public void addElevateWord(final String word, final String reading, final String[] tags, final String[] permissions, final Float boost,
            final boolean apply) {
        final String[] readings;
        if (StringUtil.isBlank(reading)) {
            readings = word.replace("　", TEXT_SEP).replaceAll(TEXT_SEP + "+", TEXT_SEP).split(TEXT_SEP);
        } else {

    @Required
    @Size(max = 1000)
    public String token;

    @Required
    @Size(max = 1000)
    public String segmentation;

    @Required
    @Size(max = 1000)
    public String reading;

    @Required
    @Size(max = 1000)
    public String pos;

    public void initialize() {
        crudMode = CrudMode.CREATE;
    }

labels.jobName=Name
labels.jobStatus=Status
labels.labelTypeIds=Labels
labels.lang=lang
labels.outputs=Target
labels.pos=POS
labels.purgeJobLogDay=Purge Job Log Before
labels.purgeUserInfoDay=Purge User Before
labels.reading=Reading
labels.roleTypeIds=Role ID
labels.scriptData=Script
labels.scriptResult=Result
labels.scriptType=Executor
labels.segmentation=Segmentation
labels.startTime=Start Time
labels.target=Target

labels.jobName=Name
labels.jobStatus=Status
labels.labelTypeIds=Labels
labels.lang=lang
labels.outputs=Target
labels.pos=POS
labels.purgeJobLogDay=Purge Job Log Before
labels.purgeUserInfoDay=Purge User Before
labels.reading=Reading
labels.roleTypeIds=Role ID
labels.scriptData=Script
labels.scriptResult=Result
labels.scriptType=Executor
labels.segmentation=Segmentation
labels.startTime=Start Time
labels.target=Target

            result.setCreatedTime(DfTypeUtil.toLong(source.get("createdTime")));
            result.setPermissions(toStringArray(source.get("permissions")));
            result.setReading(DfTypeUtil.toString(source.get("reading")));
            result.setSuggestWord(DfTypeUtil.toString(source.get("suggestWord")));
            result.setUpdatedBy(DfTypeUtil.toString(source.get("updatedBy")));

labels.jobName = 이름
labels.jobStatus = 상태
labels.labelTypeIds = 레이블(Label)
labels.lang = 언어
labels.outputs = 대상
labels.pos = 품사
labels.purgeJobLogDay = 이전 작업 로그 삭제
labels.purgeUserInfoDay = 이전의 사용자 로그를 삭제
labels.reading = 읽기
labels.roleTypeIds = Role ID
labels.scriptData = 스크립트
labels.scriptResult = 결과
labels.scriptType = 실행 방법
labels.segmentation = 분할
labels.startTime = 시작 시간
labels.target = 대상
labels.token = 토큰

rototype={constructor:et,init:function(e,t,n,r,i,o){this.elem=e,this.prop=n,this.easing=i||E.easing._default,this.options=t,this.start=this.now=this.cur(),this.end=r,this.unit=o||(E.cssNumber[n]?"":"px")},cur:function(){var e=et.propHooks[this.prop];return e&&e.get?e.get(this):et.propHooks._default.get(this)},run:function(e){var t,n=et.propHooks[this.prop];return this.options.duration?this.pos=t=E.easing[this.easing](e,this.options.duration*e,0,1,this.options.duration):this.pos=t=e,this.now=(thi...

&:active {\n    @content;\n  }\n}\n","// stylelint-disable declaration-no-important, selector-list-comma-newline-after\n\n//\n// Headings\n//\n\nh1, h2, h3, h4, h5, h6,\n.h1, .h2, .h3, .h4, .h5, .h6 {\n  margin-bottom: $headings-margin-bottom;\n  font-family: $headings-font-family;\n  font-weight: $headings-font-weight;\n  line-height: $headings-line-height;\n  color: $headings-color;\n}\n\nh1, .h1 { @include font-size($h1-font-size); }\nh2, .h2 { @include font-size($h2-font-size); }\nh3, .h3 { @include...

em}@media (min-width:576px){.jumbotron{padding:4rem 2rem}}.jumbotron-fluid{padding-right:0;padding-left:0;border-radius:0}.alert{position:relative;padding:.75rem 1.25rem;margin-bottom:1rem;border:1px solid transparent;border-radius:.25rem}.alert-heading{color:inherit}.alert-link{font-weight:700}.alert-dismissible{padding-right:4rem}.alert-dismissible .close{position:absolute;top:0;right:0;padding:.75rem 1.25rem;color:inherit}.alert-primary{color:#004085;background-color:#cce5ff;border-color:#b8daff}.alert-primary...