Source code for graphbrain.meaning.lemmas

import graphbrain.constants as const

[docs]def lemma(hg, atom): """Returns the lemma of the given atom if it exists, None otherwise.""" if atom.is_atom(): for lemma_edge in, atom, '*')): return lemma_edge[2] return None
[docs]def deep_lemma(hg, edge): """Returns the lemma of an atomic edge, or the lemma of the first atom found by recursively descending the hyperedge, always choosing the subedge immediatly after the connector. This is useful, for example, to find the lemma of the central verb in a non-atomic predicate edge. For example: (not/a (is/a going/p)) could return go/p """ if edge.is_atom(): for lemma_edge in, edge, '*')): return lemma_edge[2] return edge else: return deep_lemma(hg, edge[1])
[docs]def lemma_degrees(hg, edge): """Finds all the atoms that share the same given lemma and computes the sum of both their degrees and deep degrees. These two sums are returned. If the parameter edge is non-atomic, this function simply returns the degree and deep degree of that edge. """ if edge.is_atom(): roots = {edge.root()} # find lemma for edge in, edge, '*')): roots.add(edge[2].root()) # compute degrees d = 0 dd = 0 for r in roots: atoms = set(hg.atoms_with_root(r)) d += sum([ for atom in atoms]) dd += sum([hg.deep_degree(atom) for atom in atoms]) return d, dd else: return, hg.deep_degree(edge)