NDLI: A Comparative Study on Different Translation Approaches for Query Formation in the Source Retrieval Task

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Content Provider	ACM Digital Library
Author	Saha, Sujan Kumar Prakash, Amit
Abstract	The text reuse detection among documents in comparable corpora has become an important research topic due to its usages ranging from document linking to plagiarism detection. A text reuse detection system typically computes similarity between source document and the possibly reused document. Considering the real-world scenario where exhaustive comparison is not possible, the system must first retrieve a subset of documents that serves as the source of similarity computation. But the task becomes more challenging when the language of reused document differs from the source document. In this paper we present a comparative study of different translation approaches used to map the language barrier for cross-lingual retrieval of possible sources of text reuse. We perform our experiments on CL!NSS 2013 dataset. It is observed that machine translation based query formation approach retrieves sources with highest recall. Our system also outperforms the existing systems in the literature.
Starting Page	43
Ending Page	46
Page Count	4
File Format	PDF
ISBN	9781450340045
DOI	10.1145/2838706.2838714
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2015-12-04
Publisher Place	New York
Access Restriction	Subscribed
Content Type	Text
Resource Type	Article

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A Comparative Study on Different Translation Approaches for Query Formation in the Source Retrieval Task