A Multi-Genre SMT System for Arabic to French

This work presents improvements of a large-scale Arabic to French statistical machine translation system over a period of three years. The development includes better preprocessing, more training data, additional genre-specific tuning for different domains, namely newswire text and broadcast news transcripts, and improved domain-dependent language models. Starting with an early prototype in 2005 that participated in the second CESTA evaluation, the system was further upgraded to achieve favorable BLEU scores of 44.8% for the text

• Type: Conference
• Year: 2008
• Where: LREC
• Authors: Sasa Hasan, Hermann Ney
• Keywords: Additional Genre-specific Tuning, Education, French Statistical Machine, LREC 2008, Work Presents Improvements