/usr/include/torch/LMNGram.h is in libtorch3-dev 3.1-2.2.
This file is owned by root:root, with mode 0o644.
The actual contents of the file can be viewed below.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 | // Copyright (C) 2003--2004 Darren Moore (moore@idiap.ch)
//
// This file is part of Torch 3.1.
//
// All rights reserved.
//
// Redistribution and use in source and binary forms, with or without
// modification, are permitted provided that the following conditions
// are met:
// 1. Redistributions of source code must retain the above copyright
// notice, this list of conditions and the following disclaimer.
// 2. Redistributions in binary form must reproduce the above copyright
// notice, this list of conditions and the following disclaimer in the
// documentation and/or other materials provided with the distribution.
// 3. The name of the author may not be used to endorse or promote products
// derived from this software without specific prior written permission.
//
// THIS SOFTWARE IS PROVIDED BY THE AUTHOR ``AS IS'' AND ANY EXPRESS OR
// IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES
// OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED.
// IN NO EVENT SHALL THE AUTHOR BE LIABLE FOR ANY DIRECT, INDIRECT,
// INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT
// NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
// DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY
// THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
// (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF
// THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
#ifndef LMNGRAM_INC
#define LMNGRAM_INC
#include "general.h"
#include "log_add.h"
#include "LMInteriorLevelWordList.h"
#include "Vocabulary.h"
#include "LMCache.h"
namespace Torch {
/**
This class is the main class for N-gram language modelling.
After language model entries have been added, lookups with full
backoff can be performed.
@author Darren Moore (moore@idiap.ch)
*/
class LMNGram
{
public:
/// The order of the N-Gram
int n ;
Vocabulary *vocab ;
/// The unigram probability entries, 1 for every vocab word.
real *unigrams ;
/// Points to the start of the language model tree structure.
LMInteriorLevelWordList *next_level ;
/// The cache used for fast LM lookup.
LMCache *cache ;
/* Constructors / destructor */
/// Creates an empty N-Gram data structure. 'n_' is the N-gram order.
LMNGram( int n_ , Vocabulary *vocab_ ) ;
virtual ~LMNGram() ;
/* Methods */
/// Adds a new entry to the N-gram.
/// 'order' is the order of the entry (ie. 2 for a bigram entry).
/// The 'words' array needs to be in oldest-word-first order.
/// ([w1 w2 w3] for trigram entry).
/// 'prob' is the log probability for the entry
/// 'bo_wt' is the log back-off weight for the entry. If order is
/// equal to the LMNGram order (n), then 'bo_wt' is ignored.
void addEntry( int order , int *words , real prob , real bo_wt=LOG_ZERO ) ;
/// Finds the N-gram probability of a given word sequence, with full
/// backoff.
/// 'order' is the number of words in the 'words' array.
/// The ordering in 'words' is W3,W2,W1,W4 for a 4-gram query.
/// (ie. for the query : what is P(W4|W1,W2,W3)?)
real getLogProbBackoff( int order , int *words ) ;
#ifdef DEBUG
void outputText() ;
#endif
};
}
#endif
|