Conceptual analysis of parallel corpus collected from the Web.
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| Title: | Conceptual analysis of parallel corpus collected from the Web. |
|---|---|
| Authors: | Li KW (AUTHOR), Yang CC (AUTHOR) |
| Source: | Journal of the American Society for Information Science & Technology. Mar2006, Vol. 57 Issue 5, p632-644. 13p. |
| Abstract: | As illustrated by the World Wide Web, the volume of information in languages other than English has grown significantly in recent years. This highlights the importance of multilingual corpora. Much effort has been devoted to the compilation of multilingual corpora for the purpose of cross-lingual information retrieval and machine translation. Existing parallel corpora mostly involve European languages, such as English-French and English-Spanish. There is still a lack of parallel corpora between European languages and Asian languages. In the authors' previous work, an alignment method to identify one-to-one Chinese and English title pairs was developed to construct an English-Chinese parallel corpus that works automatically from the World Wide Web, and a 100% precision and 87% recall were obtained. Careful analysis of these results has helped the authors to understand how the alignment method can be improved. A conceptual analysis was conducted, which includes the analysis of conceptual equivalent and conceptual information alternation in the aligned and nonaligned English-Chinese title pairs that are obtained by the alignment method. The result of the analysis not only reflects the characteristics of parallel corpora, but also gives insight into the strengths and weaknesses of the alignment method. In particular, conceptual alternation, such as omission and addition, is found to have a significant impact on the performance of the alignment method. [ABSTRACT FROM AUTHOR] |
| Copyright of Journal of the American Society for Information Science & Technology is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| URL: | 19901247 |
| Database: | Engineering Source |
| FullText | Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 106140098 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=106140098 |
| RecordInfo | BibRecord: BibEntity: Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 13 StartPage: 632 Titles: – TitleFull: Conceptual analysis of parallel corpus collected from the Web. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Li KW – PersonEntity: Name: NameFull: Yang CC IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 03 Text: Mar2006 Type: published Y: 2006 Identifiers: – Type: issn-print Value: 15322882 Numbering: – Type: volume Value: 57 – Type: issue Value: 5 Titles: – TitleFull: Journal of the American Society for Information Science & Technology Type: main |
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