Effect of OCR error correction on Arabic retrieval |
| |
| Authors: | Walid Magdy Kareem Darwish |
| |
| Institution: | (1) Cairo Microsoft Innovation Center, Smart Village—Bldg B115, Km 28, Cairo-Alexandria Desert Rd, Abou Rawash, Egypt |
| |
| Abstract: | Arabic documents that are available only in print continue to be ubiquitous and they can be scanned and subsequently OCR’ed
to ease their retrieval. This paper explores the effect of context-based OCR correction on the effectiveness of retrieving
Arabic OCR documents using different index terms. Different OCR correction techniques based on language modeling with different
correction abilities were tested on real OCR and synthetic OCR degradation. Results show that the reduction of word error
rates needs to pass a certain limit to get a noticeable effect on retrieval. If only moderate error reduction is available,
then using short character n-gram for retrieval without error correction is not a bad strategy. Word-based correction in conjunction
with language modeling had a statistically significant impact on retrieval even for character 3-grams, which are known to
be among the best index terms for OCR degraded Arabic text. Further, using a sufficiently large language model for correction
can minimize the need for morphologically sensitive error correction.
|
| |
| Keywords: | OCR Language modeling Information retrieval Error correction |
| 本文献已被 SpringerLink 等数据库收录！ |
|
