| lr,10-1-I05-4010,bq | present our recent work on harvesting <term> | English-Chinese bitexts | </term> of the laws of Hong Kong from the | #8213 In this paper we present our recent work on harvestingEnglish-Chinese bitexts of the laws of Hong Kong from the Web and aligning them to the subparagraph level via utilizing the numbering system in the legal text hierarchy. |
| other,20-1-I05-4010,bq | </term> of the laws of Hong Kong from the <term> | Web | </term> and aligning them to the <term> subparagraph | #8223 In this paper we present our recent work on harvesting English-Chinese bitexts of the laws of Hong Kong from theWeb and aligning them to the subparagraph level via utilizing the numbering system in the legal text hierarchy. |
| other,26-1-I05-4010,bq | Web </term> and aligning them to the <term> | subparagraph | </term> level via utilizing the <term> numbering | #8229 In this paper we present our recent work on harvesting English-Chinese bitexts of the laws of Hong Kong from the Web and aligning them to thesubparagraph level via utilizing the numbering system in the legal text hierarchy. |
| other,31-1-I05-4010,bq | subparagraph </term> level via utilizing the <term> | numbering system | </term> in the <term> legal text hierarchy </term> | #8234 In this paper we present our recent work on harvesting English-Chinese bitexts of the laws of Hong Kong from the Web and aligning them to the subparagraph level via utilizing thenumbering system in the legal text hierarchy. |
| other,35-1-I05-4010,bq | <term> numbering system </term> in the <term> | legal text hierarchy | </term> . Basic methodology and practical | #8238 In this paper we present our recent work on harvesting English-Chinese bitexts of the laws of Hong Kong from the Web and aligning them to the subparagraph level via utilizing the numbering system in thelegal text hierarchy. |
| lr,2-3-I05-4010,bq | reported in detail . The resultant <term> | bilingual corpus | </term> , 10.4 M <term> English words </term> | #8254 The resultantbilingual corpus, 10.4M English words and 18.3M Chinese characters, is an authoritative and comprehensive text collection covering the specific and special domain of HK laws. |
| other,7-3-I05-4010,bq | <term> bilingual corpus </term> , 10.4 M <term> | English words | </term> and 18.3 M <term> Chinese characters | #8259 The resultant bilingual corpus, 10.4MEnglish words and 18.3M Chinese characters, is an authoritative and comprehensive text collection covering the specific and special domain of HK laws. |
| other,12-3-I05-4010,bq | <term> English words </term> and 18.3 M <term> | Chinese characters | </term> , is an authoritative and comprehensive | #8264 The resultant bilingual corpus, 10.4M English words and 18.3MChinese characters, is an authoritative and comprehensive text collection covering the specific and special domain of HK laws. |
| lr,20-3-I05-4010,bq | an authoritative and comprehensive <term> | text collection | </term> covering the specific and special | #8272 The resultant bilingual corpus, 10.4M English words and 18.3M Chinese characters, is an authoritative and comprehensivetext collection covering the specific and special domain of HK laws. |
| other,5-4-I05-4010,bq | laws . It is particularly valuable to <term> | empirical MT research | </term> . This piece of work has also laid | #8289 It is particularly valuable toempirical MT research. |
| lr,13-5-I05-4010,bq | foundation for exploring and harvesting <term> | English-Chinese bitexts | </term> in a larger volume from the <term> | #8306 This piece of work has also laid a foundation for exploring and harvestingEnglish-Chinese bitexts in a larger volume from the Web. |
| other,21-5-I05-4010,bq | </term> in a larger volume from the <term> | Web | </term> . The task of <term> machine translation | #8314 This piece of work has also laid a foundation for exploring and harvesting English-Chinese bitexts in a larger volume from theWeb. |
