Motivated by recent findings on the probabilistic modeling of acceptability judgments, we
propose syntactic log-odds ratio (SLOR), a normalized language model score, as a metric …

Modern OCR engines incorporate some form of error correction, typically based on
dictionaries. However, there are still residual errors that decrease performance of natural …

Automatic detection of sentence errors is an important NLP task and is valuable to assist
foreign language learners. In this paper, we investigate the problem of word ordering errors …

Many problems in natural language processing, data mining, information retrieval, and
bioinformatics can be formalized as string transformation, which is a task as follows. Given …

Este artículo describe el funcionamiento de un algoritmo de corrección ortográfica y
gramatical para textos escritos en español, destinado a hablantes nativos competentes que …

Automated grammatical error correction for language learners has attracted a lot of attention
in recent years, especially after a number of shared tasks that have encouraged research in …

The Internet has emerged as a pivotal medium for human interaction, leading to profound
transformations in language dynamics, especially in computer-mediated communication …

The Internet has emerged as a pivotal medium for human interaction, leading to profound
transformations in language dynamics, especially in computer-mediated communication …

This paper describes the performance of an algorithm of spelling and grammar checker for
texts written in Spanish by proficient native speakers during proof-reading. Possible …

Data analysis is a crucial process in the field of data science that extracts useful information
from any form of data. The ease of access and maintenance makes structured data the most …