Work

Manually Annotated Spelling Error Corpus for Amharic

Year: 2021

Type: preprint

Abstract: This paper presents a manually annotated spelling error corpus for Amharic, lingua franca in Ethiopia. The corpus is designed to be used for the evaluation of spelling error detection and correction. The misspellings are tagged as non-word and real-word errors. In addition, the contextual information available in the corpus makes it useful in dealing with both types of spelling errors.

Source: arXiv (Cornell University)

DOI: 10.48550/arxiv.2106.13521

Authors: Gezmu, Andargachew Mekonnen, Lema, Tirufat Tesifaye, Seyoum, Binyam Ephrem, Nürnberger, Andreas

Institutions: Otto-von-Guericke-Universität Magdeburg, Hawassa University, Addis Ababa University

Language: English

Topic: Natural Language Processing Techniques

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W3176489608

Cites: 9

Cited by: 1

Related to: 20