Zonble: Implementing AllUnigrams to autosort candidates.

- This brings a little side effect that the user candidate won't reflect duplicated user phrases anymore. However, it is meaningless to feel entangled with that since we can later introduce a file-content deduplicator for user phrase data file.
- Though this is not a hard requirement, the CNS11643 support need this module to boost the efficiency of the dev process.
This commit is contained in:
ShikiSuen 2022-01-23 18:21:49 +08:00
parent ce71245c08
commit a713cb324c
2 changed files with 52 additions and 69 deletions

View File

@ -9,7 +9,6 @@
#include "vChewingLM.h"
#include <algorithm>
#include <iterator>
#include <unordered_set>
using namespace vChewing;
@ -46,7 +45,8 @@ void vChewingLM::loadUserPhrases(const char* userPhrasesDataPath,
}
}
void vChewingLM::loadPhraseReplacementMap(const char* phraseReplacementPath) {
void vChewingLM::loadPhraseReplacementMap(const char* phraseReplacementPath)
{
if (phraseReplacementPath) {
m_phraseReplacement.close();
m_phraseReplacement.open(phraseReplacementPath);
@ -60,90 +60,69 @@ const vector<Bigram> vChewingLM::bigramsForKeys(const string& preceedingKey, con
const vector<Unigram> vChewingLM::unigramsForKey(const string& key)
{
vector<Unigram> unigrams;
vector<Unigram> allUnigrams;
vector<Unigram> userUnigrams;
// Use unordered_set so that you don't have to do O(n*m)
unordered_set<string> excludedValues;
unordered_set<string> userValues;
unordered_set<string> insertedValues;
if (m_excludedPhrases.hasUnigramsForKey(key)) {
vector<Unigram> excludedUnigrams = m_excludedPhrases.unigramsForKey(key);
transform(excludedUnigrams.begin(), excludedUnigrams.end(),
inserter(excludedValues, excludedValues.end()),
[](const Unigram &u) { return u.keyValue.value; });
[](const Unigram& u) { return u.keyValue.value; });
}
if (m_userPhrases.hasUnigramsForKey(key)) {
vector<Unigram> rawUserUnigrams = m_userPhrases.unigramsForKey(key);
vector<Unigram> filterredUserUnigrams;
for (auto&& unigram : rawUserUnigrams) {
if (excludedValues.find(unigram.keyValue.value) == excludedValues.end()) {
filterredUserUnigrams.push_back(unigram);
}
}
transform(filterredUserUnigrams.begin(), filterredUserUnigrams.end(),
inserter(userValues, userValues.end()),
[](const Unigram &u) { return u.keyValue.value; });
if (m_phraseReplacementEnabled) {
for (auto&& unigram : filterredUserUnigrams) {
string value = unigram.keyValue.value;
string replacement = m_phraseReplacement.valueForKey(value);
if (replacement != "") {
unigram.keyValue.value = replacement;
}
unigrams.push_back(unigram);
}
} else {
unigrams = filterredUserUnigrams;
}
userUnigrams = filterAndTransformUnigrams(rawUserUnigrams, excludedValues, insertedValues);
}
if (m_languageModel.hasUnigramsForKey(key)) {
vector<Unigram> globalUnigrams = m_languageModel.unigramsForKey(key);
for (auto&& unigram : globalUnigrams) {
string value = unigram.keyValue.value;
if (excludedValues.find(value) == excludedValues.end() &&
userValues.find(value) == userValues.end()) {
if (m_phraseReplacementEnabled) {
string replacement = m_phraseReplacement.valueForKey(value);
if (replacement != "") {
unigram.keyValue.value = replacement;
}
}
unigrams.push_back(unigram);
}
}
vector<Unigram> rawGlobalUnigrams = m_languageModel.unigramsForKey(key);
allUnigrams = filterAndTransformUnigrams(rawGlobalUnigrams, excludedValues, insertedValues);
}
unigrams.insert(unigrams.begin(), userUnigrams.begin(), userUnigrams.end());
return unigrams;
allUnigrams.insert(allUnigrams.begin(), userUnigrams.begin(), userUnigrams.end());
return allUnigrams;
}
bool vChewingLM::hasUnigramsForKey(const string& key)
{
if (key == " ") {
return true;
if (!m_excludedPhrases.hasUnigramsForKey(key)) {
return m_userPhrases.hasUnigramsForKey(key) || m_languageModel.hasUnigramsForKey(key);
}
if (!m_excludedPhrases.hasUnigramsForKey(key)) {
return m_userPhrases.hasUnigramsForKey(key) ||
m_languageModel.hasUnigramsForKey(key);
}
return unigramsForKey(key).size() > 0;
}
void vChewingLM::setPhraseReplacementEnabled(bool enabled)
{
m_phraseReplacementEnabled = enabled;
m_phraseReplacementEnabled = enabled;
}
bool vChewingLM::phraseReplacementEnabled()
{
return m_phraseReplacementEnabled;
}
const vector<Unigram> vChewingLM::filterAndTransformUnigrams(vector<Unigram> unigrams, const unordered_set<string>& excludedValues, unordered_set<string>& insertedValues)
{
vector<Unigram> results;
for (auto&& unigram : unigrams) {
string value = unigram.keyValue.value;
if (m_phraseReplacementEnabled) {
string replacement = m_phraseReplacement.valueForKey(value);
if (replacement != "") {
value = replacement;
unigram.keyValue.value = value;
}
}
if (excludedValues.find(value) == excludedValues.end() && insertedValues.find(value) == insertedValues.end()) {
results.push_back(unigram);
insertedValues.insert(value);
}
}
return results;
}

View File

@ -10,9 +10,10 @@
#define VCHEWINGLM_H
#include <stdio.h>
#include "FastLM.h"
#include "UserPhrasesLM.h"
#include "FastLM.h"
#include "PhraseReplacementMap.h"
#include <unordered_set>
namespace vChewing {
@ -22,20 +23,23 @@ class vChewingLM : public LanguageModel {
public:
vChewingLM();
~vChewingLM();
void loadLanguageModel(const char* languageModelDataPath);
void loadUserPhrases(const char* userPhrasesDataPath,
const char* excludedPhrasesDataPath);
void loadLanguageModel(const char* languageModelPath);
void loadUserPhrases(const char* userPhrasesPath, const char* excludedPhrasesPath);
void loadPhraseReplacementMap(const char* phraseReplacementPath);
const vector<Bigram> bigramsForKeys(const string& preceedingKey, const string& key);
const vector<Unigram> unigramsForKey(const string& key);
bool hasUnigramsForKey(const string& key);
void setPhraseReplacementEnabled(bool enabled);
bool phraseReplacementEnabled();
protected:
const vector<Unigram> filterAndTransformUnigrams(vector<Unigram> unigrams,
const std::unordered_set<string>& excludedValues,
std::unordered_set<string>& insertedValues);
FastLM m_languageModel;
UserPhrasesLM m_userPhrases;
UserPhrasesLM m_excludedPhrases;