Automatic spelling correction has been receiving sustained research attention. Although
each article contains a brief introduction to the topic, there is a lack of work that would …

Traditional error correction solutions leverage handmaid rules or master data to find the
correct values. Both are often amiss in real-world scenarios. Therefore, it is desirable to …

Human civilizations have performed the art of writing across continents and over different
time periods. In order to speed up the writing process, the art of shorthand (brachygraphy) …

The increasing portability of physical manuscripts to the digital environment makes it
common for systems to offer automatic mechanisms for offline Handwritten Text Recognition …

Sequence alignment remains a fundamental problem with practical applications ranging
from pattern recognition to computational biology. Traditional algorithms based on dynamic …

Text normalization is an indispensable stage in processing noncanonical language from
natural sources, such as speech, social media or short text messages. Research in this field …

This demonstration presents a freely available open source lexical database omorfi. Omorfi
is a mature lexicographical database project, started out as a single-person single-purpose …

We investigate both rule-based and machine learning methods for the task of compound
error correction and evaluate their efficiency for North Sámi, a low resource language. The …

This article describes the development of morphological analyser for Paraguayan Guaraní,
agglutinative indigenous language spoken by nearly 6 million people in South America. The …

We consider the isolated spelling error correction problem as a specific subproblem of the
more general string-to-string translation problem. In this context, we investigate four general …