Here is an overview of the natural language processing software currently used for the automatic annotation of the Parallel Meaning Bank:

  • elephant is the statistical tool for word and sentence segmentation used in the PMB;

  • We use morpha for morphological analysis;

  • We also use an in-house developed semantic tagger based on deep learning;

  • The EasyCCG parser is employed for syntactic parsing;

  • Further included in the pipeline is Boxer which produces semantic representations (DRS) on top of the CCG parse trees.