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.

提出一个新的基于 Docker 的框架来简化并加速自然语言处理的流程，其中包括一个通用的数据模型和 API 描述以及图形用户界面，并以此实现了 ANGLEr 自然语言处理框架。