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Moses - statistical machine translation system
Copyright (C) 2006-2011 University of Edinburgh
This library is free software; you can redistribute it and/or
modify it under the terms of the GNU Lesser General Public
License as published by the Free Software Foundation; either
version 2.1 of the License, or (at your option) any later version.
This library is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
Lesser General Public License for more details.
You should have received a copy of the GNU Lesser General Public
License along with this library; if not, write to the Free Software
Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA
***********************************************************************/
#pragma once
#ifndef EXTRACT_GHKM_COMPOSED_RULE_H_
#define EXTRACT_GHKM_COMPOSED_RULE_H_
#include <vector>
#include <queue>
#include "Subgraph.h"
namespace MosesTraining
{
namespace Syntax
{
namespace GHKM
{
class Node;
struct Options;
class ComposedRule
{
public:
// Form a 'trivial' ComposedRule from a single existing rule.
ComposedRule(const Subgraph &baseRule);
// Returns the first open attachment point if any exist or 0 otherwise.
const Node *GetOpenAttachmentPoint();
// Close the first open attachment point without attaching a rule.
void CloseAttachmentPoint();
// Attempts to produce a new composed rule by attaching a given rule at the
// first open attachment point. This will fail if the proposed rule violates
// the constraints set in the Options object, in which case the function
// returns 0.
ComposedRule *AttemptComposition(const Subgraph &, const Options &) const;
// Constructs a Subgraph object corresponding to the composed rule.
Subgraph CreateSubgraph();
private:
ComposedRule(const ComposedRule &, const Subgraph &, int);
const Subgraph &m_baseRule;
std::vector<const Subgraph *> m_attachedRules;
std::queue<const Node *> m_openAttachmentPoints;
int m_depth;
int m_size;
int m_nodeCount;
};
} // namespace GHKM
} // namespace Syntax
} // namespace MosesTraining
#endif
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