Java Suffix array library for phrase discovery. Inspired initially by the classic paper of Yamamoto & Church, with newer ideas from Abouelhoda et al and Kim et al. Adapted for large alphabet so that words can be tokenized as alphabet characters.
Features
- Adapted to large alphabet for NLP
- Includes tokenizers, normalizers and symbol table.
- Calculates term and document frequency; full distribution across texts
- Modular design, user can apply various statistics to phrases
- Includes Aho Corasick automaton, also for large alphabet
- Needs: Better sorting, though radix qsort usually works okay
- Needs: improvement to the symbol table. This is the slowest part.
- Needs: Tokenizers, normalizers for more languages.
- Needs: Some links to foma (foma.sourceforge.net/)
License
Apache Software LicenseFollow suffix arrays for phrase extraction
Other Useful Business Software
Build Securely on Azure with Proven Frameworks
Moving to the cloud brings new challenges. How can you manage a larger attack surface while ensuring great network performance? Turn to Fortinet’s Tested Reference Architectures, blueprints for designing and securing cloud environments built by cybersecurity experts. Learn more and explore use cases in this white paper.
Rate This Project
Login To Rate This Project
User Reviews
Be the first to post a review of suffix arrays for phrase extraction!