ANGLEr: A Next-Generation Natural Language Exploratory Framework
This addresses the need for accessible NLP tools for scholars and interest groups without programming skills, but it is incremental as it builds on existing framework concepts.
The authors tackled the problem of enabling non-programmers to design and test natural language processing pipelines by proposing ANGLEr, a new graphical framework with a pluggable Docker-based architecture and a general data model.
Natural language processing is used for solving a wide variety of problems. Some scholars and interest groups working with language resources are not well versed in programming, so there is a need for a good graphical framework that allows users to quickly design and test natural language processing pipelines without the need for programming. The existing frameworks do not satisfy all the requirements for such a tool. We, therefore, propose a new framework that provides a simple way for its users to build language processing pipelines. It also allows a simple programming language agnostic way for adding new modules, which will help the adoption by natural language processing developers and researchers. The main parts of the proposed framework consist of (a) a pluggable Docker-based architecture, (b) a general data model, and (c) APIs description along with the graphical user interface. The proposed design is being used for implementation of a new natural language processing framework, called ANGLEr.