WASA: A Web Application for Sequence Annotation

TL;DR

WASA is a web-based system designed for efficient, large-scale multilingual code-switching data annotation, supporting concurrent work, multiple encodings, and quality control, with integrated preprocessing tools.

Contribution

This paper introduces WASA, a novel web application that manages large-scale multilingual code-switching annotation with enhanced efficiency, concurrency, and quality control features.

Findings

Supports concurrent annotation and multiple encodings

Integrates language-specific preprocessing for speed

Provides detailed annotation statistics and management tools

Abstract

Data annotation is an important and necessary task for all NLP applications. Designing and implementing a web-based application that enables many annotators to annotate and enter their input into one central database is not a trivial task. These kinds of web-based applications require a consistent and robust backup for the underlying database and support to enhance the efficiency and speed of the annotation. Also, they need to ensure that the annotations are stored with a minimal amount of redundancy in order to take advantage of the available resources(e.g, storage space). In this paper, we introduce WASA, a web-based annotation system for managing large-scale multilingual Code Switching (CS) data annotation. Although WASA has the ability to perform the annotation for any token sequence with arbitrary tag sets, we will focus on how WASA is used for CS annotation. The system supports concurrent annotation, handles multiple encodings, allows for several levels of management control, and enables quality control measures while seamlessly reporting annotation statistics from various perspectives and at different levels of granularity. Moreover, the system is integrated with a robust language specific date prepossessing tool to enhance the speed and efficiency of the annotation. We describe the annotation and the administration interfaces as well as the backend engine.