A node-based command–line interface for QUAESITOR.
QUAESITOR locates Latin scientific names in Chinese, Czech, Danish, Dutch, English, French, German, Italian, Japanese, Latin, Norwegian, Polish, Portuguese, Russian, Spanish, and Swedish text (approximately 96% of biodiversity titles). It uses a combination of pattern matching (regular expressions), a Bloom filter, and a trio of complementary ensembled neural networks. A live version of the web interface is hosted at the New York Botanical Garden.
npm install quaesitor-cli
ln -s node_modules/quaesitor-cli/dist/index.js quaesitorDue to the way @tensorflow/tfjs-node installs, using the ‘-g’ (‘--global’) option, does not work on many systems. The local npm install, shown above, was tested on Ubuntu 20.04 (node v12.20.1) and MacOS 10.14 (node v12.16.1).
### file in + file out
quaesitor [ -h ] -i input-file.txt -o output-file
### file in + stream out
quaesitor [ -h ] -i input-file.txt | program
### stream in + file out
cat input-file.txt | quaesitor [ -h ] -o output-file
### stream in + stream out
cat input-file.txt | quaesitor [ -h ] | programecho 'Text with one or more Latin Scientific names, such as Cupressus funebris Endl., embedded within it.' | quaesitor
### should output 'Cupressus funebris'If you use this software, please cite: Little, D.P. 2020. Recognition of Latin scientific names using artificial neural networks. Applications in Plant Sciences 8(7): e11378.