This is an automated email from the ASF dual-hosted git repository.
sergeykamov pushed a commit to branch NLPCRAFT-513
in repository https://gitbox.apache.org/repos/asf/incubator-nlpcraft-website.git
The following commit(s) were added to refs/heads/NLPCRAFT-513 by this push:
new 3fd637a WIP.
3fd637a is described below
commit 3fd637a5fcb01a3949481795073df273abeb01c0
Author: skhdl <[email protected]>
AuthorDate: Tue Nov 1 19:23:46 2022 +0400
WIP.
---
built-in-overview.html | 20 ++++++++------------
built-in-token-parser.html | 6 +++---
2 files changed, 11 insertions(+), 15 deletions(-)
diff --git a/built-in-overview.html b/built-in-overview.html
index e205a12..8eebc84 100644
--- a/built-in-overview.html
+++ b/built-in-overview.html
@@ -35,22 +35,18 @@ id: built-in-overview
<ul>
<li>
Pipeline components
- <code>token parser</code>,
- <code>token enricher</code> and
- <code>entity parser</code>
- have built-in implementations and can have broad range of uses.
- Built-in implementations of them are described in related
sections:
<a href="/built-in-token-parser.html">Token Parsers</a>,
- <a href="/built-in-token-enricher.html">Token Enrichers</a>,
- <a href="/built-in-entity-parser.html">Entity Parsers</a>.
+ <a href="/built-in-token-enricher.html">Token Enrichers</a> and
+ <a href="/built-in-entity-parser.html">Entity Parsers</a>
+ have built-in implementations and can have broad range of uses.
</li>
<li>
Other pipeline components:
- <code>token validator</code>,
- <code>entity enricher</code>,
- <code>entity mapper</code>,
- <code>entity validator</code> and
- <code>variant filter</code>
+ <code>Token Validators</code>,
+ <code>Entity Enrichers</code>,
+ <code>Entity Mappers</code>,
+ <code>Entity Validators</code> and
+ <code>Variant Filters</code>
can't have built-in implementations
because their logic are depended on concrete user model.
</li>
diff --git a/built-in-token-parser.html b/built-in-token-parser.html
index 0f1eb27..cb684dc 100644
--- a/built-in-token-parser.html
+++ b/built-in-token-parser.html
@@ -29,9 +29,9 @@ id: built-in-token-parser
{% scaladoc NCTokenParser NCTokenParser %}
component implementation should parse user input plain text and
split this text
into <code>tokens</code> list.
-
- NLPCraft provides two English language token parser
implementations.
-
+ NLPCraft provides two English language token parser
implementations:
+ <a href="#parser-opennlp">Apache OpenNLP Based Parser</a> and
+ <a href="#parser-stanford">Stanford NLP Based Parser</a>.
Also, project contains examples for <a
href="examples/light_switch_fr.html">French</a> and
<a href="examples/light_switch_ru.html">Russia</a> languages token
parser implementations.
</p>