Internet Archive Scholar

Patapasco: A Python Framework for Cross-Language Information Retrieval Experiments [article]

Cash Costello, Eugene Yang, Dawn Lawrie, James Mayfield
2022

Preserved Fulltext

fulltext thumbnail
Web Archive Capture PDF (79.3 kB)
https://web.archive.org/web/20220128124748/https://arxiv.org/pdf/2201.09996.pdf

A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL. The file type is application/pdf.

While there are high-quality software frameworks for information retrieval experimentation, they do not explicitly support cross-language information retrieval (CLIR). To fill this gap, we have created Patapsco, a Python CLIR framework. This framework specifically addresses the complexity that comes with running experiments in multiple languages. Patapsco is designed to be extensible to many language pairs, to be scalable to large document collections, and to support reproducible experiments
more » ... ven by a configuration file. We include Patapsco results on standard CLIR collections using multiple settings.
doi:10.48550/arxiv.2201.09996 fatcat:wtz3cpo4pbfmdaf5yastorpmxu
Open Access
Citation

Cash Costello, Eugene Yang, Dawn Lawrie, James Mayfield. "Patapasco: A Python Framework for Cross-Language Information Retrieval Experiments." (2022)