Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Word ordering is among the most important problems in machine translation. ,  describe a general approach to solve this problem in English-Vietnamese- English statistical machine translation. Our model automatically extracts short-range and long-range reordering rules based on part-of-speech tags and alignment information. Our method, therefore, covers both local and global word order, and is more versatile than other methods. To obtain a better set of reordering rules,  omit generated rules if their ight is lor than a threshold α. The experimental results have shown that the translation quality has been improved significantly compared to the distance-based reordering model and comparable to the lexicalized model. Our approach is not only suitable for English-Vietnamese but also for language pairs which have many differences in syntax, such as English-Chinese and Chinese-Vietnamese.
['Nhung T. H. Nguyen', 'Vinh Q. Le', 'Minh-Quoc Nghiem', 'Dien Dinh']
I am writing a research paper on a idea A General Approach for Word Reordering in English-Vietnamese-English Statistical Machine Translation
[{"from": "human", "value": "I am writing a research paper on a idea A General Approach for Word Reordering in English-Vietnamese-English Statistical Machine Translation"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Word ordering is among the most important problems in machine translation. ,  describe a general approach to solve this problem in English-Vietnamese- English statistical machine translation. Our model automatically extracts short-range and long-range reordering rules based on part-of-speech tags and alignment information. Our method, therefore, covers both local and global word order, and is more versatile than other methods. To obtain a better set of reordering rules,  omit generated rules if their ight is lor than a threshold \u03b1. The experimental results have shown that the translation quality has been improved significantly compared to the distance-based reordering model and comparable to the lexicalized model. Our approach is not only suitable for English-Vietnamese but also for language pairs which have many differences in syntax, such as English-Chinese and Chinese-Vietnamese."}]