Soweto, in the amapiano genre that I love which mostly comes from the Zulu community in South Africa. I was struck by the album cover, which seems to have some random Chinese characters, some garbled. Wondering if it's AI art. Can you make any sense of it?

There's a big snowstorm expected this weekend, and so lots of Monday events are being cancelled. One of the notices that I got today had this Subject line:

Canceled January 26 colloquium hey Siri hey Alexa, what is Monday’s date?

Jesse Ventura has had a successful career as a pro wrestler, actor, and politician — all largely built on the foundations of his mastery of pro wrestling rhetoric.  And recent events have brought him back into the public eye. His Jan. 8 interview on the Minneapolis Fox News channel got 2.7 million likes and more than 47 thousand comments on TikTok, lots of play on other news-ish outlets, 295k views and more than 7400 comments on YouTube,  and 3.7 million views and more than 1400 comments on X.

See "The art of the promo" (10/31/2020) for some background on this rhetorical style, including its role in Donald Trump's career. And if you haven't listened to Ventura's interview, you should do so as background for this post.

Melissa Heikkilä, "LeCun: 'Intelligence really is about learning'", Financial Times 1/2/2026:

(The AI pioneer on stepping down from Meta, the limits of large language models — and the launch of his new start-up)

LeCun’s lightbulb moment came as a student at the École Supérieure d’Ingénieurs en Électrotechnique et Électronique in Paris in the 1980s, when he read a book about a debate on nature versus nurture between the linguist Noam Chomsky and Jean Piaget, a psychologist. Chomsky argued that humans have an inbuilt capacity for language, while Piaget said there is some structure but most of it is learnt.

“I’m not gonna make friends saying this . . . ” he tells me, “but I was reading this and I thought everything that Chomsky . . . was saying could not possibly be true, [because] we learn everything. Intelligence really is about learning.”

AI research — or neural networks, as the technology was then called, which loosely mimic how the brain functions — was practically a dead field and considered taboo by the scientific community, after early iterations of the technology failed to impress. But LeCun sought out other researchers studying neural networks and found intellectual “soulmates” in the likes of Geoffrey Hinton, then a faculty member at Carnegie Mellon.

Friday's On The Media, "Deep Fakes, Data Centers, And AI Slop — Are We Cooked?" has some linguistically-interesting discussion, especially the part about the rise of AI-generated trolling — more on that later. But this post is just a quick note on a widespread symptom of current end-to-end speech-to-text technology, where the text end of the process is letter-sequence tokens of obscure origin, yielding some peculiar spelling errors.