Year: 2018
Type: conference-paper
Abstract: In this paper, we introduce MADARi, a joint morphological annotation and spelling correction system for texts in Standard and Dialectal Arabic.The MADARi framework provides intuitive interfaces for annotating text and managing the annotation process of a large number of sizable documents.Morphological annotation includes indicating, for a word, in context, its baseword, clitics, part-of-speech, lemma, gloss, and dialect identification.MADARi has a suite of utilities to help with annotator productivity.For example, annotators are provided with pre-computed analyses to assist them in their task and reduce the amount of work needed to complete it.MADARi also allows annotators to query a morphological analyzer for a list of possible analyses in multiple dialects or look up previously submitted analyses.The MADARi management interface enables a lead annotator to easily manage and organize the whole annotation process remotely and concurrently.We describe the motivation, design and implementation of this interface; and we present details from a user study working with this system.
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W2807331087