Language Log

A little over a week ago, I described how I mistyped "stalk" for "stock".  That led to a vigorous discussion of precisely how people pronounce "stalk".  (As a matter of fact, in my own idiolect I do pronounce "stock" and "stalk" identically.)  See:

"Take stalk of: thoughts on philology and Sinology" (3/29/20)

I just now typed "One I first saw…" when I meant "When I first saw…".

This post is another pitch for our on-going effort to develop simple, easy, and effective ways to track neurocognitive health through short interactions with a web app.  Why do we want this? Two reasons: first, early detection of neurodegenerative disorders through near-universal tracking; and second, easy large-scale evaluation of interventions, whether those are drugs or lifestyle changes. You can participate by enrolling at https://speechbiomarkers.org, and suggesting it to your friends and acquaintances as well.

Today, diagnosis generally depends on scoring below a certain value on cognitive tests such as the MMSE, which usually won't even be given until you've started experiencing life-changing symptoms — and at that point, the degenerative process has probably been at work for a decade or more. This may well be too late for interventions to make a difference, which may help explain the failure of dozens of Alzheimer's disease drug trials. And it's difficult and expensive to evaluate an intervention, in part because it requires a series of clinic visits, making it hard to fund support for trials that don't involve a patented drug.

If people could accurately track their neurocognitive health with a few minutes a week on a web app, they could be alerted to potential problems by the rate of change in their scores, even if they're many years away from a diagnosis by today's methods. Of course, this will be genuinely useful only when we have ways to slow or reverse the process — but the same approach can be used to evaluate such interventions inexpensively on a large scale.

More background is here: "Towards tracking neurocognitive health", 3/24/2020. As that post explains, this is just the first step on what may be a long journey — but we will be making the data available to all interested researchers, so that the approaches that have worked elsewhere in AI research over the past 30 years can be be applied to this problem as well.

Again, you can participate by enrolling at https://speechbiomarkers.org . And please spread the word!

A rare find of linguistic news in a blog concerning the Supreme Court:

"Relist Watch: Kalsarikännit edition", John Elwood, SCOTUSblog

SCOTUSblog is about the work of the Supreme Court of the United States.  The author must have a streak of the linguist in him, for he chose to  begin today's post with three paragraphs about language usage related to the coronavirus crisis.  Here they are:

As America begins its fourth week under quarantine with widespread working from home, we've begun noticing shifts in grooming, attire and behavior as many of us remain cooped up for weeks on end.

In previous posts on this subject (see "Readings" below), we have listed a number of traits of the typical troll.  There are a few more items that have not been explicitly covered, so I will mention them here.

First, though, a prefatory remark about the defining nature of a troll and what his / her modus operandi consists of.  Namely, the primary purpose of a troll is to disrupt the smooth, collaborative functioning of a discussion group that is dedicated to the discovery of ideas and free, fruitful, civil exchange of opinions.  Trolls want to inflame others so as to bring a screeching halt to amicable, productive dialogue and discourse.  Sometimes trolls will come perilously close to derailing an interesting discussion, causing a furor of denunciation and recrimination, but then, if the group is fortunate and things calm down, they will end up having a stimulating, enlightening conversation after all.

A conspicuous characteristic of the typical troll is that either they do not read the comments policy of the forums where they deposit their invective or they read the guidelines but choose not to adhere to them.  Our comments policy may be accessed by clicking on the link at the top right of the Language Log (LLog) homepage.  However, since many commenters consistently break these rules, I think it is fitting to list them here for all LLog readers to see:

The good news is that it's a language.

The bad news is that you can't speak it.

"China's version of TikTok suspends users for speaking Cantonese:  ByteDance's short video app Douyin has been urging live streamers to switch to the country's official language", Abacus via SCMP (4/3/20)

I've been hearing similar reports concerning the use of Cantonese on other social media:  it is definitely discouraged or even forbidden.  At least, though, the Abacus article does not miscall Cantonese a dialect, but affords it the dignity of referring to it as a language.

A month ago ("Real people in virtual worlds: a viral update?", 3/5/2020), I noted that

[T]he popular virtual-meeting applications don't yet have a way for a group to hold their discussion in a shared virtual space, as in current video games or applications like vrchat.

And when participants' avatars (realistic or otherwise) can sit or move in a shared space, with appropriate directional audio and so on, we'll be able to have virtual seminars, virtual workshops, virtual corridor conversations — and most important, virtual dinner parties!

One positive outcome of the growing panic over COVID-19 will be to hasten the deployment of these technologies.

So today I learned that some University off Pennsylvania students are creating a virtual Penn campus, with the idea of holding (a version of) events there like Hey Day and the Penn Relays — "UPenn students recreated their campus on 'Minecraft' in painstaking detail while stuck at home — take a look", Business Insider 4/5/2020.

[This is a guest post by Till Kraemer]

I live in Hong Kong, and many things are fascinating here, especially the way they use English characters in Cantonese. Some very frequently used words (including tones and everything) don't have Chinese characters at all, like "hea" and "chur". Obviously it's colloquial, but this interesting Chinese/English mix goes as far as official names of movies:

(image source)

From Diana Shuheng Zhang:

Jūnzǐ yǒu jiǔ dé 君子有九德：A lordling has nine essential properties:

kuān ér lì 寬而栗，tolerant but tough,
róu ér lì 柔而立，flexible but upright,
yuàn ér gōng, 願而恭，ambitious but humble,
luàn ér jìng 亂而敬，rebellious but respectful,
rǎo ér yì 擾而毅，adaptive but resolute,
zhí ér wēn 直而溫，candid but considerate;
jiǎn ér lián 簡而廉，simple and incorruptible,
gāng ér sè 剛而塞，unbending and honest,
qiáng ér yì 強而義。strong and principled.

—— from the chapter of the Book of Documents, "Gaoyao's Strategy" 《尚書·皋陶謨》 (the chapter was composed ca. 700 BCE, according to Early Chinese Texts (1993), Michael Loewe, ed., 376-389 [by Edward L. Shaughnessy])

A neat animation by Jack Stratton of James Jamerson's bass line in the 1967 hit song "Ain't no mountain high enough":

The best way to watch it is full screen, in my opinon.

It would be nice to have a program that creates a similar dynamic highlighting of syllable-scale pitches and rhythms in speech, maybe based on Gentle and Drift.

Look everyone! it's a post about language in China by not-Victor! :)

I just had to drop everything and write this post while I was listening to the latest Reply-All podcast, this week consisting of a series of phone interviews with people around the world about the experience of the COVID-19 pandemic in their area. The first interview was with Justine from Shanghai, and she was talking about ways people were working around censorship in talking about…

…uh oh I suddenly realize I may be doing a disservice to the Chinese public by posting about this, so I won't go into all the detail I intended. Anyway, the basic idea is that folks were using homophonic transliteration with emojis to get around censorship of certain stories about the epidemic there. You can listen to the podcast here; the relevant bit is between minutes 4:40 and 6:15.

If you can imagine it, this would be like trying to parse "Little Red Riding Hood" from emojis  like💡💯🐀✍️👱‍♂️. Leaving comments open to see if anyone can figure out what homophonic transliteration words I intend for that sequence. First prize is a disinfected plastic cup with logo from the Language Log water cooler stash delivered by drone sometime in 2022.

It's probably worth noting that this idea of communicating via pictures of sound-alikes is basically the actual honest to god origin of phonetically based writing systems. Also worth noting that this way of repurposing symbols to represent sounds of another expression has a long history particularly in Chinese and related languages, whose linguistic features mean that you often have lots of homophones and near-homophones, and whose logographic writing systems probably lend themselves to that kind of graphemic/phonemic cross-indexing during lexical lookup. (Someone must be studying that, right? ) So you get a lot of punning and double-entendres in Chinese writing, if I understand rightly.

If the idea of homophonic transliteration is new to you,  you could get in the wayback machine and check out this archival LL post from simpler times, here.

Wishing all my fellow humans the very best from a living room in Arizona!

[This is a guest post by Cyrus Shaoul]

I am a long time LL reader and I came across an interesting machine translation error today.

When my Japanese friend sent me this sentence:

62年前のこの日に慶應義塾大学病院で命を授かりました。

I was flummoxed by the verb 授かる [VHM:  sazukaru {"be gifted / endowed with (an award / title); to be blessed (e.g., with a child); be granted / taught; to be given something of great value / a treasure, by deities or someone of higher social class"}] at the end of the sentence, so I asked Google Translate for help and lo and behold, it said:

"On this day, 62 years ago, I died at Keio University Hospital."

The most recent SMBC: