A critical investigation of recall and precision as measures of retrieval system performance
ACM Transactions on Information Systems (TOIS)
Evaluating computer-generated domain-oriented vocabularies
Information Processing and Management: an International Journal
Program: Automated Library and Information Systems
Techniques for automatically correcting words in text
ACM Computing Surveys (CSUR)
Tolerating spelling errors during patient validation
Computers and Biomedical Research
Phonetic string matching: lessons from information retrieval
SIGIR '96 Proceedings of the 19th annual international ACM SIGIR conference on Research and development in information retrieval
A comparison of approximate string matching algorithms
Software—Practice & Experience
Retrieval effectiveness of proper name search methods
Information Processing and Management: an International Journal
Communications of the ACM
Speech recognition: theory and C++ implementation
Speech recognition: theory and C++ implementation
ACM Computing Surveys (CSUR)
Spelling correction in user interfaces
Communications of the ACM
A guided tour to approximate string matching
ACM Computing Surveys (CSUR)
Information quality benchmarks: product and service performance
Communications of the ACM - Supporting community and building social capital
Data Quality Requirements Analysis and Modeling
Proceedings of the Ninth International Conference on Data Engineering
Measures of distributional similarity
ACL '99 Proceedings of the 37th annual meeting of the Association for Computational Linguistics on Computational Linguistics
An improved error model for noisy channel spelling correction
ACL '00 Proceedings of the 38th Annual Meeting on Association for Computational Linguistics
The relationship between Precision-Recall and ROC curves
ICML '06 Proceedings of the 23rd international conference on Machine learning
Syllable Alignment: A Novel Model for Phonetic String Search
IEICE - Transactions on Information and Systems
A Comparison of Personal Name Matching: Techniques and Practical Issues
ICDMW '06 Proceedings of the Sixth IEEE International Conference on Data Mining - Workshops
Overview and Framework for Data and Information Quality Research
Journal of Data and Information Quality (JDIQ)
Hashing-based approaches to spelling correction of personal names
EMNLP '10 Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing
| Hi-index | 0.00 |
Companies acquire personal information from phone, World Wide Web, or email in order to sell or send an advertisement about their product. However, when this information is acquired, moved, copied, or edited, the data may lose its quality. Often, the use of data administrators or a tool that has limited capabilities to correct the mistyped information can cause many problems. Moreover, most of the correction techniques are particularly implemented for the words used in daily conversations. Since personal names have different characteristics compared to general text, a hybrid matching algorithm (PNRS) which employs phonetic encoding, string matching and statistical facts to provide a possible candidate for misspelled names is developed. At the end, the efficiency of the proposed algorithm is compared with other well known spelling correction techniques.