This Perl extension is designed to tag terms within a corpus, making it a useful tool for text analysis and topic identification. Its functionality allows for efficient and accurate term identification within large datasets.
Alvis::TermTagger is a useful Perl extension for efficiently tagging terms in a corpus. This module is mainly used within the Alvis NLP Platform, and users can easily incorporate it by following its easy-to-use SYNOPSIS.
To start using Alvis::TermTagger, users need to provide two inputs. First, a corpus, which should be given on the STDIN and must be a file containing one sentence per line. Second, a term list ($termlist) is required, which is a file containing one term per line.
Users can add additional information such as canonical form or semantic tag after the first column, which can be separated by either a column or a vertical bar. Once the tagging is completed, the output containing sentence number, term, and additional information will be saved in an output file ($outputfile).
Overall, Alvis::TermTagger is a reliable and efficient tool for tagging terms in a corpus, providing accurate and comprehensive results. With its easy-to-use interface and versatile tagging options, this software is a great choice for any NLP project.
To start using Alvis::TermTagger, users need to provide two inputs. First, a corpus, which should be given on the STDIN and must be a file containing one sentence per line. Second, a term list ($termlist) is required, which is a file containing one term per line.
Users can add additional information such as canonical form or semantic tag after the first column, which can be separated by either a column or a vertical bar. Once the tagging is completed, the output containing sentence number, term, and additional information will be saved in an output file ($outputfile).
Overall, Alvis::TermTagger is a reliable and efficient tool for tagging terms in a corpus, providing accurate and comprehensive results. With its easy-to-use interface and versatile tagging options, this software is a great choice for any NLP project.
What's New
Version 0.5: N/A