Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Translation retrieval aims to find the most likely translation among a set of target-language strings for a given source-language string. Previous studies consider the single-best translation as a query for information retrieval, which may result in translation error propagation. To alleviate this problem,  propose to use the query lattice, which is a compact representation of exponentially many queries containing translation alternatives.  verified the effectiveness of query lattice through experiments, where our method explores a much larger search space (from 1 query to 1.24◊ 10 62 queries), runs much faster (from 0.75 to 0.13 second per sentence), and retrieves more accurately (from 83.76% to 93.16% in precision) than the standard method based on the query single-best. In addition,  show that query lattice significantly outperforms the method of (Munteanu and Marcu, 2005) on the task of parallel sentence mining from comparable corpora.
['Meiping Dong', 'Yong Cheng', 'Yang Liu', 'Jia Xu', 'Maosong Sun', 'Tatsuya Izuha', 'Jie Hao']
I am writing a research paper on a idea Query Lattice for Translation Retrieval
[{"from": "human", "value": "I am writing a research paper on a idea Query Lattice for Translation Retrieval"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Translation retrieval aims to find the most likely translation among a set of target-language strings for a given source-language string. Previous studies consider the single-best translation as a query for information retrieval, which may result in translation error propagation. To alleviate this problem,  propose to use the query lattice, which is a compact representation of exponentially many queries containing translation alternatives.  verified the effectiveness of query lattice through experiments, where our method explores a much larger search space (from 1 query to 1.24\u25ca 10 62 queries), runs much faster (from 0.75 to 0.13 second per sentence), and retrieves more accurately (from 83.76% to 93.16% in precision) than the standard method based on the query single-best. In addition,  show that query lattice significantly outperforms the method of (Munteanu and Marcu, 2005) on the task of parallel sentence mining from comparable corpora."}]