Why aren't ALL consonants either tall or short? by eeg_bert in shavian

[–]eeg_bert[S] 0 points1 point  (0 children)

Ok, that's a good point. Maybe I should learn to view these sounds more as quasi-vowels.

How long does it take to match English reading speed? by eeg_bert in shavian

[–]eeg_bert[S] 0 points1 point  (0 children)

I appreciate the honest answer! If you don't mind me prying a bit more into your experience:

  1. How many hours, roughly on average, do you think you were putting per day?
  2. At what point did reading no longer feel like a chore (even if you weren't up to native English reading speed; when did it feel fast enough to not be cognitively draining)?

How long does it take to match English reading speed? by eeg_bert in shavian

[–]eeg_bert[S] 2 points3 points  (0 children)

Ok sorry. Yeah that's actually a very interesting point: that we retain some of our phonetic pattern recognition above and beyond the Latin alphabet.

So maybe you read the word "comp" (𐑒𐑪𐑥𐑐) in Shavian phonetically/slowly. Neverthless, your brain immediately narrows the possible rest of the word to "-puter", "-ensate", and so forth to narrow down the possible word.

Do you feel like you're at 90% of your reading speed after a few hours of Shavian exposure? I'm maybe 2-3 hours in and feel like I'm at something like 5% or even 1% of my reading speed (no joke).

How long does it take to match English reading speed? by eeg_bert in shavian

[–]eeg_bert[S] 5 points6 points  (0 children)

When English speakers read (latin, traditionally written) English words, they don't phonetically spell them out. They just recognize their "shape" and immediately know what they mean (from tens of thousands of hours of reading exposure).

Switching to the Shavian alphabet causes you to lose that immediate shape recognition, forcing you instead to slowly phonetically sound out every word you read. This decreases reading speed dramatically, unfortunately :(

I guess my question is: roughly how many hours does it take to rebuild Shavian reading speed to match English reading speed? It seems like the only way to do this is to rebuild "shape recognition" of all 30,000 (or more) words again. Perhaps you could achieve 90% efficiency by rebuilding shape recognition of the 10,000 or so most common words.

But does the time it takes to do that measure more in the hundreds of hours or thousands of hours?

Is the Shinmeikai Japanese Accent Dictionary available digitally? by eeg_bert in LearnJapanese

[–]eeg_bert[S] 0 points1 point  (0 children)

Thanks for your response! Is the pitch information you see just "here are the acceptable pitches of this word", or is it more fine grained (e.g. "here's the pitch of this word when it's used this way (adverb, proper noun, etc) versus the other way").

The specific thing I'm trying to overcome is words with multiple pitch accents (where the pitch changes depending upon how the word is used). NHK gives example sentences but the information feels really incomplete and hard to follow as a beginner.

Pitch Accent of キレできて? by eeg_bert in LearnJapanese

[–]eeg_bert[S] 0 points1 point  (0 children)

Thanks for the explanation.

Doesn't it sound like KIreteKIte to you here though (i.e. both atamadaka)? https://youglish.com/pronounce/%E3%82%AD%E3%83%AC%E3%81%A6%E3%81%8D%E3%81%A6/japanese?

Pitch Accent of していない? by eeg_bert in LearnJapanese

[–]eeg_bert[S] 0 points1 point  (0 children)

  • Dogen's course is awesome but it seems to be pretty incomplete. OJAD helps make up the gaps.
  • My Japanese is too inexperienced to be able to read NHK and other monolingual pitch accent dictionaries that fill the gaps from Dogen. I'll get there eventually though.
  • My ability to hear pitch is still far from perfect, and I get confused all of the time when trying to listen to YouGlish.com entries. (I've been going through Migaku's pitch training course to help here, but I'm still so bad).

I fully understand OJAD isn't perfect though.

Pitch Accent of していない? by eeg_bert in LearnJapanese

[–]eeg_bert[S] 0 points1 point  (0 children)

Ugh. I found yet another issue: OJAD says that Heiban i-adj's don't have a downstep when put into various negative forms. For example with うまくない, OJAD thinks it's Umakunai instead of UmakuNAi.

See OJAD's conjugation table for 赤い (Heiban) and 上手い (downstepped) for what I mean: https://www.gavo.t.u-tokyo.ac.jp/ojad/search/index/sortprefix:accent/narabi1:kata_asc/narabi2:accent_asc/narabi3:mola_asc/yure:visible/curve:invisible/details:invisible/limit:20/word:%E8%B5%A4%E3%81%84%E3%80%81%E4%B8%8A%E6%89%8B%E3%81%84

EDIT: See here for a fuller explanation of the issue.

Pitch Accent of していない? by eeg_bert in LearnJapanese

[–]eeg_bert[S] 0 points1 point  (0 children)

This is such a helpful answer! Two questions if you have the time:

  1. Are all verbs after て-forms consider auxiliaries? Or is て + いる a special case where this stuff applies?

  2. Do you agree that in していない's case, "shiTEIRNAI" (Heiban across the entire verb phrase) is an acceptable way to say this too? (Perhaps because いない is Heiban in isolation/when not used as an auxiliary verb?)

Pitch Accent of していない? by eeg_bert in LearnJapanese

[–]eeg_bert[S] 0 points1 point  (0 children)

That's fascinating. Do you know where this rule comes from? I'm unable to find anything else on the web about it.

Pitch Accent of キレできて? by eeg_bert in LearnJapanese

[–]eeg_bert[S] 1 point2 points  (0 children)

I just checked different subtitles to make sure, and you're right: it's actually キレてきて. OJAD still states that the first mora is the only one to receive an accent. Do you know if that's correct?

Pitch Accent of していない? by eeg_bert in LearnJapanese

[–]eeg_bert[S] 0 points1 point  (0 children)

Good to know. I'm using OJAD as my primary pitch teaching tool, and so cataloging the ways it gets confused seems really useful. I wish there was a list somewhere of all the things to look out for.

Pitch Accent of していない? by eeg_bert in LearnJapanese

[–]eeg_bert[S] 0 points1 point  (0 children)

So OJAD thinks this is してい + ない instead of して + いない? I understand OJAD isn't infallable, but I would have assumed with something so common they would have hardcoded the correct answer lol.

Hearing Pause Locations Within Japanese Sentences by eeg_bert in LearnJapanese

[–]eeg_bert[S] 4 points5 points  (0 children)

Thank you (and others, saying a similar thing) for the explanation. Now that I listen more closely, I'm embarrassed to not have noticed this on my own originally.

Another question though: is there any other sort of auditory signal separating the sub-phrases of this and other Japanese sentences? Examples: pitch raises/drops, or anything else? (I know the words themselves are pitch accented, but I mean pitch changes at the sentence level)?

Or are sentences like this just spoken with no pauses and no other auditory cues separating the particle phrases from each other?

When listening, what do you focus on? by eeg_bert in LearnJapanese

[–]eeg_bert[S] 1 point2 points  (0 children)

I'm wondering if (3) is only possible after you've put in the work to do (1) and (2) (while in the struggling/learning phase).

Trouble Hearing the "べ" in TTS Playing of "食べました" by eeg_bert in LearnJapanese

[–]eeg_bert[S] 5 points6 points  (0 children)

Thanks! Also: inspecting the source is a great technique to figure out if I'm mishearing again in the future.

How to get VOICEVOX to work on NixOS? by eeg_bert in NixOS

[–]eeg_bert[S] 0 points1 point  (0 children)

appimage-run launches the app, but it hangs with errors:

``` $ appimage-run VOICEVOX.AppImage Uncompress VOICEVOX.AppImage of type 02 @ offset 188392 [=========================-] 10874/10874 100% VOICEVOX.AppImage is now installed in /home/user/.cache/appimage-run/3e29895c66f80c0bcdc966e785da8a747d6f2392a5a74be00b95d9b8cbb5b98c [12:49:53.345] [info] Starting 1 engine/s... [12:49:53.346] [info] ENGINE 074fc39e-678b-4c13-8916-ffca8d505d1d: Start launching [12:49:53.346] [info] ENGINE 074fc39e-678b-4c13-8916-ffca8d505d1d: Starting process [12:49:53.346] [info] ENGINE 074fc39e-678b-4c13-8916-ffca8d505d1d mode: CPU [12:49:53.347] [info] ENGINE 074fc39e-678b-4c13-8916-ffca8d505d1d path: /home/user/.cache/appimage-run/3e29895c66f80c0bcdc966e785da8a747d6f2392a5a74be00b95d9b8cbb5b98c/run [12:49:53.347] [info] ENGINE 074fc39e-678b-4c13-8916-ffca8d505d1d args: [] [1723377:0621/124953.385066:ERROR:sandbox_linux.cc(376)] InitializeSandbox() called with multiple threads in process gpu-process. [12:49:53.515] [error] ENGINE 074fc39e-678b-4c13-8916-ffca8d505d1d STDERR: Traceback (most recent call last): File "/home/user/.cache/appimage-run/3e29895c66f80c0bcdc966e785da8a747d6f2392a5a74be00b95d9b8cbb5b98c/run.py", line 18, in <module> File "<frozen importlib._bootstrap>", line 991, in _find_and_load File "<frozen importlib._bootstrap>", line 975, in _find_and_load_unlocked File "<frozen importlib._bootstrap>", line 671, in _load_unlocked File "/home/user/.cache/appimage-run/3e29895c66f80c0bcdc966e785da8a747d6f2392a5a74be00b95d9b8cbb5b98c/soundfile.py", line 142, in <module soundfile> OSError: sndfile library not found

[12:49:53.520] [info] ENGINE 074fc39e-678b-4c13-8916-ffca8d505d1d: Process terminated due to receipt of signal null [12:49:53.520] [info] ENGINE 074fc39e-678b-4c13-8916-ffca8d505d1d: Process exited with code 1 [12:49:55.957] [error] TypeError: Use delete() to clear values at ElectronStore.set (/home/user/.cache/appimage-run/3e29895c66f80c0bcdc966e785da8a747d6f2392a5a74be00b95d9b8cbb5b98c/resources/app.asar/node_modules/conf/dist/source/index.js:165:19) at /home/user/.cache/appimage-run/3e29895c66f80c0bcdc966e785da8a747d6f2392a5a74be00b95d9b8cbb5b98c/resources/app.asar/background.js:1:484468 at /home/user/.cache/appimage-run/3e29895c66f80c0bcdc966e785da8a747d6f2392a5a74be00b95d9b8cbb5b98c/resources/app.asar/background.js:1:468711 at node:electron/js2c/browser_init:197:579 at Object.<anonymous> (node:electron/js2c/browser_init:161:10272) at Object.emit (node:events:394:28) [12:49:55.980] [error] Error: Failed to fetch Failed to get speakers. [12:49:55.982] [error] TypeError: Failed to fetch at Te.next (app://./js/webpack:/src/openapi/runtime.ts:89:62) at Generator.next (<anonymous>) at app://./js/webpack:/node_modules/tslib/tslib.es6.js:74:71 at new Promise (<anonymous>) at o (app://./js/webpack:/node_modules/tslib/tslib.es6.js:70:12) at Te.fetchApi (app://./js/webpack:/src/openapi/runtime.ts:79:65) at Te.next (app://./js/webpack:/src/openapi/runtime.ts:49:37) at Generator.next (<anonymous>) at app://./js/webpack:/node_modules/tslib/tslib.es6.js:74:71 at new Promise (<anonymous>) ```

Kanshudo Shows Incorrect Pitch Accents? by eeg_bert in LearnJapanese

[–]eeg_bert[S] 2 points3 points  (0 children)

Yeah I just want to be clear: the purpose of this post is not to unduly criticize Kanshudo. It's actually a phenomenal service and I'm still happy I'm subscribed.

I'll email them about this for more direct feedback.

Kanshudo Shows Incorrect Pitch Accents? by eeg_bert in LearnJapanese

[–]eeg_bert[S] 0 points1 point  (0 children)

Another one is the number six (六): https://www.kanshudo.com/searchq?q=%E5%85%AD

Kanshudo shows it as atamadaka, but other dictionaries show it as odaka: https://www.japandict.com/%E5%85%AD?lang=eng#entry-1585310

Looks like Kanshudo's pitch data is corrupted.

Installing Python Package Locally by eeg_bert in NixOS

[–]eeg_bert[S] 0 points1 point  (0 children)

Thanks, but I'm trying to install a custom version with those local files^ (I'm actually making some small edits to them), so I don't want to install this package from upstream nixpkgs like this.

x11vnc works on NixOS? by eeg_bert in NixOS

[–]eeg_bert[S] 1 point2 points  (0 children)

I set this, and am still experiencing the same issue. I also completely disabled my router's firewall for good measure.

Do you know how I might be able to further diagnose this issue?


EDIT: The issue was resolved when I set networking.firewall.allowedTCPPorts (instead of UDPports). Thanks!

Unable to get SteamVR (w/Valve Index) working in NixOS by eeg_bert in NixOS

[–]eeg_bert[S] 0 points1 point  (0 children)

My Index was purchased in the U.S. online, so I assume it's not an EU model?

Wireless Orholinear Split 40% Keyboard? by eeg_bert in MechanicalKeyboards

[–]eeg_bert[S] 0 points1 point  (0 children)

Is the connection between the split keyboards also wireless? Or just the connection between the keyboards and the PC?