require 'zipf' require_relative 'grammar' module HG class HG::Node attr_accessor :id, :symbol, :left, :right, :outgoing, :incoming, :score def initialize id=nil, symbol='', span=[-1,-1], outgoing=[], incoming=[], score=nil @id = id @symbol = symbol @left = span[0] @right = span[1] @outgoing = outgoing @incoming = incoming @score = score end def to_s "Node" end end class HG::Hypergraph attr_accessor :nodes, :edges, :nodes_by_id def initialize nodes=[], edges=[], nodes_by_id={} @nodes = nodes @edges = edges @nodes_by_id = nodes_by_id @arity_ = nil end def arity @arity_ = @edges.map { |e| e.arity }.max if !@arity_ return @arity_ end def reset @edges.each { |e| e.mark = 0 } end def to_s "Hypergraph" end def to_json weights=nil json_s = "{\n" json_s += "\"weights\":#{(weights ? weights.to_json : '{}')},\n" json_s += "\"nodes\":\n" json_s += "[\n" json_s += @nodes.map { |n| "{ \"id\":#{n.id}, \"cat\":\"#{n.symbol.to_json.slice(1..-1).chomp('"')}\", \"span\":[#{n.left},#{n.right}] }" }.join ",\n" json_s += "\n],\n" json_s += "\"edges\":\n" json_s += "[\n" json_s += @edges.map { |e| "{ \"head\":#{e.head.id}, \"rule\":#{e.rule.to_json}, \"tails\":#{e.tails.map{ |n| n.id }}, \"f\":#{(e.f ? e.f.to_json : '{}')} }" }.join ",\n" json_s += "\n]\n" json_s += "}\n" return json_s end end class HG::Hyperedge attr_accessor :head, :tails, :score, :f, :mark, :rule def initialize head=Node.new, tails=[], score=0.0, f=SparseVector.new, rule=nil @head = head @tails = tails @score = score @f = f @mark = 0 @rule = (rule.class==String ? Grammar::Rule.from_s(rule) : rule) end def arity return @tails.size end def marked? arity == @mark end def to_s "Hyperedge" end end def HG::topological_sort nodes sorted = [] s = nodes.reject { |n| !n.incoming.empty? } while !s.empty? sorted << s.shift sorted.last.outgoing.each { |e| next if e.marked? e.mark += 1 s << e.head if e.head.incoming.reject{ |f| f.mark==f.arity }.empty? } end return sorted end def HG::init nodes, semiring, root nodes.each { |n| n.score=semiring.null } root.score = semiring.one end def HG::viterbi hypergraph, root, semiring=ViterbiSemiring.new toposorted = topological_sort hypergraph.nodes init toposorted, semiring, root toposorted.each { |n| n.incoming.each { |e| s = semiring.one e.tails.each { |m| s = semiring.multiply.call(s, m.score) } n.score = semiring.add.call(n.score, semiring.multiply.call(s, e.score)) } } end def HG::viterbi_path hypergraph, root, semiring=ViterbiSemiring.new toposorted = topological_sort hypergraph.nodes init toposorted, semiring, root best_path = [] toposorted.each { |n| best_edge = nil n.incoming.each { |e| s = semiring.one e.tails.each { |m| s = semiring.multiply.call(s, m.score) } if n.score < semiring.multiply.call(s, e.score) # ViterbiSemiring add best_edge = e end n.score = semiring.add.call(n.score, semiring.multiply.call(s, e.score)) } best_path << best_edge if best_edge } return best_path, toposorted.last.score end def HG::k_best hypergraph, root, semiring=nil #TODO end def HG::all_paths hypergraph, root toposorted = topological_sort hypergraph.nodes paths = [[]] toposorted.each { |n| next if n.incoming.empty? new_paths = [] while !paths.empty? p = paths.pop n.incoming.each { |e| new_paths << p+[e] } end paths = new_paths } return paths end def HG::derive path, cur, carry edge = path.select { |e| e.head.symbol==cur.symbol \ && e.head.left==cur.left \ && e.head.right==cur.right }.first j = 0 edge.rule.target.each { |i| if i.class == Grammar::NT derive path, edge.tails[edge.rule.map[j]], carry j += 1 else carry << i end } return carry end def HG::read_hypergraph_from_json fn, semiring=RealSemiring.new, log_weights=false nodes = [] edges = [] nodes_by_id = {} h = JSON.parse File.new(fn).read w = SparseVector.from_h h['weights'] h['nodes'].each { |x| n = Node.new x['id'], x['symbol'], x['span'] nodes << n nodes_by_id[n.id] = n } h['edges'].each { |x| e = Hyperedge.new(nodes_by_id[x['head']], \ x['tails'].map { |j| nodes_by_id[j] }.to_a, \ (x['score'] ? semiring.convert.call(x['score'].to_f) : nil), \ (x['f'] ? SparseVector.from_h(x['f']) : SparseVector.new), \ x['rule']) if x['f'] if log_weights e.score = Math.exp(w.dot(e.f)) else e.score = w.dot(e.f) end end e.tails.each { |m| m.outgoing << e } e.head.incoming << e edges << e } return Hypergraph.new(nodes, edges), nodes_by_id end end #module