The application of explicit semantic analysis in translation memory systems
Although translation memory systems have become one of the most important computer-assisted translation tools, the development of systems able to retrieve Translation Memory (TM) files on the basis of semantic similarity has hitherto been limited. In this study, we investigate the use of Explicit Semantic Analysis (ESA), a semantic similarity measure that represents meanings in natural language texts by using knowledge bases such as Wikipedia, as a possible solution to this problem. While ESA may be used to improve TM systems, at present the evaluation of semantic processing techniques in the context of TM is not fully developed because the use of semantic similarity measures in TM systems has been limited. The study hence aims to evaluate ESA for its specific application in TM systems. The evaluation is performed within a knowledge management framework as this provides a suitable technical context. A software platform called the ESA Information Retrieval platform was designed to test the performance of ESA in TM system tasks using three different text genres: technical reports, popular scientific articles and financial texts. The aim of the evaluation was not only to improve our understanding of how ESA can
Wang, Oumai
The application of explicit semantic analysis in translation memory systems. Although translation memory systems have become one of the most important computer-assisted translation tools, the development of systems able to retrieve Translation Memory (TM) files on the basis of semantic similarity has hitherto been limited. In this study, we investigate the use of Explicit Semantic Analysis (ESA), a semantic similarity measure that represents meanings in natural language texts by using knowledge bases such as Wikipedia, as a possible solution to this problem. While ESA may be used to improve TM systems, at present the evaluation of semantic processing techniques in the context of TM is not fully developed because the use of semantic similarity measures in TM systems has been limited. The study hence aims to evaluate ESA for its specific application in TM systems. The evaluation is performed within a knowledge management framework as this provides a suitable technical context. A software platform called the ESA Information Retrieval platform was designed to test the performance of ESA in TM system tasks using three different text genres: technical reports, popular scientific articles and financial texts. The aim of the evaluation was not only to improve our understanding of how ESA can
application explicit semantic_analysis translation memory system although translation memory system become one_important computer_assisted translation_tool development system able retrieve translation memory file basis semantic similarity hitherto limit study_investigate use explicit semantic_analysis semantic similarity measure represent meaning natural_language text use knowledge base possible_solution problem may_use improve system present evaluation semantic processing technique context fully_develop use semantic similarity measure system limit study hence aim_evaluate specific application system evaluation perform within knowledge management framework provide suitable technical context software platform call information retrieval platform design_test performance system task use three_different text genre technical report popular scientific article financial text aim evaluation improve