| other,7-1-H05-1005,bq | </term> . In this paper , we use the <term> | information redundancy | </term> in <term> multilingual input </term> | #7132 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,10-1-H05-1005,bq | <term> information redundancy </term> in <term> | multilingual input | </term> to correct errors in <term> machine | #7135 In this paper, we use the information redundancy inmultilingual input to correct errors in machine translation and thus improve the quality of multilingual summaries. |
| other,16-1-H05-1005,bq | multilingual input </term> to correct errors in <term> | machine translation | </term> and thus improve the quality of <term> | #7141 In this paper, we use the information redundancy in multilingual input to correct errors inmachine translation and thus improve the quality of multilingual summaries. |
| other,24-1-H05-1005,bq | </term> and thus improve the quality of <term> | multilingual summaries | </term> . We consider the case of <term> multi-document | #7149 In this paper, we use the information redundancy in multilingual input to correct errors in machine translation and thus improve the quality ofmultilingual summaries. |
| tech,5-2-H05-1005,bq | summaries </term> . We consider the case of <term> | multi-document summarization | </term> , where the input <term> documents </term> | #7157 We consider the case ofmulti-document summarization, where the input documents are in Arabic, and the output summary is in English. |
| other,11-2-H05-1005,bq | summarization </term> , where the input <term> | documents | </term> are in <term> Arabic </term> , and the | #7163 We consider the case of multi-document summarization, where the inputdocuments are in Arabic, and the output summary is in English. |
| other,14-2-H05-1005,bq | input <term> documents </term> are in <term> | Arabic | </term> , and the output <term> summary </term> | #7166 We consider the case of multi-document summarization, where the input documents are inArabic, and the output summary is in English. |
| other,19-2-H05-1005,bq | <term> Arabic </term> , and the output <term> | summary | </term> is in <term> English </term> . Typically | #7171 We consider the case of multi-document summarization, where the input documents are in Arabic, and the outputsummary is in English. |
| other,22-2-H05-1005,bq | the output <term> summary </term> is in <term> | English | </term> . Typically , information that makes | #7174 We consider the case of multi-document summarization, where the input documents are in Arabic, and the output summary is inEnglish. |
| other,8-3-H05-1005,bq | Typically , information that makes it to a <term> | summary | </term> appears in many different <term> lexical-syntactic | #7184 Typically, information that makes it to asummary appears in many different lexical-syntactic forms in the input documents. |
| other,13-3-H05-1005,bq | summary </term> appears in many different <term> | lexical-syntactic forms | </term> in the input <term> documents </term> | #7189 Typically, information that makes it to a summary appears in many differentlexical-syntactic forms in the input documents. |
| other,18-3-H05-1005,bq | lexical-syntactic forms </term> in the input <term> | documents | </term> . Further , the use of multiple <term> | #7194 Typically, information that makes it to a summary appears in many different lexical-syntactic forms in the inputdocuments. |
| tech,6-4-H05-1005,bq | </term> . Further , the use of multiple <term> | machine translation systems | </term> provides yet more <term> redundancy | #7202 Further, the use of multiplemachine translation systems provides yet more redundancy, yielding different ways to realize that information in English. |
| other,12-4-H05-1005,bq | translation systems </term> provides yet more <term> | redundancy | </term> , yielding different ways to realize | #7208 Further, the use of multiple machine translation systems provides yet moreredundancy, yielding different ways to realize that information in English. |
| other,20-4-H05-1005,bq | yielding different ways to realize that <term> | information | </term> in <term> English </term> . We demonstrate | #7216 Further, the use of multiple machine translation systems provides yet more redundancy, yielding different ways to realize thatinformation in English. |
| other,22-4-H05-1005,bq | realize that <term> information </term> in <term> | English | </term> . We demonstrate how errors in the | #7218 Further, the use of multiple machine translation systems provides yet more redundancy, yielding different ways to realize that information inEnglish. |
| other,6-5-H05-1005,bq | . We demonstrate how errors in the <term> | machine translations | </term> of the input <term> Arabic documents | #7226 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,11-5-H05-1005,bq | machine translations </term> of the input <term> | Arabic documents | </term> can be corrected by identifying and | #7231 We demonstrate how errors in the machine translations of the inputArabic documents can be corrected by identifying and generating from such redundancy, focusing on noun phrases. |
| other,22-5-H05-1005,bq | identifying and generating from such <term> | redundancy | </term> , focusing on <term> noun phrases </term> | #7242 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,bq | <term> redundancy </term> , focusing on <term> | noun phrases | </term> . This paper presents a <term> maximum | #7246 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. |
