ANGLEr: A Next-Generation Natural Language Exploratory Framework

TL;DR

ANGLEr is a user-friendly, graphical framework designed for building and testing natural language processing pipelines without programming, featuring a modular, Docker-based architecture and language-agnostic module integration.

Contribution

It introduces a new NLP framework with a pluggable, Docker-based architecture and language-agnostic module addition, addressing limitations of existing tools.

Findings

Provides a simple graphical interface for NLP pipeline design

Supports language-agnostic module integration

Uses a modular, Docker-based architecture

Abstract

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.