OCR and Machine Translation

OCR Error Correction Using Statistical Machine Translation

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...

Machine Translation and Machine‐Aided Translation

The recent report for the Commission of the European Communities on current multilingual activities in the field of scientific and technical information 1 and the 1977 conference on the same theme 2 both included substantial sections on operational and experimental machine translation systems, and in its Plan of action 3 the Commission announced its intention to introduce an operational machine...

Portable Language-Independent Adaptive Translation from OCR

Human translation and machine translation

While most of recent machine translation work has focus on the gisting application (i.e., translating web pages), another important application is to aid human translators. To build better computer aided translation tools, we first need to understand how human translators work. We discuss how human translators work and what tools they typically use. We also build a novel tool that offers post-e...

A Complete Machine printed Gurmukhi OCR System

Recognition of Indian language scripts is a challenging problem. Work for the development of complete OCR systems for Indian language scripts is still in infancy. Complete OCR systems have recently been developed for Devanagri and Bangla scripts. Research in the field of recognition of Gurmukhi script faces major problems mainly related to the unique characteristics of the script like connectiv...