+1
Receiving Scala contributions should be fine too, but it we then should
make it
usable for Java applications.
Jörn
On 06/23/2014 10:44 PM, Chen, Pei wrote:
If it looks promising, we can probably approach the developers to see if they
would be interesting in porting over the entire code.
ailto:kottm...@gmail.com]
> Sent: Monday, June 23, 2014 8:09 AM
> To: dev@opennlp.apache.org
> Subject: Re: interest in new parser?
>
> +1, it would be possible to include different styles and
> implementations of parsers in OpenNLP.
>
> Jörn
>
> On 06/23/2014
+1, it would be possible to include different styles and
implementations of parsers in OpenNLP.
Jörn
On 06/23/2014 01:12 PM, Rodrigo Agerri wrote:
Hello,
Ratnapharki's (1999) is a shift-reduced parser. Others like Stanford
NLP are now releasing shift-reduced parsers. There are differences
betw
Hello,
Ratnapharki's (1999) is a shift-reduced parser. Others like Stanford
NLP are now releasing shift-reduced parsers. There are differences
between them, though. For example, Zhang and Clark (2009)'s parser
(cited by Stanford's new parser) is similar except that they use a
global discriminative
Some time ago I asked the mstparser developers if they would consider
contributing the parser to OpenNLP. They said that mstparser isn't
up-to-date anymore since better parsers are now available, but in
principle didn't reject the idea.
If OpenNLP was interested in adopting the mstparser, that mig
On 06/19/2014 06:00 PM, Miller, Timothy wrote:
There is a paper at this year's ACL conference on a statistical parser
with some interesting properties [1]. I tracked down the software [2]
and it is apache-licensed (unlike most other high quality parsers such
as the Berkeley and Stanford parsers).
There is a paper at this year's ACL conference on a statistical parser
with some interesting properties [1]. I tracked down the software [2]
and it is apache-licensed (unlike most other high quality parsers such
as the Berkeley and Stanford parsers). It is written in Scala so in
theory it should be
