psygnisfive

8 ms·

31.
by psygnisfive 11y ago
Another post in my series on parsing malformed input. I think of all the ways of doing this, this approach works best, especially because you can pre-compute a lot of it.
32.
Error Correcting Parser with Edit Distances(languagengine.co)
1 points by psygnisfive 11y ago|1 comments
33.
Extensible Serialization(languagengine.co)
7 points by psygnisfive 12y ago|0 comments
34.
Why Compute? A silly question that's not so easy to answer(languagengine.co)
8 points by psygnisfive 12y ago|0 comments
35.
by psygnisfive 12y ago
I wrote a blog post sort of explaining it all http://www.languagengine.co/blog/you-must-be-nuts/
36.
by psygnisfive 12y ago
The bulk of it will be in the cloud. Aside from letting me make improvements that then get reflected in all apps LE is embedded in without updates to them, it also lets developers add new vocabulary and conversation patterns that they misse
37.
by psygnisfive 12y ago
Speech processing is a secondary issue. Others are working on it, and it's basically a solved problem for the most part. I don't know about SQL's natural language support, so I won't comment. As for languages, the techno
38.
by psygnisfive 12y ago
Since most (all?) devices now have speech recognition built in, this'll plug into those easily. I'm also going to let developers plug their own in if they have better stuff than Google etc
39.
by psygnisfive 12y ago
I'm working to make it so that there's basically no real API for the vocabulary at all, you just use a little widget on the site to specify exactly the relevant functionality your app supports, and how the word realizes that, with
40.
by psygnisfive 12y ago
What? I don't know what you're talking about. ::whistles innocently:: Getting it to a state, even the minimal one, where it's ready for launch has taken slightly longer than expected. :( Right now I'm reworking the API a
41.
A Jarvis-like AI for your apps, drones, robots [video](languagengine.co)
62 points by psygnisfive 12y ago|16 comments
42.
Type Checking in JavaScript(languagengine.co)
3 points by psygnisfive 12y ago|0 comments
43.
NLP for AI Needs Structured Meaning(languagengine.co)
5 points by psygnisfive 12y ago|0 comments
44.
by psygnisfive 12y ago
yeah, people have suggested a variety of things. i'll add those to my list of static generators to investigate, thanks :)
45.
by psygnisfive 12y ago
I'm working on it, have no fear! I'm hand coding the blog right now because I don't want to use a CMS, I really don't like the options I have. I might just hand-code an RSS feed.
46.
by psygnisfive 12y ago
Actually this isn't true, wrt Chomsky. Chomskyan linguistics assumes statistics is very important (and this has been noted by Chomsky himself since at least the early 1960s). Chomsky simply argues that statistics is insufficient on its
47.
by psygnisfive 12y ago
It depends on the kind of dependency trees. I've seen plenty of semantic-y dependency trees and plenty of syntactic-y dependency trees. I'm not sure how common either really are ever, but on the semantics side, it's the best
48.
by psygnisfive 12y ago
I think they're saying tho that in one case "bread" means a kind of food, and in the other, it means money. If the different uses were more directly connected to particular words that could disambiguate, it wouldn't be t
49.
by psygnisfive 12y ago
Well let me know what sorts of things you have in mind, and what you can't find in other services! I'll see if there's something LE can do for you, or could do in the near future. I'm always in the irc channel (#language
50.
by psygnisfive 12y ago
Yep, I agree with what you say. Tho I would dispute calling a POS gloss much of a structure. When I think structure, I think full syntax. Parse + formal features. Or a full logical formula for the semantics! Now that's structure!
51.
by psygnisfive 12y ago
Well, if you'd like to know what I think we'll be doing in the future, check out the rest of the site. :p But: I'm building an SDK for conversational AI (think Siri, in any app, and 10 times better), that's what the site
52.
by psygnisfive 12y ago
It really depends on what you count as syntactic and semantic information. As a linguist, to me syntactic information is tree structures, syntactic categories, etc., and semantics is formulas in some (typically higher-order) logic. But for
53.
by psygnisfive 12y ago
I think it's going to be machine learning too, just over richer structures. And actually when you need parsing that's what you get together. But few people need real parsing right now. Some things, like meaning, will I think have
54.
by psygnisfive 12y ago
I try. :) I've written some related stuff on the blog there, if you want more (most of it I've linked here on HN?) I'm gonna try to write more often, so hopefully I'll keep giving you interesting reads! :)
55.
by psygnisfive 12y ago
Yep, it's certainly true that these techniques never went away fully, but they've been eclipsed by the simpler techniques. Academic work, especially under the guise of "computational linguistics" as opposed to "NLP&
56.
by psygnisfive 12y ago
to find out which 42, we'll need to build a computer the size of a planet
57.
by psygnisfive 12y ago
awesome! what sorts of things does NetBase do with old school NLP?
58.
What Happened to Old School NLP?(languagengine.co)
91 points by psygnisfive 12y ago|47 comments
59.
The Conversational AI Problem Landscape(languagengine.co)
7 points by psygnisfive 12y ago|0 comments
60.
Deep Learning Won't Cure the Language Cold(languagengine.co)
3 points by psygnisfive 12y ago|0 comments

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