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authorChris Dyer <cdyer@allegro.clab.cs.cmu.edu>2013-04-23 19:35:18 -0400
committerChris Dyer <cdyer@allegro.clab.cs.cmu.edu>2013-04-23 19:35:18 -0400
commitc164dc0ed8a32e4095ba1b36495e0f743b8cc1ea (patch)
tree78b81e4c63adfa67adb7b8f80c3e6be87b4a2b2a /extractor/data_array.h
parent0e46089cafa4e8e2f060e370d7afaceeda6b90a9 (diff)
parentd467e14b28085809c31431be0478eb3d9322fe96 (diff)
merge paul's extractor code
Diffstat (limited to 'extractor/data_array.h')
-rw-r--r--extractor/data_array.h110
1 files changed, 110 insertions, 0 deletions
diff --git a/extractor/data_array.h b/extractor/data_array.h
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+#ifndef _DATA_ARRAY_H_
+#define _DATA_ARRAY_H_
+
+#include <string>
+#include <unordered_map>
+#include <vector>
+
+#include <boost/filesystem.hpp>
+
+namespace fs = boost::filesystem;
+using namespace std;
+
+namespace extractor {
+
+enum Side {
+ SOURCE,
+ TARGET
+};
+
+/**
+ * Data structure storing information about a single side of a parallel corpus.
+ *
+ * Each word is mapped to a unique integer (word_id). The data structure holds
+ * the corpus in the numberized format, together with the hash table mapping
+ * words to word_ids. It also holds additional information such as the starting
+ * index for each sentence and, for each token, the index of the sentence it
+ * belongs to.
+ *
+ * Note: This class has features for both the source and target data arrays.
+ * Maybe we can save some memory by having more specific implementations (not
+ * likely to save a lot of memory tough).
+ */
+class DataArray {
+ public:
+ static int NULL_WORD;
+ static int END_OF_LINE;
+ static string NULL_WORD_STR;
+ static string END_OF_LINE_STR;
+
+ // Reads data array from text file.
+ DataArray(const string& filename);
+
+ // Reads data array from bitext file where the sentences are separated by |||.
+ DataArray(const string& filename, const Side& side);
+
+ virtual ~DataArray();
+
+ // Returns a vector containing the word ids.
+ virtual const vector<int>& GetData() const;
+
+ // Returns the word id at the specified position.
+ virtual int AtIndex(int index) const;
+
+ // Returns the original word at the specified position.
+ virtual string GetWordAtIndex(int index) const;
+
+ // Returns the size of the data array.
+ virtual int GetSize() const;
+
+ // Returns the number of distinct words in the data array.
+ virtual int GetVocabularySize() const;
+
+ // Returns whether a word has ever been observed in the data array.
+ virtual bool HasWord(const string& word) const;
+
+ // Returns the word id for a given word or -1 if it the word has never been
+ // observed.
+ virtual int GetWordId(const string& word) const;
+
+ // Returns the word corresponding to a particular word id.
+ virtual string GetWord(int word_id) const;
+
+ // Returns the number of sentences in the data.
+ virtual int GetNumSentences() const;
+
+ // Returns the index where the sentence containing the given position starts.
+ virtual int GetSentenceStart(int position) const;
+
+ // Returns the length of the sentence.
+ virtual int GetSentenceLength(int sentence_id) const;
+
+ // Returns the number of the sentence containing the given position.
+ virtual int GetSentenceId(int position) const;
+
+ // Writes data array to file in binary format.
+ void WriteBinary(const fs::path& filepath) const;
+
+ // Writes data array to file in binary format.
+ void WriteBinary(FILE* file) const;
+
+ protected:
+ DataArray();
+
+ private:
+ // Sets up specific constants.
+ void InitializeDataArray();
+
+ // Constructs the data array.
+ void CreateDataArray(const vector<string>& lines);
+
+ unordered_map<string, int> word2id;
+ vector<string> id2word;
+ vector<int> data;
+ vector<int> sentence_id;
+ vector<int> sentence_start;
+};
+
+} // namespace extractor
+
+#endif