Comments on: Hacking on Link-Grammar http://blog.opencog.org/2008/08/17/hacking-on-link-grammar/ The latest developments in building an open-source mind Thu, 02 Feb 2012 12:56:00 +0000 hourly 1 http://wordpress.org/?v=3.0.1 By: Web Hosting Providers http://blog.opencog.org/2008/08/17/hacking-on-link-grammar/#comment-84 Web Hosting Providers Thu, 02 Feb 2012 12:56:00 +0000 http://opencog.wordpress.com/?p=41#comment-84 This is what I have been searching in many websites and I finally found it here. Amazing article. I am so impressed. Could never think of such a thing is possible with it...I think you have a great  knowledge especially while dealings with such subjects. This is what I have been searching in many websites and I finally found it here. Amazing article. I am so impressed. Could never think of such a thing is possible with it…I think you have a great  knowledge especially while dealings with such subjects.

]]> By: jasonforceau http://blog.opencog.org/2008/08/17/hacking-on-link-grammar/#comment-4 jasonforceau Thu, 08 Oct 2009 16:10:00 +0000 http://opencog.wordpress.com/?p=41#comment-4 Hi, i am looking for tools for syntactic analysis for the system of my Final Year Project and found your post so interesting. But I don't know Link-Grammar. And how can I start up to using Link-Grammar to apply into my system? is it using c language? anyother language? Hi, i am looking for tools for syntactic analysis for the system of my Final Year Project and found your post so interesting. But I don’t know Link-Grammar. And how can I start up to using Link-Grammar to apply into my system? is it using c language? anyother language?

]]> By: jasonforceau http://blog.opencog.org/2008/08/17/hacking-on-link-grammar/#comment-43 jasonforceau Thu, 08 Oct 2009 16:10:00 +0000 http://opencog.wordpress.com/?p=41#comment-43 Hi, i am looking for tools for syntactic analysis for the system of my Final Year Project and found your post so interesting. But I don't know Link-Grammar. And how can I start up to using Link-Grammar to apply into my system? is it using c language? anyother language? Hi, i am looking for tools for syntactic analysis for the system of my Final Year Project and found your post so interesting. But I don’t know Link-Grammar. And how can I start up to using Link-Grammar to apply into my system? is it using c language? anyother language?

]]> By: linasv http://blog.opencog.org/2008/08/17/hacking-on-link-grammar/#comment-3 linasv Mon, 29 Sep 2008 19:58:12 +0000 http://opencog.wordpress.com/?p=41#comment-3 As of early summer, relEx has had the so-called "compact file format", and a bunch of text has been parsed: the entire simple-english wikipedia, a voice-of-america corpus, about 8 project gutenberg books (including war and peace) and decent chunk of the english wikipedia (parsing all of wikipedia will require about 10 cpu-years). These pre-parsed texts are available at http://relex.swlabs.org/~linas/ and a statistical package tailored to this is at https://launchpad.net/relex-statistical. As of early summer, relEx has had the so-called “compact file format”, and a bunch of text has been parsed: the entire simple-english wikipedia, a voice-of-america corpus, about 8 project gutenberg books (including war and peace) and decent chunk of the english wikipedia (parsing all of wikipedia will require about 10 cpu-years).

These pre-parsed texts are available at

http://relex.swlabs.org/~linas/

and a statistical package tailored to this is at

https://launchpad.net/relex-statistical.

]]> By: linasv http://blog.opencog.org/2008/08/17/hacking-on-link-grammar/#comment-42 linasv Mon, 29 Sep 2008 19:58:00 +0000 http://opencog.wordpress.com/?p=41#comment-42 As of early summer, relEx has had the so-called "compact file format", and a bunch of text has been parsed: the entire simple-english wikipedia, a voice-of-america corpus, about 8 project gutenberg books (including war and peace) and decent chunk of the english wikipedia (parsing all of wikipedia will require about 10 cpu-years). These pre-parsed texts are available at http://relex.swlabs.org/~linas/ and a statistical package tailored to this is at https://launchpad.net/relex-statistical. As of early summer, relEx has had the so-called “compact file format”, and a bunch of text has been parsed: the entire simple-english wikipedia, a voice-of-america corpus, about 8 project gutenberg books (including war and peace) and decent chunk of the english wikipedia (parsing all of wikipedia will require about 10 cpu-years).

These pre-parsed texts are available at

http://relex.swlabs.org/~linas/

and a statistical package tailored to this is at

https://launchpad.net/relex-statistical.

]]> By: jrowe47 http://blog.opencog.org/2008/08/17/hacking-on-link-grammar/#comment-2 jrowe47 Sat, 27 Sep 2008 20:46:54 +0000 http://opencog.wordpress.com/?p=41#comment-2 One idea that might speed things up would be to parse a crapload of arbitrary sentences (say, a book or ten) into grammatical units, so that you can see a general collection of valid sentences. You could also see general meta-relationships between sentence structures (the points where contextual data matter, and the points where grammar itself is providing a context.) Training a neural net to recognize and tag parts of sentences as related to their link-grammar categorization would also allow general assumptions to be made about content grammar relationships, and might give a jump up on hand-crafting more link-grammar entries. Eventually, a well trained neural net could easily tag arbitrary grammar/data/context relationships. One idea that might speed things up would be to parse a crapload of arbitrary sentences (say, a book or ten) into grammatical units, so that you can see a general collection of valid sentences. You could also see general meta-relationships between sentence structures (the points where contextual data matter, and the points where grammar itself is providing a context.)

Training a neural net to recognize and tag parts of sentences as related to their link-grammar categorization would also allow general assumptions to be made about content grammar relationships, and might give a jump up on hand-crafting more link-grammar entries. Eventually, a well trained neural net could easily tag arbitrary grammar/data/context relationships.

]]> By: jrowe47 http://blog.opencog.org/2008/08/17/hacking-on-link-grammar/#comment-41 jrowe47 Sat, 27 Sep 2008 20:46:00 +0000 http://opencog.wordpress.com/?p=41#comment-41 One idea that might speed things up would be to parse a crapload of arbitrary sentences (say, a book or ten) into grammatical units, so that you can see a general collection of valid sentences. You could also see general meta-relationships between sentence structures (the points where contextual data matter, and the points where grammar itself is providing a context.) Training a neural net to recognize and tag parts of sentences as related to their link-grammar categorization would also allow general assumptions to be made about content grammar relationships, and might give a jump up on hand-crafting more link-grammar entries. Eventually, a well trained neural net could easily tag arbitrary grammar/data/context relationships. One idea that might speed things up would be to parse a crapload of arbitrary sentences (say, a book or ten) into grammatical units, so that you can see a general collection of valid sentences. You could also see general meta-relationships between sentence structures (the points where contextual data matter, and the points where grammar itself is providing a context.)

Training a neural net to recognize and tag parts of sentences as related to their link-grammar categorization would also allow general assumptions to be made about content grammar relationships, and might give a jump up on hand-crafting more link-grammar entries. Eventually, a well trained neural net could easily tag arbitrary grammar/data/context relationships.

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