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The aim of this paper is to develop a system that involves character recognition of Brahmi, Grantha and Vattezuthu characters from palm manuscripts of historical Tamil ancient documents, analyzed the text and machine translated the present Tamil digital text format. Though many researchers have implemented various algorithms and techniques for character recognition in different languages, ancient...
Patents constitute one of the most challenging domains for machine translation because patent sentences can be quite long with complex structures. This paper presents a hierarchical reordering method based on three-level parsing for Chinese-English patent MT. After integrating into a Phrase based SMT system, our method improves the BLEU score by 1.92. There are also improvements in NIST and METEOR...
Patent documents involve many professional fields and include multiple paragraphs, which have brought great difficulties for patent machine translation. This paper presents a hybrid strategy for patent machine translation, which combines the template-based machine translation (TBMT), the semantic rule-based machine translation (RBMT) and the statistics-based machine translation (SMT). The TBMT and...
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