EasyCCG is a CCG parser created by Mike Lewis.
If you use EasyCCG in your research, please cite the following paper: A* CCG Parsing with a Supertag-factored Model, Mike Lewis and Mark Steedman, EMNLP 2014
Pre-trained models are available from: https://drive.google.com/#folders/0B7AY6PGZ8lc-NGVOcUFXNU5VWXc To train new models, follow the instructions in training/README
Basic usage: java -jar easyccg.jar --model model
For N-best parsing: java -jar easyccg.jar --model model --nbest 10
To parse questions, use: java -jar easyccg.jar --model model_questions -s -r S[q] S[qem] S[wq]
If you want POS/NER tags in the output, you'll need to supply them in the input, using the format word|POS|NER. To get this format from the C&C tools, use the following: echo "parse me" | candc/bin/pos --model candc_models/pos | candc/bin/ner -model candc_models/ner -ofmt "%w|%p|%n \n" | java -jar easyccg.jar -model model_questions -i POSandNERtagged -o extended
To get Boxer-compatible Prolog output, use: echo "parse me" | candc/bin/pos --model candc_models/pos | candc/bin/ner -model candc_models/ner -ofmt "%w|%p|%n \n" | java -jar easyccg.jar -model model -i POSandNERtagged -o prolog -r S[dcl]