Triplet Lexicon Models for Statistical Machine Translation

This paper describes a lexical trigger model for statistical machine translation. We present various methods using triplets incorporating long-distance dependencies that can go beyond the local context of phrases or n-gram based language models. We evaluate the presented methods on two translation tasks in a reranking framework and compare it to the re

• Type: Conference
• Year: 2008
• Where: EMNLP
• Authors: Sasa Hasan, Juri Ganitkevitch, Hermann Ney, Jesús Andrés-Ferrer
• Keywords: EMNLP 2008, Lexical Trigger Model, N-gram Based Language, Natural Language Processing, Statistical Machine Translation