Proving grounds for smart text mining in Natural
This project defines the Words language, an Xtext Dsl for processing free form text
into semantic groups and tokens.
The primary goals of this library is to implement a few common patterns that will be
useful in furthering the advancement of the Cucumber and Jbehave languages defined
by Natural. Primarily, it will provide improved localization and autocompletion of
special word groups. Once this has been accomplished, the project inception process
will begin in order to discover further potential text mining capabilities.
These are subject to change to until the first demo release, but the current feature set being worked on is as follows.
-
Provide some common patterns to match:
- Sections with
Keyword: And a title - Blocks of mostly free-form multi-line text
- Single lines of text that start with a specific word or group of words
- Symbolic word(s) in text such as
<keyword>,"String of text", or-9.8m/s
- Sections with
-
Define a set of semantic unicode character ranges that can be in terminals
This is a work in progress and subject to frequent change.
