A Parallel Corpus Based Translation Using Sentence Similarity

Abstract

Text translation is critical for the acquisition, dissemination, exchange and understanding of knowledge in the global information society this form the basis of much multilingual research in natural language processing, ranging from developing multilingual lexicons Translating large quantities of parallel corpora texts manually, make it difficult to produce consistent translations of text, such as paragraphs, sentences and phrases. The parallel Corpus-based translation systems make use of existing parallel texts to guide the translation process