نتایج جستجو برای: text correction

تعداد نتایج: 328701  

2013
John N. Howell Karen S. Cabell Anthony G. Chila David C. Eland Lawrence H. Jones

Full Text (PDF) Alert me when this article is cited Alert me if a correction is posted Citation Map

2015

single faults in a data word, they cannot correct double bit errors caused by single the single error correction and double-error detection codes to provide. Official Full-Text Publication: Double Bits Error Correction Using CRC Method on that is able to detect the exact place of double bits error and correct them. for double and single bits error correction using Cycle Redundancy Code. a Singl...

2006
Caroline Sporleder Marieke van Erp

We present a novel data-driven approach for detecting and correcting errors in text databases. We focus on information that was accidentally entered in an incorrect column. Unlike machine-learning approaches to data cleaning that assume the database cells to contain atomic or numeric content, our method takes into account substrings of textual cells, and treats error detection and correction as...

2015
Hamdy Mubarak Kareem Darwish Ahmed Abdelali

This paper describes the error correction model that we used for the QALB2015 Automatic Correction of Arabic Text shared task. We employed a case-specific correction approach that handles specific error types such as dialectal word substitution and word splits and merges with the aid of a language model. We also applied corrections that are specific to second language learners that handle erron...

2013
Bibek Behera Pushpak Bhattacharyya

We introduce a novel technique that uses hierarchical phrase-based statistical machine translation (SMT) for grammar correction. SMT systems provide a uniform platform for any sequence transformation task. Thus grammar correction can be considered a translation problem from incorrect text to correct text. Over the years, grammar correction data in the electronic form (i.e., parallel corpora of ...

Journal: :Int. J. Comput. Linguistics Appl. 2016
Haithem Afli Loïc Barrault Holger Schwenk

In this paper, we explore the use of a statistical machine translation system for optical character recognition (OCR) error correction. We investigate the use of word and character-level models to support a translation from OCR system output to correct french text. Our experiments show that character and word based machine translation correction make significant improvements to the quality of t...

نمودار تعداد نتایج جستجو در هر سال

با کلیک روی نمودار نتایج را به سال انتشار فیلتر کنید