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A python library that makes AMR parsing, generation and visualization simple. amrlib is a python module designed to make processing for Abstract Meaning Representation (AMR) simple by providing the following functions. Sentence to Graph (StoG) parsing to create AMR graphs from English sentences. Graph to Sentence (GtoS) generation for turning AMR graphs into English sentences. A QT-based GUI to facilitate the conversion of sentences to graphs and back to sentences. Methods to plot AMR graphs in both the GUI and as library functions. Training and test code for both the StoG and GtoS models. A SpaCy extension that allows direct conversion of SpaCy Docs and Spans to AMR graphs. Sentence to Graph alignment routines FAA_Aligner (Fast_Align Algorithm), based on the ISI aligner code detailed in this paper. RBW_Aligner (Rule Based Word) for a simple, single token to single node alignment.
Features
- Sentence to Graph (StoG) parsing to create AMR graphs from English sentences
- Methods to plot AMR graphs in both the GUI and as library functions
- Training and test code for both the StoG and GtoS models
- Sentence to Graph alignment routines
- A QT based GUI to facilitate conversion of sentences to graphs and back to sentences
- Graph to Sentence (GtoS) generation for turning AMR graphs into English sentences
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