Results 41 to 50 of about 2,197,203 (280)
GenERRate: generating errors for use in grammatical error detection [PDF]
This paper explores the issue of automatically generated ungrammatical data and its use in error detection, with a focus on the task of classifying a sentence as grammatical or ungrammatical.
Foster, Jennifer, Andersen, Øistein E.
core +2 more sources
A machine learning model for correcting errors in Ukrainian texts has been developed. It was established that the neural network has the ability to correct simple sentences written in Ukrainian; however, the development of a full-fledged system requires ...
Vasyl Lytvyn +4 more
doaj +1 more source
Automatic Annotation and Evaluation of Error Types for Grammatical Error Correction [PDF]
Until now, error type performance for Grammatical Error Correction (GEC) systems could only be measured in terms of recall because system output is not annotated. To overcome this problem, we introduce ERRANT, a grammatical ERRor ANnotation Toolkit designed to automatically extract edits from parallel original and corrected sentences and classify them ...
Christopher Bryant 0001 +2 more
openaire +2 more sources
Research progress on Chinese and English text error correction [PDF]
Text error correction is an essential task in natural language processing (NLP) that focuses on automatically identifying and correcting errors in written text. With the increasing amount of digital text in both Chinese and English, errors such as typos,
Wang Yao
doaj +1 more source
EliaGorokhovsky/Time-Error-Correction-MATLAB: v1.0.0
Added code, data, and figures. Full Changelog: https://github.com/EliaGorokhovsky/Time-Error-Correction-MATLAB/commits/v1.0.
Elia Gorokhovsky
core +1 more source
Nonlinear error correction, asymmetric adjusment and cointegration [PDF]
This paper has three main components. First, it outlines a model of nonlinear error correction (NEC) in which the linear error correction term a'Xt (the vector time series Xt is cointegrated, a is the cointegrating vector) is replaced by the nonlinear ...
Pfann, Gerard, Escribano, Álvaro
core +1 more source
Czech Grammar Error Correction with a Large and Diverse Corpus
We introduce a large and diverse Czech corpus annotated for grammatical error correction (GEC) with the aim to contribute to the still scarce data resources in this domain for languages other than English.
Jakub Náplava +3 more
doaj +1 more source
Extending Quantum Error Correction: New Continuous Measurement Protocols and Improved Fault-Tolerant Overhead [PDF]
Quantum mechanical applications range from quantum computers to quantum key distribution to teleportation. In these applications, quantum error correction is extremely important for protecting quantum states against decoherence.
Ahn, Charlene Sonja
core +1 more source
A Crash Course in Automatic Grammatical Error Correction [PDF]
Grammatical Error Correction (GEC) is the task of automatically detecting and correcting all types of errors in written text. Although most research has focused on correcting errors in the context of English as a Second Language (ESL), GEC can also be applied to other languages and native text.
Roman Grundkiewicz +2 more
openaire +1 more source
Erroneous data generation for Grammatical Error Correction [PDF]
It has been demonstrated that the utilization of a monolingual corpus in neural Grammatical Error Correction (GEC) systems can significantly improve the system performance. The previous state-of-the-art neural GEC system is an ensemble of four Transformer models pretrained on a large amount of Wikipedia Edits. The Singsound GEC system follows a similar
Shuyao Xu +3 more
openaire +2 more sources

