Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  present the results  obtain using our RegMT system, which uses transductive regression techniques to learn mappings beten source and target features of given parallel corpora and use these mappings to generate machine translation outputs. Our training instance selection methods perform feature decay for proper selection of training instances, which plays an important role to learn correct feature mappings. RegMT uses L2 regularized regression as ll as L1 regularized regression for sparse regression estimation of target features.  present translation results using our training instance selection methods, translation results using graph decoding, system combination results with RegMT, and performance evaluation with the F1 measure over target features as a metric for evaluating translation quality.
['Ergun Bicici', 'Deniz Yuret']
I am writing a research paper on a idea RegMT System for Machine Translation, System Combination, and Evaluation
[{"from": "human", "value": "I am writing a research paper on a idea RegMT System for Machine Translation, System Combination, and Evaluation"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  present the results  obtain using our RegMT system, which uses transductive regression techniques to learn mappings beten source and target features of given parallel corpora and use these mappings to generate machine translation outputs. Our training instance selection methods perform feature decay for proper selection of training instances, which plays an important role to learn correct feature mappings. RegMT uses L2 regularized regression as ll as L1 regularized regression for sparse regression estimation of target features.  present translation results using our training instance selection methods, translation results using graph decoding, system combination results with RegMT, and performance evaluation with the F1 measure over target features as a metric for evaluating translation quality."}]