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Journal articles on the topic 'Error Detection and Correction'

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1

Asapu, Harika, A. Sai Kumar Goud Mr., and Pradeep Kumar Reddy Mr. "A Dynamic Scratchpad Memory Collaborated with Cache Memory for Transferring Data for Multi bit Error Correction." International Journal of Trend in Scientific Research and Development 2, no. 4 (2018): 1390–98. https://doi.org/10.31142/ijtsrd14351.

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Modern embedded processors include both scratchpad memory SPM and cache memory in their architectures. SPM's are prone to soft errors like Single event upsets SEUs and Single event multiple upsets SEMUs . For correcting soft errors, we use Error Correcting Codes ECC like single error correction double error detection SEC DED and SEC DED double adjacent error correction SEC DED DAEC and parity duplication approach. These approaches are used only error correction for less number of corrections and thus increases speed. This paper proposes a duplication scheme, cache assisted duplicated SPM C
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Asapu, Harika, A. Sai Kumar Goud Mr., and Pradeep Kumar Reddy Mr. "A Scratchpad Memory with Advanced DMA for Data Transfer with Cache Assistance for Multi bit Error Correction." International Journal of Trend in Scientific Research and Development 2, no. 4 (2018): 1399–409. https://doi.org/10.31142/ijtsrd14354.

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Modern embedded processors includes both scratchpad memory SPM and cache memory in their architectures. SPM's are prone to soft errors like Single event upsets SEUs and Single event multiple upsets SEMUs . For correcting soft errors, we use Error Correcting Codes ECC like single error correction double error detection SEC DED and SEC DED double adjacent error correction SEC DED DAEC and parity duplication approach. These approaches are used only error correction for less number of corrections and thus increases speed. This paper proposes a duplication scheme, cache assisted duplicated SPM
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3

Zhu, Jianbin, Xiaojun Shi, and Shuanghua Zhang. "Machine Learning-Based Grammar Error Detection Method in English Composition." Scientific Programming 2021 (December 18, 2021): 1–10. http://dx.doi.org/10.1155/2021/4213791.

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The detection of grammatical errors in English composition is an important task in the field of NLP. The main purpose of this task is to check out grammatical errors in English sentences and correct them. Grammatical error detection and correction are important applications in the automatic proofreading of English texts and in the field of English learning aids. With the increasing influence of English on a global scale, a huge breakthrough has been made in the task of detecting English grammatical errors. Based on machine learning, this paper designs a new method for detecting grammatical err
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Nanobashvili, Viktor, Vakhtang Abuladze, and Dimitri Sekhniashvili. "Error detection and correction in one mBnB class code." International journal of engineering & computer science 5, no. 1 (2022): 21–25. http://dx.doi.org/10.21744/ijecs.v5n1.1890.

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The article deals with the issues of error detection and correction in the second order bi-pulse code. The analysis of the code generation algorithm is carried out, based on which it is shown that the code has 4 allowed four-bit combinations. The article considers own resources of a code which allow detecting and correcting both single errors and packets of errors. It is shown that errors are detected with probability of 1 when one, two and three bits of the code combination are distorted, while the probability of their correction does not exceed 0.5, in the case of distortion of all four symb
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Leng, Yichong, Xu Tan, Wenjie Liu, et al. "SoftCorrect: Error Correction with Soft Detection for Automatic Speech Recognition." Proceedings of the AAAI Conference on Artificial Intelligence 37, no. 11 (2023): 13034–42. http://dx.doi.org/10.1609/aaai.v37i11.26531.

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Error correction in automatic speech recognition (ASR) aims to correct those incorrect words in sentences generated by ASR models. Since recent ASR models usually have low word error rate (WER), to avoid affecting originally correct tokens, error correction models should only modify incorrect words, and therefore detecting incorrect words is important for error correction. Previous works on error correction either implicitly detect error words through target-source attention or CTC (connectionist temporal classification) loss, or explicitly locate specific deletion/substitution/insertion error
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Ms. Delphine Mary. P and Simran. A. "Design and Implementation of Hamming Code with Error Correction Using Xilinx." International Journal of Scientific Research in Computer Science, Engineering and Information Technology 10, no. 4 (2024): 158–66. http://dx.doi.org/10.32628/cseit24104117.

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Advanced electrical circuits are very concerned about error-free communication. Information mistakes that happen during transmission may result in incorrect information being received. Error correction codes are frequently employed in electrical circuits to safeguard the data stored in memory and registers. One of these forward error correcting codes is the hamming code. It either employs the even parity or odd parity check approach. Here, we used the even parity check approach to implement hamming code. Compared to the parity check approach, hamming code is better. The hamming code is impleme
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7

Huang, R. N., B. Gong, and Yun Jiang Lou. "An Error Correction Code for Use in Space Vehicle Computers." Applied Mechanics and Materials 121-126 (October 2011): 3784–88. http://dx.doi.org/10.4028/www.scientific.net/amm.121-126.3784.

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Memory cells of space vehicle computers generate errors in their stored data because of radiation. The main reason of the error is single event upset (SEU). Hamming code which has Capability of correcting one bit and detecting two bits is usually used in space vehicles to secure the memory data. As the density of the memory is more and more high, the possibility of multiple bits upset (MBU) increase and hamming code may be inadequate. In this paper, a (15,8) code is presented which can correct all double-adjacent errors and triple-adjacent errors in addition to signal error correction (SEC) an
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8

D. Tam, Nicoladie. "Self-Corrective Autonomous Systems using Optimization Processes for Detection and Correction of Unexpected Error Conditions." IAES International Journal of Robotics and Automation (IJRA) 5, no. 4 (2016): 262. http://dx.doi.org/10.11591/ijra.v5i4.pp262-276.

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<p>A theoretical framework for autonomous self-detection and self-correction of unexpected error conditions is derived by incorporating the principles of operation in autonomous control in biological evolution. Using the biologically inspired principles, the time-dependent multi-dimensional disparity vector is used as a quantitative metric for detecting unexpected and unforeseeable error conditions without any external assistance. The disparity vector is a measure of the discrepancy between the expected outcome predicted by the autonomous system and the actual outcome in the real world.
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9

Gao, Xin, Naiyuan Cui, Jiawei Nian, Hongjin Liu, and Mengfei Yang. "Two-Dimensional Protection Code for Virtual Page Information in Translation Lookaside Buffers." Electronics 13, no. 7 (2024): 1320. http://dx.doi.org/10.3390/electronics13071320.

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Severe conditions such as high-energy particle strikes may induce soft errors in on-chip memory, like cache and translation lookaside buffers (TLBs). As the key component of virtual-to-physical address translation, TLB directly affects processor performance. To protect the virtual page information stored in TLB, several studies have introduced error detection or correction codes. However, most schemes proposed for data TLB cannot support the detection of multi-bit upsets, which is reported as a serious issue in modern fault-tolerant processors due to the downscaling of CMOS process technology.
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Das, P. K. "Codes on Key Errors." Cybernetics and Information Technologies 14, no. 2 (2014): 31–37. http://dx.doi.org/10.2478/cait-2014-0017.

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Abstract Coding theory has started with the intention of detection and correction of errors which have occurred during communication. Different types of errors are produced by different types of communication channels and accordingly codes are developed to deal with them. In 2013 Sharma and Gaur introduced a new kind of an error which will be termed “key error”. This paper obtains the lower and upper bounds on the number of parity-check digits required for linear codes capable for detecting such errors. Illustration of such a code is provided. Codes capable of simultaneous detection and correc
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Nanobashvili, Victor, Vakhtang Abuladze, and Shakro Bregadze. "Detection of Unit Errors in the EP-1-Line Code." Works of Georgian Technical University, no. 4(526) (December 26, 2022): 67–71. http://dx.doi.org/10.36073/1512-0996-2022-4-67-71.

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During the transmission of digital telecommunication signals, great importance is attached to the detection of errors in the line, which is important both in terms of line control and their subsequent correction. Error detection issues in EP-1-line code are discussed. It has been shown that the traditional method of error detection in code can detect all errors, but it fails to determine the damaged time slot (localization of errors), which makes impossible further correction of errors. An error localization method is proposed, which is based on detection of restricted combinations within four
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Priya, Vadlamudi Hari, Yenuganti Rama, Purimetla Srimati, and Shaik Shahanaz. "Pronunciation Error Detection and Correction." International Journal of Computer Science and Engineering 10, no. 12 (2023): 1–4. http://dx.doi.org/10.14445/23488387/ijcse-v10i12p101.

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13

Abed, Hamdan Kadhim, and Wameedh Nazar Flayyih. "Comparative Reliability Analysis between Horizontal-Vertical-Diagonal Code and Code with Crosstalk Avoidance and Error Correction for NoC Interconnects." Journal of Engineering 29, no. 7 (2023): 120–36. http://dx.doi.org/10.31026/j.eng.2023.07.08.

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Ensuring reliable data transmission in Network on Chip (NoC) is one of the most challenging tasks, especially in noisy environments. As crosstalk, interference, and radiation were increased with manufacturers' increasing tendency to reduce the area, increase the frequencies, and reduce the voltages. So many Error Control Codes (ECC) were proposed with different error detection and correction capacities and various degrees of complexity. Code with Crosstalk Avoidance and Error Correction (CCAEC) for network-on-chip interconnects uses simple parity check bits as the main technique to get high er
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Alfian, Muhammad, Umi Laili Yuhana, Daniel Siahaan, and Harum Munazharoh. "Annotation Error Detection and Correction for Indonesian POS Tagging Corpus." Lontar Komputer : Jurnal Ilmiah Teknologi Informasi 16, no. 1 (2025): 41. https://doi.org/10.24843/lkjiti.2025.v16.i01.p04.

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Linguistic Corpus is the primary material for training and evaluating machine learning models, especially for POS Tagging. However, the human-annotated corpus is not free from annotation errors. Annotation errors have a negative impact on model performance. Therefore, we propose annotation error detection and correction. We detect annotation errors in the Indonesian POS Tagging corpus using the n-gram variation method. Then, we correct the corpus using an expert-voting approach. Annotation error detection successfully collected 6,536 annotation error candidates. Each candidate has two possibil
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15

Kuchukov, Viktor Andreevich. "Application of Entropy for Modular Code Error Detection in Reliable Distributed Storage Systems." Proceedings of the Institute for System Programming of the RAS 36, no. 1 (2024): 61–72. http://dx.doi.org/10.15514/ispras-2024-36(1)-5.

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The paper considers the problem of error detection and localization of modular code. The polynomial residue number system represents the input number as a set of polynomials over the finite field GF(2m), which are residues from dividing the original polynomial by a set of irreducible polynomials. The introduction of redundant moduli provides the required corrective capability of the noise-tolerant code. The application of entropy for error detection of a polynomial residue number system, error correction of which is performed by the maximum likelihood method, is considered. In the residue numb
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16

Jun, Ho-yoon, and Yong-surk Lee. "Single error correction, double error detection and double adjacent error correction with no mis-correction code." IEICE Electronics Express 10, no. 20 (2013): 20130743. http://dx.doi.org/10.1587/elex.10.20130743.

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17

MacKay, Donald G., and Laura W. Johnson. "Errors, error detection, error correction and hippocampal-region damage: Data and theories." Neuropsychologia 51, no. 13 (2013): 2633–50. http://dx.doi.org/10.1016/j.neuropsychologia.2013.08.009.

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18

Lugovskiy, D. V., and Yu E. Kurchenko. "DEVELOPMENT OF ACCOUNTING ERROR CORRECTION MECHANISM." Scientific Review Theory and Practice 10, no. 12 (2020): 3159–74. http://dx.doi.org/10.35679/2226-0226-2020-10-12-3159-3174.

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The rules for correcting errors directly depend on their correct identification and classification. In this regard, the problem of separating errors from abuse takes on a special role, which is reflected in the presented definition of an accounting error, which is understood as the result of unintentional actions of accounting personnel. An extended classification of accounting errors is given according to nine basic classification criteria: by intention, by the method of distortion, by reasons of occurrence, by place of occurrence, by the essence of manifestation, by consequences, by frequenc
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19

Puerto Cuadros, Eduard Gilberto. "Advanced Neural Model for Spanish Spell-Checking." Ingeniería 29, no. 3 (2024): e21135. https://doi.org/10.14483/23448393.21135.

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Context: Correcting spelling errors in written content, particularly in Spanish texts, remains a critical challenge in natural language processing (NLP) due to the complexity of word structures and the inefficiency of existing methods when applied to large datasets. Method: This paper introduces a novel neural model inspired by the brain’s cognitive mechanisms for recognizing and correcting misspelled words. Through a deep hierarchical framework with specialized recognition neurons and advanced activation functions, the model is designed to enhance the accuracy and scalability of spelling corr
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20

Murugesan, Vigneshwari. "Leveraging CRC Error Detection for Enhanced Error Correction in Digital Communication Systems." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 04 (2024): 1–5. http://dx.doi.org/10.55041/ijsrem30604.

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In this study, CRC error detection techniques will be used to not only identify but fix single-bit errors in digital communication systems. In the past, CRC codes have been employed mainly for their ability to detect errors efficiently. However, this paper suggests a new way that will make it possible to modify CRC functions and thus correct the identified errors. It is intended that by using an optimized look-up table in Verilog hardware description language with an advanced Xilinx 14.7 toolchain, this research can increase the dependability and effectiveness of error correction mechanisms fo
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21

Beaugris, Louis. "Error Correction for Check Digit Systems over p-Groups and Applications to DNA Sequences." Mathematics 13, no. 2 (2025): 211. https://doi.org/10.3390/math13020211.

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Statistical analysis shows that the most common errors in the transmission of information consist of single errors and transposition errors. Error detection and correction methods are often desired, particularly when the accuracy of information is of crucial importance. Inspired by a check digit system constructed from the companion matrix of a primitive polynomial over the integers Zp and that focused on error detection, this work develops error-correction formulas for single errors and transposition errors for that check digit scheme. We also propose an application to DNA sequences.
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Chen, Pei Jiang. "Headlight Detection and Error Correction of Measurement Data." Applied Mechanics and Materials 740 (March 2015): 535–38. http://dx.doi.org/10.4028/www.scientific.net/amm.740.535.

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Headlight detection was an important item of vehicle safety testing which main detection contents included light intensity and beam irradiation direction. It was to ensure the safe operation of vehicle at night or in adverse visual conditions. The basic concepts and testing standards of headlight were introduced, and the reasons of high failure rate for headlight detection were discussed. The main error correction methods of vehicle parking position in headlight detection were compared, and their advantages and disadvantages were analyzed. An error correction system of headlight testing measur
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23

Kang, Y., C. Y. Zhao, Q. Zhang, and C. S. Yang. "INSAR UNWRAPPING ERROR CORRECTION BASED ON QUASI-ACCURATE DETECTION OF GROSS ERRORS (QUAD)." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-3 (April 30, 2018): 723–28. http://dx.doi.org/10.5194/isprs-archives-xlii-3-723-2018.

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Unwrapping error is a common error in the InSAR processing, which will seriously degrade the accuracy of the monitoring results. Based on a gross error correction method, Quasi-accurate detection (QUAD), the method for unwrapping errors automatic correction is established in this paper. This method identifies and corrects the unwrapping errors by establishing a functional model between the true errors and interferograms. The basic principle and processing steps are presented. Then this method is compared with the L1-norm method with simulated data. Results show that both methods can effectivel
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Hong, Huajie, Keyan He, Zihao Gan, and Guilin Jiang. "Stability Precision Error Correction of Photoelectric Detection by Unmanned Aerial Vehicle." Journal of Sensors 2021 (April 4, 2021): 1–12. http://dx.doi.org/10.1155/2021/5564448.

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For getting clear images and overcoming shaking caused by various disturbances, real-time compensation of pointing errors will improve the overall stability performance of photoelectric detection by unmanned aerial vehicle. However, the compensation will be greatly deteriorated by error-causing sources, and the error correction process is of great importance. In this research, the problem of stability precision error correction is comprehensively studied. First, by modeling overall kinematics, error-causing sources, and error compensation, the error correction process is mathematically modeled
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Efanov, D. V., and T. S. Pogodina. "Research on properties of the combination-type device fault-tolerant structure implemented by the logical correction method of signals with calculation testing by modified Hamming’s codes." Herald of the Ural State University of Railway Transport, no. 2 (2023): 31–44. http://dx.doi.org/10.20291/2079-0392-2023-2-31-44.

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A fault-tolerant structure for combinational-type automation devices is considered, which does not imply the introduction of modular precision into the structure of the original device. In the fault-tolerant structure, using the method of logical correction of signals, a special block for fixing distorted signals is synthesized, and using a modified Hamming code, a concurrent error-detection circuit for the source object is synthesized. Correction is carried out using the output signal correction unit controlled by the concurrent error-detection control circuit and block for fixing distorted s
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Abdulsattar, Ruaa Alaadeen, and Nada Hussein M. Ali. "Lookup Table Algorithm for Error Correction in Color Images." JOIV : International Journal on Informatics Visualization 2, no. 2 (2018): 63. http://dx.doi.org/10.30630/joiv.2.2.113.

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Error correction and error detection techniques are often used in wireless transmission systems. A color image of type BMP is considered as an application of developed lookup table algorithms to detect and correct errors in these images. Decimal Matrix Code (DMC) and Hamming code (HC) techniques were integrated to compose Hybrid Matrix Code (HMC) to maximize the error detection and correction. The results obtained from HMC still have some error not corrected because the redundant bits added by Hamming codes to the data are considered inadequate, and it is suitable when the error rate is low fo
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Hikmat, N. Abdullah, R. Saeed Thamir, and H. Sahar Asaad. "Efficient error correcting scheme for chaos shift keying signals." International Journal of Electrical and Computer Engineering (IJECE) 9, no. 5 (2019): 3550–57. https://doi.org/10.11591/ijece.v9i5.pp3550-3557.

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An effective error-correction scheme based on normalized correlation for a non coherent chaos communication system with no redundancy bits is proposed in this paper. A modified logistic map is used in the proposed scheme for generating two sequences, one for every data bit value, in a manner that the initial value of the next chaotic sequence is set by the second value of the present chaotic sequence of the similar symbol. This arrangement, thus, has the creation of successive chaotic sequences with identical chaotic dynamics for error correction purpose. The detection symbol is performed prio
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Wael, Toghuj. "Modifying Hamming code and using the replication method to protect memory against triple soft errors." TELKOMNIKA Telecommunication, Computing, Electronics and Control 18, no. 5 (2020): 2533~2542. https://doi.org/10.12928/TELKOMNIKA.v18i5.13345.

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As technology scaling increases computer memory’s bit-cell density and reduces the voltage of semiconductors, the number of soft errors due to radiation induced single event upsets (SEU) and multi-bit upsets (MBU) also increases. To address this, error-correcting codes (ECC) can be used to detect and correct soft errors, while x-modular-redundancy improves fault tolerance. This paper presents a technique that provides high error-correction performance, high speed, and low complexity. The proposed technique ensures that only correct values get passed to the system output or are processed
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29

Tschichold, Cornelia. "Lexically Driven Error Detection and Correction." CALICO Journal 20, no. 3 (2013): 549–59. http://dx.doi.org/10.1558/cj.v20i3.549-559.

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Recent progress in multimedia technology used in CALL has clearly been more impressive than progress in error detection capability. In order to overcome the obstacles in error detection needed for intelligent feedback in CALL, this paper calls for a new focus on lexical items, both single words and multiword units of various types. Single and multiword lexemes should not only be explicitly taught in CALL, but could also provide the key to more effective feedback on the language production by learners.
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Mohan, R., G. Medioni, and R. Nevatia. "Stereo error detection, correction, and evaluation." IEEE Transactions on Pattern Analysis and Machine Intelligence 11, no. 2 (1989): 113–20. http://dx.doi.org/10.1109/34.16708.

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ATTIA, MOHAMMED, PAVEL PECINA, YOUNES SAMIH, KHALED SHAALAN, and JOSEF VAN GENABITH. "Arabic spelling error detection and correction." Natural Language Engineering 22, no. 5 (2015): 751–73. http://dx.doi.org/10.1017/s1351324915000030.

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AbstractA spelling error detection and correction application is typically based on three main components: a dictionary (or reference word list), an error model and a language model. While most of the attention in the literature has been directed to the language model, we show how improvements in any of the three components can lead to significant cumulative improvements in the overall performance of the system. We develop our dictionary of 9.2 million fully-inflected Arabic words (types) from a morphological transducer and a large corpus, validated and manually revised. We improve the error m
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32

Pilotti, Maura, and Martin Chodorow. "Error detection/correction in collaborative writing." Reading and Writing 22, no. 3 (2007): 245–60. http://dx.doi.org/10.1007/s11145-007-9110-x.

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Chen, Xiu-Bo, Li-Yun Zhao, Gang Xu, et al. "Low-overhead fault-tolerant error correction scheme based on quantum stabilizer codes." Chinese Physics B 31, no. 4 (2022): 040305. http://dx.doi.org/10.1088/1674-1056/ac3817.

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Fault-tolerant error-correction (FTEC) circuit is the foundation for achieving reliable quantum computation and remote communication. However, designing a fault-tolerant error correction scheme with a solid error-correction ability and low overhead remains a significant challenge. In this paper, a low-overhead fault-tolerant error correction scheme is proposed for quantum communication systems. Firstly, syndrome ancillas are prepared into Bell states to detect errors caused by channel noise. We propose a detection approach that reduces the propagation path of quantum gate fault and reduces the
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Gorabal, Amrutha, and Nayana D K. "FPGA Implementation of UART with Single Error Correction and Double Error Detection (UART-SEC-DED)." International Journal of Engineering & Technology 7, no. 3.12 (2018): 23. http://dx.doi.org/10.14419/ijet.v7i3.12.15856.

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The Universal Asynchronous Receiver Transmitter (UART) is the very simple and significant sequential communication protocol which is basically utilized for microprocessors & microcontroller systems. It is a shorter range communication protocol, which able to perform half-duplex and full-duplex type of communication at baud rates. Though, UART is a type of shorter range communication still they are not resistant to noisy channel which leads to communication errors by flipping or loosing of bits. These kinds of signal errors are named as forward-errors. The correction of forward errors is a
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Li, Long, and Jiacai Huang. "Recursive of Least Square Based Online Calibration Method in Geomagnetic Detection." MATEC Web of Conferences 232 (2018): 04087. http://dx.doi.org/10.1051/matecconf/201823204087.

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With the problem of attitude measurement accuracy is susceptible to various errors of geomagnetic survey, this paper establishes geomagnetic measurement error ellipsoid model by analysis of on the environment and own errors, uses the maximum likelihood algorithm for solving the static error correction coefficient. The experimental results show that, the maximum of attitude angle errors is less than 5° near blind direction, online combination correction can ensure the accuracy of attitude detection system under different shooting conditions.
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Salmela, Leena, Kingshuk Mukherjee, Simon J. Puglisi, Martin D. Muggli, and Christina Boucher. "Fast and accurate correction of optical mapping data via spaced seeds." Bioinformatics 36, no. 3 (2019): 682–89. http://dx.doi.org/10.1093/bioinformatics/btz663.

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Abstract Motivation Optical mapping data is used in many core genomics applications, including structural variation detection, scaffolding assembled contigs and mis-assembly detection. However, the pervasiveness of spurious and deleted cut sites in the raw data, which are called Rmaps, make assembly and alignment of them challenging. Although there exists another method to error correct Rmap data, named cOMet, it is unable to scale to even moderately large sized genomes. The challenge faced in error correction is in determining pairs of Rmaps that originate from the same region of the same gen
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Postma, Albert, and Herman Kolk. "The Covert Repair Hypothesis." Journal of Speech, Language, and Hearing Research 36, no. 3 (1993): 472–87. http://dx.doi.org/10.1044/jshr.3603.472.

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Self-repairing of speech errors demonstrates that speakers possess a monitoring device with which they verify the correctness of the speech flow. There is substantial evidence that this speech monitor not only comprises an auditory component (i.e., hearing one’s own speech), but also an internal part: inspection of the speech program prior to its motoric execution. Errors thus may be detected before they are actually articulated. In the covert repair hypothesis of disfluency, this internal error detection possibility has been extended with an internal correction counterpart. Basically, the cov
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Liu, Xi. "An English Translation Error Correction System Based on Multi-Feature Fusion." Journal of Electrical Systems 20, no. 3s (2024): 483–93. http://dx.doi.org/10.52783/jes.1318.

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Multi-feature fusion is an advanced computational technique that combines multiple sources of information or characteristics to improve the performance of a system or model. In various fields such as computer vision, natural language processing, and machine learning, this approach integrates diverse features like visual cues, textual data, and contextual information to enhance accuracy, robustness, and efficiency. Multi-feature fusion-based English translation represents a cutting-edge approach in natural language processing, where diverse linguistic features are amalgamated to refine the accu
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Omotayo Emmanuel Omoyemi. "Automated error detection and correction in Augmentative and Alternative Communication (AAC) Systems Using NLP." World Journal of Advanced Research and Reviews 24, no. 2 (2024): 520–25. http://dx.doi.org/10.30574/wjarr.2024.24.2.3374.

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This research examines the application of natural language processing (NLP) methods in the field of error detection and correction attached to the weakly constrained domains of Augmentative and Alternative Communication (AAC) systems designed for people with several communicative difficulties. To train and evaluate the effectiveness of the NLP model, we present a simulated dataset containing typical input AAC errors, such as symbol errors, typographical errors, and context arguments that do not suit the input; this way, we do not use real user data. The methodology consists of using simulated
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Omotayo, Emmanuel Omoyemi. "Automated error detection and correction in Augmentative and Alternative Communication (AAC) Systems Using NLP." World Journal of Advanced Research and Reviews 24, no. 2 (2024): 520–25. https://doi.org/10.5281/zenodo.15076575.

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This research examines the application of natural language processing (NLP) methods in the field of error detection and correction attached to the weakly constrained domains of Augmentative and Alternative Communication (AAC) systems designed for people with several communicative difficulties. To train and evaluate the effectiveness of the NLP model, we present a simulated dataset containing typical input AAC errors, such as symbol errors, typographical errors, and context arguments that do not suit the input; this way, we do not use real user data. The methodology consists of using simulated
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Chouksey, Sagar, Mayur Ghadle, Abdul Rasheed, and Shaikh Khursheed Mohd Murtaza. "PERFORMANCE AND ANALYSIS OF REED-SOLOMAN CODES FOR EFFICIENT COMMUNICATION SYSTE." INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY 10, no. 1 (2013): 1249–54. http://dx.doi.org/10.24297/ijct.v10i1.3327.

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In wireless communication systems reducing bit/frame/symbol error rate is critical. If bit error rates are high then in wireless communication system our aim is to minimize error by employing various coding methods on the data transferred. Various channel coding for error detection and correction helps the communication system designers to reduce the effects of a noisy data transmission channel. In this paper our focus is to study and analysis of the performance of Reed-Solomon code that is used to encode the data stream in digital communication. The performances were evaluated by applying to
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Bao, Zian, Binbin Bie, Wenfei Fan, et al. "Rock: Cleaning Data with both ML and Logic Rules." Proceedings of the VLDB Endowment 17, no. 12 (2024): 4373–76. http://dx.doi.org/10.14778/3685800.3685878.

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We demonstrate Rock, a system for cleaning relational data. Rock highlights the following unique features: (1) it extends logic rules by embedding machine learning models as predicates, to benefit from both ML and logic deduction; (2) it supports entity resolution, conflict resolution, timeliness deduction and missing data imputation in a unified process; and (3) it provides parallelly scalable algorithms for rule discovery, error detection and error correction, in batch and incremental modes. We will demonstrate Rock for its (a) easy-to-use interface, (b) scalability when cleaning large datas
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Xiao, Rui, and Shengquan Luo. "Grammar System of TCFL Driven by Neural Network Technology." Computational Intelligence and Neuroscience 2022 (June 29, 2022): 1–10. http://dx.doi.org/10.1155/2022/9800539.

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With the economy’s continued and stable growth, China’s political and economic influence in the international community has grown, and more and more friends from all over the world are requesting to learn Chinese and visit China. The growth of information technology and curriculum integration has had a significant impact on TCFL (teaching Chinese as a foreign language). Facing the new situation will enable us to gain a fresh perspective on the current state of TCFL grammar system research. Through specific teaching practice, this paper verifies the effectiveness of teaching Chinese as a foreig
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Ahamed Z, Ghouse, and Anuj Jain. "Literature Review on High Definition Image Error Concealment." International Journal of Engineering & Technology 7, no. 3.12 (2018): 165. http://dx.doi.org/10.14419/ijet.v7i3.12.15910.

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This paper is give us a overview of Error control method used in image or video transmission. Data in transmission is lost due to link failure or due to congestion and loss in packets, so the aim of this method is to protect data from these errors. Error detection coding and Error correction coding are two types of error control mechanism. Some of the error control mechanisms are Retransmission, Forward error correction, error concealment and error resilience. We are discussing a summary of three methods and Error Concealment in details.
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Kiogora, Mutugi Praise, Loyford Njagi, and Josephine Mutembei. "Errors, error detection and correction efficiency in the container number code." African Journal of Science, Technology and Social Sciences 2, no. 2 (2024): 93–103. http://dx.doi.org/10.58506/ajstss.v2i2.166.

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The container number is an 11-digit code that uses a single parity check of modulo 11 to check the authenticity of the container numbers. The world relies on shipment containers to transport goods. Various types of cargos have been erroneously delivered in different places. The modulo 11 container number is divided into four parts. The owner code that consists of three capital letters of the Latin alphabet to indicate the owner or principal operator of the container. Such code needs to be registered at the Bureau International des Conteneurs in Paris to ensure uniqueness worldwide (per ISO 634
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Toghuj, Wael, and Ghazi I. Alkhatib. "Improved Algorithm for Error Correction." International Journal of Information Technology and Web Engineering 6, no. 1 (2011): 1–12. http://dx.doi.org/10.4018/jitwe.2011010101.

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Digital communication systems are an important part of modern society, and they rely on computers and networks to achieve critical tasks. Critical tasks require systems with a high level of reliability that can provide continuous correct operations. This paper presents a new algorithm for data encoding and decoding using a two-dimensional code that can be implemented in digital communication systems, electronic memories (DRAMs and SRAMs), and web engineering. The developed algorithms correct three errors in codeword and detect four, reaching an acceptable performance level. The program that is
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Errattahi, Rahhal, Asmaa El Hannani, and Hassan Ouahmane. "Automatic Speech Recognition Errors Detection And Correction: A Review." AL-Lisaniyyat 22, no. 2 (2016): 40–43. http://dx.doi.org/10.61850/allj.v22i2.372.

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Even though Automatic Speech Recognition (ASR) has matured to the point of commercial applications, high error rate in some speech recognition domains remain as one of the main impediment factors to the wide adoption of speech technology, and especially for continuous large vocabulary speech recognition applications. The persistent presence of ASR errors have intensified the need to find alternative techniques to automatically detect and correct such errors. The correction of the transcription errors is very crucial not only to improve the speech recognition accuracy, but also to avoid the pro
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Lepeshkina, E. S., N. D. Kustov, and V. K. Khanov. "Application of double-error correction codes to protect configuration programmable logic memory against space radiation." Russian Technological Journal 11, no. 5 (2023): 54–62. http://dx.doi.org/10.32362/2500-316x-2023-11-5-54-62.

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Objectives. Programmable logic integrated circuits of the field programmable gate array (FPGA) type based on static configuration memory are widely used in the electronics of onboard spacecraft systems. Under the influence of space radiation, errors may occur in the FPGA configuration memory. The main methods of protection against such errors involve various options for reservation triggers, as well as the use of error-correcting codes in special error detection and correction circuits. The purpose of the present work is to determine which error-correcting codes are best suited to the implemen
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Achmad, Fauzi, Nurhayati, and Rahim Robbi. "Bit Error Detection and Correction with Hamming Code Algorithm." International Journal of Scientific Research in Science, Engineering and Technology (IJSRSET) 3, no. 1 (2017): 76–81. https://doi.org/10.5281/zenodo.243775.

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Data communication performed at any time does not always go well, sometimes also happens that his name error when transmitting data. The detection and correction of errors in data transmission requires special algorithms in this study using the algorithm Hamming Code, the use of this algorithm due to ease in the detection and correction of bit damaged and is expected by this research easier for other researchers to develop algorithms Hamming Code for a variety of purposes in data transmission.
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Kuznetsova, I. L., and A. S. Poljakov. "The effective algorithm of ensuring the integrity of the transmitted information." Proceedings of the National Academy of Sciences of Belarus. Physics and Mathematics Series 57, no. 4 (2021): 506–12. http://dx.doi.org/10.29235/1561-2430-2021-57-4-506-512.

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The problem of ensuring the integrity of the transmitted information in modern information and communication systems is considered in this paper. An optimized algorithm for detecting and correcting errors in the information transmitted over communication lines is proposed. It was developed on the basis of the results of previous studies of the error correction method based on the parity values of the coordinates of a binary matrix. An easy-to-implement, high-speed and efficient error detection algorithm is proposed which is focused on the use of small binary matrices, for example, (4 × 8) or (
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