[PDF] Top 20 OCR Post Processing for Low Density Languages

... Most correction methods are not suitable for low density languages as they rely on lexicons. Goshtasby and Ehrich (1988) present a lexicon-free method based on probabilistic relaxation labeling. ... See full document

... for OCR are: fonts differ in different materials, lack of orthographic stan- dard (same words spelled differently), material quality (some documents can have deformations) and a lexicon of known historical ... See full document

... specific, low-resource ...to processing texts with a limited de- gree of OCR corruption, ...older OCR engines can prove too ...general-purpose OCR post-correction tool should be ... See full document

... an OCR based solution for digitising Romanised ...a Post-OCR text correction approach and is de- void of any OCR-specific feature ...Google OCR on the Saha´sran¯ama ...for OCR ... See full document

... these languages might not conform to estab- lished ...syntactic processing of polysynthetic languages pose specific challenges due to the blur between the more usual morphology-syntax distinction ... See full document

... As regards the evaluation of the whole transla- tion process, results appear not so easy to evalu- ate. If we take Polish as an example (but the oth- er languages had similar behaviour) we see that pure BLEU ... See full document

... extremely low-resource nature of the data (on the order of a few hundred training examples), the task proved to be quite ...and post-processing perform comparably on ... See full document

... those languages having larger biphoneme ...Two languages may be said to be proximate if they are closely related linguistically or if the populations of speakers intermingle or otherwise habituate ... See full document

... Automated tools handle most of the corpus without human intervention, but also identify scenarios where automated accuracy tends to be lowest. In these difficult cases, the automatic tools restrict the problem to a ... See full document

... In order to understand the impact of the param- eters on the architecture, we performed some random search optimization on hyperparameters, for a subset of languages (Russian, Hebrew, French, Uyghur, Vietnamese, ... See full document

... of OCR is highly dependent on the quality of the printed source ...of OCR systems is not good enough to serve as a basis for Digital Humanities (DH) ...be post-corrected in a time-consuming and ... See full document

... world’s languages, no structured, com- plete inflectional paradigms in a machine-readable format are available for human language technology (HLT) ap- ...15 languages, with materials ready for eliciting ... See full document

... 22 languages and produced various types of ...different languages, we have to bear in mind that these statistics are biased to some extent by the choices we have ...some languages may more frequently ... See full document

... Languages at IIT Bombay have developed a tool for automatic extraction of Multi Word Expressions from a corpus that uses minimum linguistic tools such as morphological analysers, and POS taggers. The candidates ... See full document

... For processing the dataset images, we have used OpenCV, an open-source library with state-of-the-art computer vision capabilities [3], allowing for quick implementation of our ... See full document

... To show the effectiveness of ’Active Learning’ in the alignment task, we have used ’Word Level Error’ than ’Sentence Level Error’. Even if a single word of a sentence have a mis-alignment, all the other words of that ... See full document

... In this paper, an effective hybrid approach is presented to perform the digital character recognition for noisy image. This recognition system is defined using KNN improved Art Network Approach. In this section, ... See full document

... A common strategy to improve learning of low- resource languages is to use resources from re- lated languages (Nakov and Ng, 2009). However, adapting these resources is not trivial. NMT of- fers some ... See full document

... 4) Tesseract: Tesseract is an Open Source OCR engine which is useful in text detection. It is the first engine to provide this type of image processing. First process is Adaptive Thresholding in which the ... See full document

... A practical, clinical challenge regarding advanced lipid testing is that the use of lipoprotein pattern analysis for pre-treatment diagnostic purposes may have very differ- ent clinical implications than the use of ... See full document