Abstract HFST–Helsinki Finite-State Technology (hfst. sf. net) is a framework for compiling
and applying linguistic descriptions with finite-state methods. HFST currently connects some …

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 …

The following claims can be made about finite-state methods for spell-checking: 1) Finite-
state language models provide support for morphologically complex languages that word …

We present a novel language adaptable spell checking system that detects spelling errors
and suggests context-sensitive corrections in real-time. We show that our system can be …

Context As the COVID-19 pandemic persists around the world, the scientific community
continues to produce and circulate knowledge on the deadly disease at an unprecedented …

This paper presents a novel approach to spell checking using dictionary clustering. The
main goal is to reduce the number of times distances have to be calculated when finding …

In this thesis, we describe the development of several natural language processing tools
and resources for the Andean language Cuzco Quechua as part of the SQUOIA project at …

The paper presents and evaluates various NLP tools that have been created using the open
source library HFST–Helsinki Finite-State Technology and outlines the minimal extensions …

Owing to the growing need of acquiring medical data from clinical records, processing such
documents is an important topic in natural language processing (NLP). However, for general …

In our paper, we present a method for automated correction of spelling errors in Hungarian
clinical records. We model the problem of spelling correction as a translation task, where the …