diasks2

Live Kaiwa (https://livekaiwa.com/) — A real-time Japanese conversation assistant. It listens, transcribes, translates, and suggests responses so you can follow along in conversations you'd otherwise get lost in. I built it because I live in Japan and needed something for the situations where missing a nuance actually matters — PTA meetings, bank appointments, neighborhood councils.

1. Live Kaiwa — real-time Japanese conversation support

I live in a rural farming neighborhood in Japan. Day-to-day Japanese is fine for me, but neighborhood meetings were a completely different level. Fast speech, local dialect, references to people and events from decades ago. I'd leave feeling like I understood maybe 5% of what happened.

So I built a tool for myself to help follow those conversations.

Live Kaiwa transcribes Japanese speech in real time and gives English translations, summaries, and suggested responses while the conversation is happening.

Some technical details:

* Browser microphone streams audio via WebRTC to a server with Kotoba Whisper * Multi-pass transcription: quick first pass, then higher-accuracy re-transcription that replaces earlier text * Each batch of transcript is sent to an LLM that generates translations, summary bullets, and response suggestions * Everything is streamed back to the UI live * Session data stays entirely in the browser — nothing stored server-side

https://livekaiwa.com

---

2. Cooperation Cube — a board game that rotates the playing field

Years ago I built a physical board game where players place sticks into a wooden cube to complete patterns on the faces.

The twist: the cube rotates 90° every round, so patterns you're building suddenly become part of someone else's board. It creates a mix of strategy, memory, and semi-cooperative play.

I recently built a digital version.

Game mechanics:

* 4 players drafting cards and placing colored sticks on cube faces * The cube rotates every 4 actions * Players must remember what exists on other faces * Cooperation cards allow two players to coordinate for shared bonuses * Game ends when someone runs out of short sticks

https://cooperationcube.com

---

Both projects mostly started as things I wanted to exist for myself. Curious what people think.

It was what prompted him to ask about this game.

I found the apk file and I played around with Android Studio today but was having trouble getting the Nexus device with KittyKat or Lollipop to not crash when trying to open the device. Will keep trying different options.

Ambiki is a web application for pediatric speech, occupational, and physical therapists which will be launching later this month. The product has been incubated and built alongside therapists for 3 years at a private practice in Tennessee. Ambiki touches on almost everything including teletherapy, billing, scheduling, tracking patient outcomes, as well as providing resources/tools for therapists to use in their treatment sessions.

Send your CV (PDF) and a short cover letter (PDF) to info@ambiki.com. In your cover letter please answer: What interests you about working on Ambiki?

We give schools and patients access to the therapies and resources they need to improve their communication and overall quality of life. Our experienced team is made up of 100+ specialized therapists in Speech, Occupational and Physical Therapy. Our development team is currently 3 full-time employees.

https://weworkremotely.com/remote-jobs/sidekick-therapy-part...

1) Most segmentation research papers are done by Universities which have access to the Penn Treebank data (WSJ and Brown corpus). However, the cost of that data is $1,700 https://catalog.ldc.upenn.edu/LDC99T42

2) The Brown corpus is available for free in NLTK (http://www.nltk.org/nltk_data/). However it is the tagged corpus. I've contacted the researchers for all of the top segmentation libraries but never received an answer to any of the following questions:

a) I’m assuming you preprocessed the text by removing the tags. Is this correct? Or did you use the untagged version, and if so do you have a link to that as I only found the tagged version in the NLTK data?

b) When removing the tags did you also remove each carriage return and newline so the text was one long string, each sentence separated by just one whitespace?

c) The download contains 100+ files. Did you analyze each individually? Or did you create one combined file? If you created a combined file how did you space each individual file within the larger file? Also, if you combined them what order did you combine them in?

So sure, all of these papers use the same data, but we have no idea if they are actually using that data in the same way, as none of the papers actually release their code and tests, or tell the steps they used to preprocess the corpus.

To test more broad coverage on my library I added the full text of Alice in Wonderland https://github.com/diasks2/pragmatic_segmenter/blob/master/s.... A grad student from Stanford offered to test my library on the WSJ corpus a few months ago which was very kind, but I'm still waiting to hear back on that.

I think this blog post almost hits on the key in the middle - in my opinion it is important to test (all of) the edge cases. The problem with most corpora typically used to test segmenters is that 80-90% of the sentences are the same (i.e. a regular sentence ending in a period). Thus if a segmenter just simply split the sentence at every period it would still show a 80-90% accuracy rate. This is why I am trying to develop a standardized set of edge cases: https://github.com/diasks2/pragmatic_segmenter#the-golden-ru...

Maybe a better title would be "Was there an earthquake near me?" and you could show nearby earthquakes in the past hour, day, etc. However, there are already a lot of sites that do something like that such as http://earthquake.usgs.gov/earthquakes/index.php, so I'm not quite sure what additional value you could add.

Additionally, it seems that as the graph spreads to the right it disappears outside of the div and I can't find any way to click or scroll to keep following it horizontally.

I haven't had a chance to dig too deeply into it yet, but is the info stored in a session cookie and then you can decide if/when to write it to the db? For example, if I didn't want to write every unique visit to the db, but only when a user signs up, or signs in, or takes some action x, do I have the flexibility of when I write to the db?

Free video chat using WebRTC for teachers/students doing online English lessons. You can click on a chat bubble and correct your partner's English. The app then automatically color codes and annotates the mistakes. The app will also track your mistakes (by type) over time.