Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Word alignment is a basic and critical process in the Statistical Machine Translation (SMT). The previous work on word alignment mainly focuses on the training process to get the word mapping relation beten the source sentences and target sentences. Hover, the word alignment for combination of SMT system outputs is also important, which aims to find the word correspondence beten alternative translation hypotheses of a source language sentence. Unfortunately, it does not attract so much attention in SMT research. ,  propose a novel word alignment approach to effectively address the word alignment beten sentences with different valid word orders, which changes the order of the word sequences (called word reordering) of the output hypotheses to make the word order more exactly match the alignment reference.  present experimental results on the IWSLT'2008 challenge tasks with the combination of four state-of-the-art SMT systems outputs. The results show that our approach significantly improves the performance of the system combination.
['Maoxi Li', 'Chengqing Zong']
I am writing a research paper on a idea Word Reordering Alignment for Combination of Statistical Machine Translation Systems
[{"from": "human", "value": "I am writing a research paper on a idea Word Reordering Alignment for Combination of Statistical Machine Translation Systems"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Word alignment is a basic and critical process in the Statistical Machine Translation (SMT). The previous work on word alignment mainly focuses on the training process to get the word mapping relation beten the source sentences and target sentences. Hover, the word alignment for combination of SMT system outputs is also important, which aims to find the word correspondence beten alternative translation hypotheses of a source language sentence. Unfortunately, it does not attract so much attention in SMT research. ,  propose a novel word alignment approach to effectively address the word alignment beten sentences with different valid word orders, which changes the order of the word sequences (called word reordering) of the output hypotheses to make the word order more exactly match the alignment reference.  present experimental results on the IWSLT'2008 challenge tasks with the combination of four state-of-the-art SMT systems outputs. The results show that our approach significantly improves the performance of the system combination."}]