Java Code Examples for org.ansj.domain.Term#setNature()

The following examples show how to use org.ansj.domain.Term#setNature() . 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: NewWordRecognition.java From deeplearning4j with Apache License 2.0

5 votes

private void makeNewTerm() {
    Term term = new Term(sb.toString(), offe, tempNature.natureStr, 1);
    term.selfScore(score);
    term.setNature(tempNature);
    if (sb.length() > 3) {
        term.setSubTerm(TermUtil.getSubTerm(from, to));
    }
    TermUtil.termLink(from, term);
    TermUtil.termLink(term, to);
    TermUtil.insertTerm(terms, term, InsertTermType.SCORE_ADD_SORT);
    TermUtil.parseNature(term);
}

Example 2

Source File: UserDicNatureRecognition.java From deeplearning4j with Apache License 2.0

5 votes

@Override
public void recognition(Result result) {
    for (Term term : result) {
        for (int i = forests.length - 1; i > -1; i--) {
            String[] params = getParams(forests[i], term.getName());
            if (params != null) {
                term.setNature(new Nature(params[0]));
                break;
            }
        }
    }
}

Example 3

Source File: TermUtil.java From deeplearning4j with Apache License 2.0

5 votes

/**
 * 得到细颗粒度的分词，并且确定词性
 * 
 * @return 返回是null说明已经是最细颗粒度
 */
public static void parseNature(Term term) {
    if (!Nature.NW.equals(term.natrue())) {
        return;
    }

    String name = term.getName();

    if (name.length() <= 3) {
        return;
    }

    // 是否是外国人名
    if (ForeignPersonRecognition.isFName(name)) {
        term.setNature(NatureLibrary.getNature("nrf"));
        return;
    }

    List<Term> subTerm = term.getSubTerm();

    // 判断是否是机构名
    term.setSubTerm(subTerm);
    Term first = subTerm.get(0);
    Term last = subTerm.get(subTerm.size() - 1);
    int[] is = companyMap.get(first.getName());
    int all = 0;

    is = companyMap.get(last.getName());
    if (is != null) {
        all += is[1];
    }

    if (all > 1000) {
        term.setNature(NatureLibrary.getNature("nt"));
        return;
    }
}

Example 4

Source File: TimeRecognition.java From deeplearning4j with Apache License 2.0

4 votes

@Override
public void recognition(Result result) {
    String name = "";
    String timeWord = "";
    List<Term> terms = result.getTerms();
    LinkedList<Term> mergeList = new LinkedList<>();
    List<Term> list = new LinkedList<>();

    Pattern pattern =
                    Pattern.compile("((\\d|[０１２３４５６７８９]){1,4}年(\\d|[０１２３４５６７８９]){1,2}月(\\d|[０１２３４５６７８９]){1,2}[日|号](上午|下午|中午|晚)?(\\s)*((\\d|[０１２３４５６７８９]){1,2}([点|时|點|時])?((:)?(\\d|[０１２３４５６７８９]){1,2}(分)?((:)?(\\d|[０１２３４５６７８９]){1,2}(秒)?)?)?)?(\\s)*(PM|AM)?|(\\d|[０１２３４５６７８９]){1,2}(月|月份)(\\d|[０１２３４５６７８９]){1,2}([日|号])?(上午|下午|中午|晚)?(\\s)*((\\d|[０１２３４５６７８９]){1,2}([点|时|點|時])?((:)?(\\d|[０１２３４５６７８９]){1,2}(分)?((:)?(\\d|[０１２３４５６７８９]){1,2}(秒)?)?)?)?(\\s)*(PM|AM)?|(\\d|[０１２３４５６７８９]){1,2}日(上午|下午|中午|晚)?(\\s)*((\\d|[０１２３４５６７８９]){1,2}([点|时|點|時])?((:)?(\\d|[０１２３４５６７８９]){1,2}(分)?((:)?(\\d|[０１２３４５６７８９]){1,2}(秒)?)?)?)?(\\s)*(PM|AM)?|(昨天|昨日|昨日上午|昨日下午|昨日晚上|昨天早上|昨天上午|昨天中午|昨天下午|昨晚|昨夜|昨天晚上|今天早上|今天上午|今天下午|今晚|今天晚上|今日上午|今日下午|今日|今天|前天|今年|去年|当日|当日上午|上午|下午|中午|清晨|前晚|早上|凌晨|今晨|近日|日前|不久前)((\\d|[０１２３４５６７８９]){1,2}[点|时|點|時])?((:)?(\\d|[０１２３４５６７８９]){1,2}(分)?((:)?(\\d|[０１２３４５６７８９]){1,2}(秒)?)?)?(\\s)*(PM|AM)?|[\\“|\"](1|2|3|4|5|6|7|8|9|10|11|12)[·|.| |-](\\d|[０１２３４５６７８９]){1,2}[\\”|\"]|星期[一|二|三|四|五|六|天|日]|(\\d|[０１２３４５６７８９]){1,2}[点|时|點|時]((:)?(\\d|[０１２３４５６７８９]){1,2}(分)?((:)?(\\d|[０１２３４５６７８９]){1,2}(秒)?)?)?(\\s)*(PM|AM)?|(\\d|[０１２３４５６７８９]){4}年((\\d|[０１２３４５６７８９]){1,2}月)?|(\\d|[０１２３４５６７８９]){1,2}月|(正|一|二|三|四|五|六|七|八|九|十|十一|十二|腊)月((初|十|二十|三十)[ 一二三四五六七八九十])?(上午|下午|中午|晚)?|((\\d|[０１２３４５６７８９]){4}-(\\d|[０１２３４５６７８９]){2}-(\\d|[０１２３４５６７８９]){2})?(\\s)*(\\d|[０１２３４５６７８９]){2}:(\\d|[０１２３４５６７８９]){2}:(\\d|[０１２３４５６７８９]){2}|(\\d|[０１２３４５６７８９]){4}-(\\d|[０１２３４５６７８９]){2}-(\\d|[０１２３４５６７８９]){2}(\\s)*((\\d|[０１２３４５６７８９]){2}:(\\d|[０１２３４５６７８９]){2}:(\\d|[０１２３４５６７８９]){2})?)",
                                    Pattern.CASE_INSENSITIVE | Pattern.MULTILINE);

    for (int i = 0; i < terms.size(); i++) {
        boolean isTime = false;
        Term termBase = terms.get(i);
        int timeTermsLength = 1;
        int matchLength = 0; //匹配长度
        for (int j = i; j < terms.size() && matchLength < 11; j++) { //向后最大找14个词匹配是否是时间词
            Term term = terms.get(j);
            name = term.getName();
            timeWord += name;
            Matcher matcher = pattern.matcher(timeWord);
            mergeList.add(term);
            if (matcher.matches()) {
                isTime = true;
                timeTermsLength += (j - i);
                i = j;
            }
            matchLength++;
        }
        if (isTime) {
            Term ft = mergeList.pollFirst();
            for (int k = 0; k < timeTermsLength - 1; k++) {
                ft.merageWithBlank(mergeList.get(k));
            }
            ft.setNature(nature);
            list.add(ft);
        } else {
            list.add(termBase);
        }
        mergeList.clear();
        timeWord = "";

    }
    result.setTerms(list);
}