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60e56efc6b
And remove some (near-)duplicate code from pcfg-common and score-stsg.
54 lines
1.8 KiB
C++
54 lines
1.8 KiB
C++
/***********************************************************************
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Moses - statistical machine translation system
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Copyright (C) 2006-2012 University of Edinburgh
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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 "rule_extractor.h"
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#include "pcfg-common/pcfg_tree.h"
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namespace MosesTraining {
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namespace Syntax {
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namespace PCFG {
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RuleExtractor::RuleExtractor(Vocabulary &non_term_vocab)
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: non_term_vocab_(non_term_vocab) {
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}
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void RuleExtractor::Extract(const PcfgTree &tree, RuleCollection &rc) const {
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if (tree.IsPreterminal() || tree.IsLeaf()) {
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return;
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}
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std::size_t lhs = non_term_vocab_.Insert(tree.label());
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std::vector<std::size_t> rhs;
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const std::vector<PcfgTree *> &children = tree.children();
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rhs.reserve(children.size());
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for (std::vector<PcfgTree *>::const_iterator p(children.begin());
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p != children.end(); ++p) {
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const PcfgTree &child = **p;
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rhs.push_back(non_term_vocab_.Insert(child.label()));
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Extract(child, rc);
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}
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rc.Add(lhs, rhs);
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}
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} // namespace PCFG
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} // namespace Syntax
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} // namespace MosesTraining
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