کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
469583 698334 2009 6 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
A word alignment model based on multiobjective evolutionary algorithms
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر علوم کامپیوتر (عمومی)
پیش نمایش صفحه اول مقاله
A word alignment model based on multiobjective evolutionary algorithms
چکیده انگلیسی

Word alignment is a key task in statistical machine translation (SMT). This paper presents a novel model for this task. In this model, word alignment is considered as a multiobjective optimization problem and solved based on the non-dominated sorting genetic algorithm II (NSGA-II), which is one of the best multiobjective evolutionary algorithms (MOEA). There are two advantages of the proposed model based on NSGA-II. First, it could be easily extended through incorporating new objective functions. Secondly, it does not need any hand-aligned word-level alignment data to determine the weight of each objective function. Experiments were carried out and the results show that the proposed model outperforms the IBM translation models significantly.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computers & Mathematics with Applications - Volume 57, Issues 11–12, June 2009, Pages 1724–1729
نویسندگان
, , , ,