| other,7-1-H05-1005,ak | difference . In this paper , we use the <term> | information redundancy | </term> in multilingual input to correct <term> | #5158 In this paper, we use theinformation redundancy in multilingual input to correct errors in machine translation and thus improve the quality of multilingual summaries. | |
| other,14-1-H05-1005,ak | </term> in multilingual input to correct <term> | errors | </term> in <term> machine translation </term> | #5165 In this paper, we use the information redundancy in multilingual input to correcterrors in machine translation and thus improve the quality of multilingual summaries. | |
| tech,16-1-H05-1005,ak | input to correct <term> errors </term> in <term> | machine translation | </term> and thus improve the quality of multilingual | #5167 In this paper, we use the information redundancy in multilingual input to correct errors inmachine translation and thus improve the quality of multilingual summaries. | |
| tech,5-2-H05-1005,ak | summaries . We consider the case of <term> | multi-document summarization | </term> , where the input documents are in | #5183 We consider the case ofmulti-document summarization, where the input documents are in Arabic, and the output summary is in English. | |
| other,13-3-H05-1005,ak | summary appears in many different <term> | lexical-syntactic forms | </term> in the input documents . Further | #5215 Typically, information that makes it to a summary appears in many differentlexical-syntactic forms in the input documents. | |
| other,12-4-H05-1005,ak | translation systems </term> provides yet more <term> | redundancy | </term> , yielding different ways to realize | #5234 Further, the use of multiple machine translation systems provides yet moreredundancy, yielding different ways to realize that information in English. | |
| other,3-5-H05-1005,ak | information in English . We demonstrate how <term> | errors | </term> in the <term> machine translations </term> | #5249 We demonstrate howerrors in the machine translations of the input Arabic documents can be corrected by identifying and generating from such redundancy, focusing on noun phrases. | |
| other,6-5-H05-1005,ak | demonstrate how <term> errors </term> in the <term> | machine translations | </term> of the input Arabic documents can | #5252 We demonstrate how errors in themachine translations of the input Arabic documents can be corrected by identifying and generating from such redundancy, focusing on noun phrases. | |
| other,22-5-H05-1005,ak | identifying and generating from such <term> | redundancy | </term> , focusing on <term> noun phrases </term> | #5268 We demonstrate how errors in the machine translations of the input Arabic documents can be corrected by identifying and generating from suchredundancy, focusing on noun phrases. | |
| other,26-5-H05-1005,ak | <term> redundancy </term> , focusing on <term> | noun phrases | </term> . This paper presents a <term> maximum | #5272 We demonstrate how errors in the machine translations of the input Arabic documents can be corrected by identifying and generating from such redundancy, focusing onnoun phrases. |
