org.nlpcn.commons.lang.tire.domain.SmartForest Java Examples

The following examples show how to use org.nlpcn.commons.lang.tire.domain.SmartForest. You can vote up the ones you like or vote down the ones you don't like, and go to the original project or source file by following the links above each example. You may check out the related API usage on the sidebar.
Example #1
Source File: TagContent.java    From deeplearning4j with Apache License 2.0 6 votes vote down vote up
public String tagContent(List<Keyword> keyWords, String content) {
    SmartForest<Double> sf = new SmartForest<>();
    for (Keyword keyWord : keyWords) {
        sf.add(keyWord.getName().toLowerCase(), keyWord.getScore());
    }

    SmartGetWord<Double> sgw = new SmartGetWord<>(sf, content.toLowerCase());

    int beginOffe = 0;
    String temp = null;
    StringBuilder sb = new StringBuilder();
    while ((temp = sgw.getFrontWords()) != null) {
        sb.append(content.substring(beginOffe, sgw.offe));
        sb.append(beginTag);
        sb.append(content.substring(sgw.offe, sgw.offe + temp.length()));
        sb.append(endTag);
        beginOffe = sgw.offe + temp.length();
    }

    if (beginOffe <= content.length() - 1) {
        sb.append(content.substring(beginOffe, content.length()));
    }

    return sb.toString();
}
 
Example #2
Source File: NatureRecognition.java    From deeplearning4j with Apache License 2.0 6 votes vote down vote up
/**
 * 获取一个词语的参数
 * 
 * @param word
 * @return
 */
public String[] getParams(String word) {
    for (Forest forest : forests) {
        if (forest == null) {
            continue;
        }
        SmartForest<String[]> sf = forest;
        for (int i = 0; i < word.length(); i++) {
            sf = sf.get(word.charAt(i));
            if (sf == null) {
                return null;
            }
        }
        if (sf.getStatus() > 1) {
            return sf.getParam();
        } else {
            return null;
        }
    }
    return null;
}
 
Example #3
Source File: LearnTool.java    From deeplearning4j with Apache License 2.0 6 votes vote down vote up
/**
 * 增加一个新词到树中
 * 
 * @param newWord
 */
public void addTerm(NewWord newWord) {
    NewWord temp = null;
    SmartForest<NewWord> smartForest = null;
    if ((smartForest = sf.getBranch(newWord.getName())) != null && smartForest.getParam() != null) {
        temp = smartForest.getParam();
        temp.update(newWord.getNature(), newWord.getAllFreq());
    } else {
        count++;
        if (splitWord == null) {
            newWord.setScore(-1);
        } else {
            newWord.setScore(-splitWord.cohesion(newWord.getName()));
        }

        synchronized (sf) {
            sf.add(newWord.getName(), newWord);
        }
    }
}
 
Example #4
Source File: LearnTool.java    From deeplearning4j with Apache License 2.0 6 votes vote down vote up
private void valueResult(SmartForest<NewWord> smartForest, HashMap<String, Double> hm, Nature nature) {

        if (smartForest == null || smartForest.branches == null) {
            return;
        }
        for (int i = 0; i < smartForest.branches.length; i++) {
            NewWord param = smartForest.branches[i].getParam();
            if (smartForest.branches[i].getStatus() == 3) {
                if (param.isActive() && (nature == null || param.getNature().equals(nature))) {
                    hm.put(param.getName(), param.getScore());
                }
            } else if (smartForest.branches[i].getStatus() == 2) {
                if (param.isActive() && (nature == null || param.getNature().equals(nature))) {
                    hm.put(param.getName(), param.getScore());
                }
                valueResult(smartForest.branches[i], hm, nature);
            } else {
                valueResult(smartForest.branches[i], hm, nature);
            }
        }
    }
 
Example #5
Source File: MyStaticValue.java    From deeplearning4j with Apache License 2.0 6 votes vote down vote up
/**
 * 增加一个词典
 * 
 * @param key
 * @param path
 * @param value
 */
public static void putLibrary(String key, String path, Object value) {
    if (key.startsWith(DicLibrary.DEFAULT)) {
        DicLibrary.put(key, path, (Forest) value);
    } else if (key.startsWith(StopLibrary.DEFAULT)) {
        StopLibrary.put(key, path, (StopRecognition) value);
    } else if (key.startsWith(SynonymsLibrary.DEFAULT)) {
        SynonymsLibrary.put(key, path, (SmartForest) value);
    } else if (key.startsWith(AmbiguityLibrary.DEFAULT)) {
        AmbiguityLibrary.put(key, path, (Forest) value);
    } else if (key.startsWith(CrfLibrary.DEFAULT)) {
        CrfLibrary.put(key, path, (SplitWord) value);
    } else {
        throw new LibraryException(key + " type err must start with dic,stop,ambiguity,synonyms");
    }
    ENV.put(key, path);
}
 
Example #6
Source File: SynonymsLibrary.java    From deeplearning4j with Apache License 2.0 6 votes vote down vote up
/**
 */
public static SmartForest<List<String>> get(String key) {
    KV<String, SmartForest<List<String>>> kv = SYNONYMS.get(key);

    if (kv == null) {
        if (MyStaticValue.ENV.containsKey(key)) {
            putIfAbsent(key, MyStaticValue.ENV.get(key));
            return get(key);
        }
        LOG.warn("crf " + key + " not found in config ");
        return null;
    }

    SmartForest<List<String>> sw = kv.getV();
    if (sw == null) {
        sw = init(key, kv, false);
    }
    return sw;
}
 
Example #7
Source File: AnsjArrays.java    From nlp-lang with Apache License 2.0 6 votes vote down vote up
/**
 * 二分法查找.摘抄了jdk的东西..只不过把他的自动装箱功能给去掉了
 *
 * @param branches
 *            branches
 * @param c
 *            char
 * @return idx
 */

public static <T extends SmartForest<T>> int binarySearch(T[] branches, char c) {
	int high = branches.length - 1;
	if (branches.length < 1) {
		return high;
	}
	int low = 0;
	while (low <= high) {
		int mid = (low + high) >>> 1;
		int cmp = branches[mid].compareTo(c);

		if (cmp < 0) {
			low = mid + 1;
		} else if (cmp > 0) {
			high = mid - 1;
		} else {
			return mid; // key found
		}
	}
	return -(low + 1); // key not found.
}
 
Example #8
Source File: SynonymsLibrary.java    From deeplearning4j with Apache License 2.0 6 votes vote down vote up
private static Set<String> findAllWords(String key, String[] words) {

        SmartForest<List<String>> synonyms = get(key);

        Set<String> set = new HashSet<>();
        for (String word : words) {
            SmartForest<List<String>> branch = synonyms.getBranch(word);
            if (branch != null) {
                List<String> params = branch.getParam();
                if (params != null) {
                    set.addAll(params);
                }
            }
        }
        return set;
    }
 
Example #9
Source File: SynonymsLibrary.java    From deeplearning4j with Apache License 2.0 6 votes vote down vote up
/**
 * 从同义词组中删除掉一个词 [中国, 中华, 我国] -> remove(我国) -> [中国, 中华]
 * 
 * @param words
 */
public static void remove(String key, String word) {

    SmartForest<List<String>> synonyms = get(key);

    SmartForest<List<String>> branch = synonyms.getBranch(word);

    if (branch == null || branch.getStatus() < 2) {
        return;
    }

    List<String> params = branch.getParam();

    synonyms.remove(word);
    branch.setParam(null);
    params.remove(word);

    if (params.size() == 1) { //如果是1 个也删除
        synonyms.remove(params.get(0));
        params.remove(0);
    } else {
        params.remove(word);
    }
}
 
Example #10
Source File: SummaryComputer.java    From deeplearning4j with Apache License 2.0 5 votes vote down vote up
/**
 * 计算一个句子的分数
 * 
 * @param sentence
 * @param sf
 */
private void computeScore(Sentence sentence, SmartForest<Double> forest) {
    SmartGetWord<Double> sgw = new SmartGetWord<>(forest, sentence.value);
    String name = null;
    while ((name = sgw.getFrontWords()) != null) {
        sentence.updateScore(name, sgw.getParam());
    }
    if (sentence.score == 0) {
        sentence.score = sentence.value.length() * -0.005;
    } else {
        sentence.score /= Math.log(sentence.value.length() + 3);
    }
}
 
Example #11
Source File: UserDicNatureRecognition.java    From deeplearning4j with Apache License 2.0 5 votes vote down vote up
public static String[] getParams(Forest forest, String word) {
    SmartForest<String[]> temp = forest;
    for (int i = 0; i < word.length(); i++) {
        temp = temp.get(word.charAt(i));
        if (temp == null) {
            return null;
        }
    }
    if (temp.getStatus() > 1) {
        return temp.getParam();
    } else {
        return null;
    }
}
 
Example #12
Source File: CRFModel.java    From deeplearning4j with Apache License 2.0 5 votes vote down vote up
@Override
public CRFModel loadModel(InputStream is) throws Exception {
    long start = System.currentTimeMillis();
    try (ObjectInputStream ois = new ObjectInputStream(new GZIPInputStream(is))) {
        ois.readUTF();
        this.status = (float[][]) ois.readObject();
        int[][] template = (int[][]) ois.readObject();
        this.config = new Config(template);
        int win = 0;
        int size = 0;
        String name = null;
        featureTree = new SmartForest<float[]>();
        float[] value = null;
        do {
            win = ois.readInt();
            size = ois.readInt();
            for (int i = 0; i < size; i++) {
                name = ois.readUTF();
                value = new float[win];
                for (int j = 0; j < value.length; j++) {
                    value[j] = ois.readFloat();
                }
                featureTree.add(name, value);
            }
        } while (win == 0 || size == 0);
        logger.info("load crf model ok ! use time :" + (System.currentTimeMillis() - start));
    }
    return this;
}
 
Example #13
Source File: Model.java    From deeplearning4j with Apache License 2.0 5 votes vote down vote up
/**
 * 获得特征所在权重数组
 * 
 * @param featureStr
 * @return
 */
public float[] getFeature(char... chars) {
    if (chars == null) {
        return null;
    }
    SmartForest<float[]> sf = featureTree;
    sf = sf.getBranch(chars);
    if (sf == null || sf.getParam() == null) {
        return null;
    }
    return sf.getParam();
}
 
Example #14
Source File: LearnTool.java    From deeplearning4j with Apache License 2.0 5 votes vote down vote up
/**
 * 尝试激活,新词
 * 
 * @param name
 */
public void active(String name) {
    SmartForest<NewWord> branch = sf.getBranch(name);
    if (branch != null && branch.getParam() != null) {
        branch.getParam().setActive(true);
    }
}
 
Example #15
Source File: SynonymsLibrary.java    From deeplearning4j with Apache License 2.0 5 votes vote down vote up
/**
 * 删除一个key
 * 
 * @param key
 * @return
 */
public static KV<String, SmartForest<List<String>>> remove(String key) {
    KV<String, SmartForest<List<String>>> kv = SYNONYMS.get(key);
    if (kv != null && kv.getV() != null) { //先清空后删除
        kv.getV().clear();
    }
    MyStaticValue.ENV.remove(key);
    return SYNONYMS.remove(key);
}
 
Example #16
Source File: SynonymsRecgnition.java    From deeplearning4j with Apache License 2.0 5 votes vote down vote up
@Override
public void recognition(Result result) {
    for (Term term : result) {
        SmartForest<List<String>> branch = synonyms.getBranch(term.getName());
        if (branch != null && branch.getStatus() > 1) {
            List<String> syns = branch.getParam();
            if (syns != null) {
                term.setSynonyms(syns);
            }
        }
    }
}
 
Example #17
Source File: NatureRecognition.java    From deeplearning4j with Apache License 2.0 5 votes vote down vote up
/**
 * 通过规则 猜测词性
 * 
 * @param word
 * @return
 */
public static TermNatures guessNature(String word) {
    String nature = null;
    SmartForest<String[]> smartForest = SUFFIX_FOREST;
    int len = 0;
    for (int i = word.length() - 1; i >= 0; i--) {
        smartForest = smartForest.get(word.charAt(i));
        if (smartForest == null) {
            break;
        }
        len++;
        if (smartForest.getStatus() == 2) {
            nature = smartForest.getParam()[0];
        } else if (smartForest.getStatus() == 3) {
            nature = smartForest.getParam()[0];
            break;
        }
    }

    if ("nt".equals(nature) && (len > 1 || word.length() > 3)) {
        return TermNatures.NT;
    } else if ("ns".equals(nature)) {
        return TermNatures.NS;
    } else if (word.length() < 5) {
        Result parse = ToAnalysis.parse(word);
        for (Term term : parse.getTerms()) {
            if ("nr".equals(term.getNatureStr())) {
                return TermNatures.NR;
            }
        }
    } else if (ForeignPersonRecognition.isFName(word)) {
        return TermNatures.NRF;
    }

    return TermNatures.NW;
}
 
Example #18
Source File: AnsjDictionaryTestCase.java    From jstarcraft-nlp with Apache License 2.0 5 votes vote down vote up
@Override
protected NlpDictionary getDictionary(String... texts) {
    SmartForest<Boolean> forest = new SmartForest<Boolean>();
    for (String text : texts) {
        forest.add(text, true);
    }
    AnsjDictionary dictionary = new AnsjDictionary(forest);
    return dictionary;
}
 
Example #19
Source File: SmartGetWordTest.java    From nlp-lang with Apache License 2.0 5 votes vote down vote up
@Test
public void test() {
	/**
	 * 词典的构造.一行一个词后面是参数.可以从文件读取.可以是read流.
	 */
	long start = System.currentTimeMillis();
	SmartForest<Integer> forest = new SmartForest<Integer>();

	forest.add("中国", 3);

	forest.add("android", 3);

	forest.add("java", 3);

	forest.add("中国人", 3);

	String content = " Android-java-中国人";
	
	
	forest.remove("中国人") ;
	
	content = StringUtil.rmHtmlTag(content);

	for (int i = 0; i < 1; i++) {
		SmartGetWord<Integer> udg = forest.getWord(content.toLowerCase().toCharArray());

		String temp;
		while ((temp = udg.getFrontWords()) != null) {
			System.out.println(temp + "\t" + udg.getParam());
		}
	}
	System.out.println(System.currentTimeMillis() - start);
}
 
Example #20
Source File: DATMaker.java    From nlp-lang with Apache License 2.0 5 votes vote down vote up
/**
 * 构建用户自定义的dat
 * 
 * @throws FileNotFoundException
 * @throws IllegalAccessException
 * @throws InstantiationException
 */
public void maker(final String dicPath, final Class<? extends Item> cla) throws FileNotFoundException, InstantiationException, IllegalAccessException {
	long start = System.currentTimeMillis();
	LOG.info("make basic tire begin !");

	final SmartForest<Item> forest = new SmartForest<Item>();
	final FileIterator it = IOUtil.instanceFileIterator(dicPath, IOUtil.UTF8);
	if (it == null) {
		throw new FileNotFoundException();
	}
	try {
		String temp;
		while (it.hasNext()) {
			temp = it.next();
			if (StringUtil.isBlank(temp)) {
				continue;
			}
			final Item item = cla.newInstance();
			final String[] split = temp.split("\t");
			item.init(split);
			forest.add(split[0], item);
		}
	} finally {
		it.close();
	}
	LOG.info("make basic tire over use time " + (System.currentTimeMillis() - start) + " ms");

	start = System.currentTimeMillis();
	LOG.info("make dat tire begin !");
	makeDAT(tree2List(cla, forest));
	LOG.info("make dat tire over use time " + (System.currentTimeMillis() - start) + " ms! dat len is " + datArrLen() + "! dat size is " + datItemSize());

}
 
Example #21
Source File: AllWordTest.java    From nlp-lang with Apache License 2.0 5 votes vote down vote up
public static void main(String[] args) {
	/**
	 * 词典的构造.一行一个词后面是参数.可以从文件读取.可以是read流.
	 */
	long start = System.currentTimeMillis();
	SmartForest<Integer> forest = new SmartForest<Integer>();

	forest.add("中国", 3);

	forest.add("android", 3);

	forest.add("java", 3);
	
	forest.add("jav", 3);

	forest.add("中国人", 3);
	forest.add("国人", 3);
	
	forest.add("0",3);
	forest.add("3",3);

	String content = " Android-java-中国人00000000000000 1230 013 33333";
	
	
	content = StringUtil.rmHtmlTag(content);

	for (int i = 0; i < 1; i++) {
		SmartGetWord<Integer> udg = forest.getWord(content.toLowerCase().toCharArray());

		String temp;
		while ((temp = udg.getAllWords()) != null) {
			System.out.println(temp + "\t" + udg.getParam());
		}
	}
	System.out.println(System.currentTimeMillis() - start);
}
 
Example #22
Source File: Library.java    From nlp-lang with Apache License 2.0 5 votes vote down vote up
/**
 * 删除一个词
 *
 * @param forest
 * @param temp
 */
public static void removeWord(Forest forest, String word) {
	SmartForest<String[]> branch = forest;
	char[] chars = word.toCharArray();

	for (int i = 0; i < chars.length; i++) {
		if (branch == null) {
			return;
		}
		if (chars.length == i + 1) {
			branch.add(new Forest(chars[i], -1, null));
		}
		branch = branch.getBranch(chars[i]);
	}
}
 
Example #23
Source File: Library.java    From nlp-lang with Apache License 2.0 5 votes vote down vote up
private static void insertWord(Forest forest, String temp, String... param) {
	SmartForest<String[]> branch = forest;
	char[] chars = temp.toCharArray();
	for (int i = 0; i < chars.length; i++) {
		if (chars.length == i + 1) {
			branch.add(new Forest(chars[i], 3, param));
		} else {
			branch.add(new Forest(chars[i], 1, null));
		}
		branch = branch.getBranch(chars[i]);
	}
}
 
Example #24
Source File: UserDefineRecognition.java    From deeplearning4j with Apache License 2.0 5 votes vote down vote up
/**
 * 传入一个term 返回这个term的状态
 * 
 * @param branch
 * @param term
 * @return
 */
private SmartForest<String[]> termStatus(SmartForest<String[]> branch, Term term) {
    String name = term.getName();
    SmartForest<String[]> sf = branch;
    for (int j = 0; j < name.length(); j++) {
        sf = sf.get(name.charAt(j));
        if (sf == null) {
            return null;
        }
    }
    return sf;
}
 
Example #25
Source File: AnsjArrays.java    From nlp-lang with Apache License 2.0 5 votes vote down vote up
private static void mergeSort(SmartForest[] src, SmartForest[] dest, int low, int high, int off) {
	int length = high - low;

	// Insertion sort on smallest arrays
	if (length < INSERTIONSORT_THRESHOLD) {
		for (int i = low; i < high; i++) {
			for (int j = i; j > low && (dest[j - 1]).compareTo(dest[j].getC()) > 0; j--) {
				swap(dest, j, j - 1);
			}
		}
		return;
	}

	// Recursively sort halves of dest into src
	int destLow = low;
	int destHigh = high;
	low += off;
	high += off;
	int mid = (low + high) >>> 1;
	mergeSort(dest, src, low, mid, -off);
	mergeSort(dest, src, mid, high, -off);

	// If list is already sorted, just copy from src to dest. This is an
	// optimization that results in faster sorts for nearly ordered lists.
	if (src[mid - 1].compareTo(src[mid].getC()) <= 0) {
		System.arraycopy(src, low, dest, destLow, length);
		return;
	}

	// Merge sorted halves (now in src) into dest
	for (int i = destLow, p = low, q = mid; i < destHigh; i++) {
		if (q >= high || p < mid && src[p].compareTo(src[q].getC()) <= 0) {
			dest[i] = src[p++];
		} else {
			dest[i] = src[q++];
		}
	}
}
 
Example #26
Source File: AnsjArrays.java    From nlp-lang with Apache License 2.0 4 votes vote down vote up
/**
 * Swaps x[a] with x[b].
 */
private static void swap(SmartForest[] x, int a, int b) {
	SmartForest t = x[a];
	x[a] = x[b];
	x[b] = t;
}
 
Example #27
Source File: SynonymsLibrary.java    From deeplearning4j with Apache License 2.0 4 votes vote down vote up
public static void putIfAbsent(String key, String path) {
    if (!SYNONYMS.containsKey(key)) {
        SYNONYMS.put(key, KV.with(path, (SmartForest<List<String>>) null));
    }
}
 
Example #28
Source File: DATMaker.java    From nlp-lang with Apache License 2.0 4 votes vote down vote up
/**
 * 将tire树 广度遍历为List
 * 
 * @throws InstantiationException
 */
private List<Item> tree2List(final Class<? extends Item> cla, final SmartForest<Item> forest) throws InstantiationException, IllegalAccessException {
	final List<Item> all = new ArrayList<Item>();
	treeToLibrary(cla, all, forest, "");
	return all;
}
 
Example #29
Source File: SynonymsLibrary.java    From deeplearning4j with Apache License 2.0 4 votes vote down vote up
public static void put(String key, String path, SmartForest<List<String>> value) {
    SYNONYMS.put(key, KV.with(path, value));
    MyStaticValue.ENV.put(key, path);
}
 
Example #30
Source File: SynonymsLibrary.java    From deeplearning4j with Apache License 2.0 4 votes vote down vote up
/**
 * 加载词典
 * 
 * @param key
 * @param kv
 * @param reload 是否更新词典
 * @return
 */
private static synchronized SmartForest<List<String>> init(String key, KV<String, SmartForest<List<String>>> kv,
                boolean reload) {

    SmartForest<List<String>> forest = kv.getV();

    if (forest != null) {
        if (reload) {
            forest.clear();
        } else {
            return forest;
        }
    } else {
        forest = new SmartForest<>();
    }

    LOG.debug("begin init synonyms " + kv.getK());
    long start = System.currentTimeMillis();

    try (BufferedReader reader = IOUtil.getReader(PathToStream.stream(kv.getK()), IOUtil.UTF8)) {
        String temp = null;
        while ((temp = reader.readLine()) != null) {
            if (StringUtil.isBlank(temp)) {
                continue;
            }
            String[] split = temp.split("\t");

            List<String> list = new ArrayList<>();
            for (String word : split) {
                if (StringUtil.isBlank(word)) {
                    continue;
                }
                list.add(word);
            }

            if (split.length <= 1) {
                LOG.warn(temp + " in synonymsLibrary not in to library !");
                continue;
            }

            for (int i = 0; i < split.length; i++) {
                forest.add(split[i], list);
            }
        }
        kv.setV(forest);
        LOG.info("load synonyms use time:" + (System.currentTimeMillis() - start) + " path is : " + kv.getK());
        return forest;
    } catch (Exception e) {
        LOG.error("Init synonyms library error :" + e.getMessage() + ", path: " + kv.getK());
        SYNONYMS.remove(key);
        return null;
    }
}