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110 lines
3.3 KiB
C++
110 lines
3.3 KiB
C++
// $Id$
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// vim:tabstop=2
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/***********************************************************************
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Moses - factored phrase-based language decoder
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Copyright (C) 2010 Hieu Hoang
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This library is free software; you can redistribute it and/or
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modify it under the terms of the GNU Lesser General Public
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License as published by the Free Software Foundation; either
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version 2.1 of the License, or (at your option) any later version.
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This library is distributed in the hope that it will be useful,
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but WITHOUT ANY WARRANTY; without even the implied warranty of
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MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
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Lesser General Public License for more details.
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You should have received a copy of the GNU Lesser General Public
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License along with this library; if not, write to the Free Software
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Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA
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***********************************************************************/
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#include "ChartCell.h"
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#include "ChartCellCollection.h"
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#include "ChartTranslationOptions.h"
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#include "RuleCube.h"
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#include "RuleCubeQueue.h"
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#include "StaticData.h"
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#include "Util.h"
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#include "WordsRange.h"
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#include <boost/functional/hash.hpp>
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using namespace std;
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namespace Moses
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{
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extern bool g_mosesDebug;
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// initialise the RuleCube by creating the top-left corner item
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RuleCube::RuleCube(const ChartTranslationOptions &transOpt,
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const ChartCellCollection &allChartCells,
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ChartManager &manager)
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: m_transOpt(transOpt)
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{
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RuleCubeItem *item = new RuleCubeItem(transOpt, allChartCells);
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m_covered.insert(item);
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if (StaticData::Instance().GetCubePruningLazyScoring()) {
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item->EstimateScore();
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} else {
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item->CreateHypothesis(transOpt, manager);
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}
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m_queue.push(item);
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}
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RuleCube::~RuleCube()
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{
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RemoveAllInColl(m_covered);
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}
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RuleCubeItem *RuleCube::Pop(ChartManager &manager)
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{
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RuleCubeItem *item = m_queue.top();
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m_queue.pop();
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CreateNeighbors(*item, manager);
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return item;
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}
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// create new RuleCube for neighboring principle rules
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void RuleCube::CreateNeighbors(const RuleCubeItem &item, ChartManager &manager)
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{
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// create neighbor along translation dimension
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const TranslationDimension &translationDimension =
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item.GetTranslationDimension();
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if (translationDimension.HasMoreTranslations()) {
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CreateNeighbor(item, -1, manager);
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}
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// create neighbors along all hypothesis dimensions
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for (size_t i = 0; i < item.GetHypothesisDimensions().size(); ++i) {
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const HypothesisDimension &dimension = item.GetHypothesisDimensions()[i];
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if (dimension.HasMoreHypo()) {
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CreateNeighbor(item, i, manager);
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}
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}
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}
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void RuleCube::CreateNeighbor(const RuleCubeItem &item, int dimensionIndex,
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ChartManager &manager)
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{
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RuleCubeItem *newItem = new RuleCubeItem(item, dimensionIndex);
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std::pair<ItemSet::iterator, bool> result = m_covered.insert(newItem);
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if (!result.second) {
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delete newItem; // already seen it
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} else {
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if (StaticData::Instance().GetCubePruningLazyScoring()) {
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newItem->EstimateScore();
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} else {
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newItem->CreateHypothesis(m_transOpt, manager);
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}
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m_queue.push(newItem);
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}
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}
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std::ostream& operator<<(std::ostream &out, const RuleCube &obj)
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{
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out << obj.GetItemSetSize();
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return out;
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}
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}
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