| tech,1-1-P01-1008,ak | English grammar </term> are given . While <term> | paraphrasing | </term> is critical both for <term> interpretation | #1755 Whileparaphrasing is critical both for interpretation and generation of natural language, current systems use manual or semi-automatic methods to collect paraphrases. | |
| tech,6-1-P01-1008,ak | paraphrasing </term> is critical both for <term> | interpretation and generation of natural language | </term> , current systems use <term> manual | #1760 While paraphrasing is critical both forinterpretation and generation of natural language, current systems use manual or semi-automatic methods to collect paraphrases. | |
| tech,16-1-P01-1008,ak | language </term> , current systems use <term> | manual or semi-automatic methods | </term> to collect <term> paraphrases </term> | #1770 While paraphrasing is critical both for interpretation and generation of natural language, current systems usemanual or semi-automatic methods to collect paraphrases. | |
| other,22-1-P01-1008,ak | semi-automatic methods </term> to collect <term> | paraphrases | </term> . We present an <term> unsupervised | #1776 While paraphrasing is critical both for interpretation and generation of natural language, current systems use manual or semi-automatic methods to collectparaphrases. | |
| tech,3-2-P01-1008,ak | <term> paraphrases </term> . We present an <term> | unsupervised learning algorithm | </term> for <term> identification of paraphrases | #1781 We present anunsupervised learning algorithm for identification of paraphrases from a corpus of multiple English translations of the same source text. | |
| tech,7-2-P01-1008,ak | unsupervised learning algorithm </term> for <term> | identification of paraphrases | </term> from a <term> corpus of multiple English | #1785 We present an unsupervised learning algorithm foridentification of paraphrases from a corpus of multiple English translations of the same source text. | |
| lr,12-2-P01-1008,ak | identification of paraphrases </term> from a <term> | corpus of multiple English translations | </term> of the same <term> source text </term> | #1790 We present an unsupervised learning algorithm for identification of paraphrases from acorpus of multiple English translations of the same source text. | |
| other,20-2-P01-1008,ak | English translations </term> of the same <term> | source text | </term> . Our approach yields <term> phrasal | #1798 We present an unsupervised learning algorithm for identification of paraphrases from a corpus of multiple English translations of the samesource text. | |
| other,3-3-P01-1008,ak | source text </term> . Our approach yields <term> | phrasal and single word lexical paraphrases | </term> as well as <term> syntactic paraphrases | #1804 Our approach yieldsphrasal and single word lexical paraphrases as well as syntactic paraphrases. | |
| other,12-3-P01-1008,ak | lexical paraphrases </term> as well as <term> | syntactic paraphrases | </term> . This paper presents a formal analysis | #1813 Our approach yields phrasal and single word lexical paraphrases as well assyntactic paraphrases. |
