thesoonerdev

So these limitations are only in Google App Engine? Is there a reason people choose to use the App Engine then?

By far, the most common complaints I have heard when researching about GCP online are the following: 1) You cannot use SQL in the same way other platforms allow you 2) Only a subset of language features are supported for Java and Python and it is a little hard to know when you will run into that issue 3) As a combination of 1 and 2, it is not easy to migrate out of GCP and this makes it a kind of vendor lock in.

While many people seem to agree that the platform itself works very well, if you are developing on GCP, free credits or not, doesn't this mean you are knowingly getting into a platform that will be hard to leave?

Can someone who has worked with GCP address if these concerns are still ongoing? Also, are there some positives which are not easy to see from the outside which might have helped you choose them/stick with them?

I created a note-taker app for videos but never had the time to make it into something more useful. They are not transcripts, of course, because those would take a whole lot longer to create. It is hosted on GitHub pages for now.

http://www.videojots.com

Just curious - and I am asking anyone here who feels similarly, if someone created a list of these "notes" for a given channel on YouTube, would you be more likely to sit through the videos?

The fee for the certification is around $100, which was said to be the filter which prevented frivolous apps from being submitted to the App store. Shouldn't that help?

Spacy's website looks good. Thanks for the heads up.

Fair enough. My concern is whether the practitioners of NLP are aware of this perception - and it seems like they are.

If you clicked through to the two links from laretluval and brudgers, you can see why natural language processing as a field is struggling to gain quick adoption (in proportion to well understood concepts). Look at laretluval's links: The people who are doing the hardcore research are doing a really poor job of explaining what exactly they are trying to accomplish. Can a programmer who is good at programming but not familiar with computer science concepts actually figure out what exactly tregex does, even after reading the page a few times? Do you seriously expect someone to download a PPT file (yes, ppt, not a pdf) to understand the basics?

Contrast that with brudgers link - it is actually a readable summary even though I personally think the person who posted that blog entry still needs to learn more concepts in NLP/English grammar/hierarchical data structures to scale the project - all his examples are active voice - using regex will fail as the sentence becomes more run on like the one you are currently reading - hand crafting rules for English grammar is actually super hard because even trained linguists sometimes disagree on the parse tree produced by fairly short sentences (I think I learnt that from watching a YouTube video by Chris Manning, unfortunately I don't have the reference right now)

I don't understand how the NLP community seems so oblivious to this issue.

Does it mean, then, that as the people who are anti-immigration such as Donald Trump get elected and geographic mobility (potentially) decreases, we can work our way backwards and say that these languages are less likely to die? In other words, does the trend towards anti-globalization lead to the unexpected side effect that some languages may actually take longer to die?

The existing HackerNewsCollapse extension mentioned in the other comment already does this. I built a Chrome extension which extends this further by also trying to summarize the comment thread based on word frequency of entire subtree (with mixed results)

https://chrome.google.com/webstore/detail/hngist/jigimhmnilg...

It also tries to come up with a summary sentence, but I need to do better sentence splitting.

I don't think these extensions work on Google Chrome for mobile though..

I am a little surprised no one answered this.

The field of memory training has a system (called the major system) for converting arbitrary numbers into words by assigning distinct sounds to the 9 digits - 0 is s, 1 is t(d), 2 is n and so on.

For example, 95 would be p + l sound - say a pillow. Try to visualize a giant pillow (have something exaggerated and preferably silly) on that spot.

SkimHN is a desktop application to skim hacker news articles and decide if you want to read an article fully

https://github.com/mcaravind/HackerNewsSummary

It even has a cheesy 'Time saved' feature to help you see how much time you might have saved by not reading the full comment thread :-) Not sure how useful it actually is, but it was a lot of fun to develop. I used C#, edge.js, ideas from natural language processing, tree algorithms etc.

Unfortunately it only works on Win 64 right now (although I built it with node-webkit so making it cross platform desktop app should be feasible in the future)

I made an app which uses the idea of spaced repetition to help you memorize flags. I was really amazed when I learned about this system a while back, and made this app to help my niece learn some interesting stuff. My app is really rudimentary and buggy, but I believe we are soon going to be seeing plenty of apps which incorporate these kind of ideas and really help us hack our learning process.

http://www.amazon.com/Touched-By-Designs-Flags-30DMC/dp/B00I...

Indeed. Maybe someone just decided to take the most provocative pieces of the book and stitch together an article, and used a data driven HN-baity headline generator program? :-)

RIP and RTT? Why am I not surprised that you developed a product called WonderProxy? :-)

Can I add videos from Vimeo? I love the Microconf videos on Vimeo, quite suited for the HN audience I would think. http://vimeo.com/search?q=microconf The AMA by Peldi Guilizzoni (Balsamiq) is an excellent one.