The N-Gram Hypothesis Applied to Matched Sets of Visualized Japanese-English Technical Documents.

Rorvig, Mark; Smith, Michael M.; Uemura, Aya

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ERIC Number: EJ597584

Record Type: CIJE

Publication Date: 1999

Pages: N/A

Abstractor: N/A

ISBN: N/A

ISSN: ISSN-0044-7870

EISSN: N/A

Available Date: N/A

The N-Gram Hypothesis Applied to Matched Sets of Visualized Japanese-English Technical Documents.

Rorvig, Mark; Smith, Michael M.; Uemura, Aya

Proceedings of the ASIS Annual Meeting, v36 p359-64 1999

Shape Recovery Analysis (SHERA), a new visual analytical technique, is applied to the N-Gram hypothesis on matched Japanese-English technical documents. Results reveal compaction in the translation of Japanese subject terms to English subject terms. The biagram approach to the Japanese data yields a remarkable similarity to the matching visualized English texts. (Author/AEF)

Descriptors: Authority Control (Information), Data Analysis, Electronic Text, Indexes, Information Processing, Information Retrieval, Japanese, Languages, Subject Index Terms, Visual Aids

Publication Type: Journal Articles; Reports - Research; Speeches/Meeting Papers

Education Level: N/A

Audience: N/A

Language: English

Sponsor: N/A

Authoring Institution: N/A

Grant or Contract Numbers: N/A

Author Affiliations: N/A

Note: Paper presented at the ASIS (American Society for Information Science) Annual Meeting (62nd, Washington, D.C., October 31-November 4, 1999).