Hello, OpenNLP community: I have trouble with the conversion between python brat annotation tool to OpenNLP.
I would like to create a custom model in Japanese that can be used by OpenNLP. Currently, I have xxx.ann file (which I annotated using python brat), xxx.txt (which is the original NL document) file, and an annotation configuration file. And reading this answer ( https://stackoverflow.com/questions/39877434/creating-and-training-a-model-for-opennlp-using-brat), I have tried the following command. opennlp TokenNameFinderTrainer.brat -bratDataDir nlp_data/ -annotationConfig exercise/brat-1.3_Crunchy_Frog/annotation.conf -moel output_model.bin -lang ja (nlp_data is a directory where ann and txt files are stored.) Eventually, the execution ended up with the following console output. Training data summary: #Sentences: 8030 #Tokens: 11953 #LOCATION entities: 28 #PERSON entities: 52 #VEHICLE entities: 14 #FACILITY entities: 88 #PLAN entities: 7 #EVENT_OTHER entities: 4 #EVENT entities: 20 #FACILITY_OTHER entities: 2 #ORGANIZATION entities: 59 #DATETIME entities: 110 #PRINTING entities: 8 #PRODUCT entities: 186 #TITLE entities: 7 #ACCESS entities: 255 #FOOD entities: 19 Writing name finder model ... Compressed 52591 parameters to 10192 427 outcome patterns done (0.375s) Wrote name finder model to path: /home/vagrant/output_model.bin but when I used the output_model.bin file with the command below, it does not give named entities, responding like below. ```sh opennlp TokenNameFinder output_model.bin Loading Token Name Finder model ... done (0.132s)スティーブ ジョブスは偉い人 (my input) $スティーブジョブスは偉い人 (output) スティーブジョブスは偉い人 ``` So, my questions are: Did I take the wrong steps? If I did badly, how should I use xxx.ann file to make a custom model in OpenNLP? Any help will be appreciated. Sincerely, Kaya Ota
