OpenCog Brainwave

Posts Tagged ‘link-grammar

Frequency of grammatical disjuncts

Posted by: linasv on: 2009-07-06

The link-grammar parser uses labeled links to connect together pairs of words.  In order to capture the idea of proper grammatical construction, any given word is only allowed to have very specific links to its right or left: for example, verbs have their subject on the left, and an object on the right.  Link-grammar defines [...]

proto-chatbot at last!

Posted by: linasv on: 2009-04-28

A prototype chatbot demonstrates the OpenCog NLP pipeline by parsing simple statements and answering simple questions.

Determining word senses from grammatical usage

Posted by: linasv on: 2009-01-12

I’ve recently been tinkering with a mechanism for determining word senses based on their grammatical usage.  This has me pretty excited, because, so far, it seems to be reasonably accurate (i.e. not terrible), and lightning-fast.  I’m doing this by doing some heavy statistical NLP work, computing statistical correlations between word senses and syntax — specifically, [...]

Hacking on Link-Grammar

Posted by: linasv on: 2008-08-17

I hack, heads-down, on link-grammar every now and then. Yesterday, I fixed another round of broken parse rules: making sure that sentences like “John is altogether amazingly quick.” “That one is marginally better” “I am done working” “I asked Jim a question” “I was told that crap, too” all parse correctly.
Solving these required adding new [...]


About

OpenCog is software for the collaborative development of safe and beneficial Artificial General Intelligence.

The Brainwave blog tracks OpenCog development.

  • jasonforceau: 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-Gr
  • linasv: These graphs were discussed on the corpora mailing list in March 2009. See http://mailman.uib.no/public/corpora/2009-March/008193.html and followups i
  • linasv: Martin Reynaert wrote to say: ''From what I have learned from the work of mainly Ramon Ferrer i Cancho ( http://www.lsi.upc.edu/~rferrericancho/p