CLUCENE在语料库建设中的应用-豆柴文库

您所在位置：网站首页 / CLUCENE在语料库建设中的应用.docx / 文档详情

在线预览结束，喜欢就下载吧，查找使用更方便

5 金币

下载文档

/ 2

下载提示

如果您无法下载资料，请参考说明：

1、部分资料下载需要金币，请确保您的账户上有足够的金币

2、已购买过的文档，再次下载不重复扣费

3、资料包下载后请先用软件解压，在使用对应软件打开

文本预览

CLUCENE在语料库建设中的应用
Title:ApplicationofLuceneinCorpusConstruction
Abstract:
Corpusconstructionplaysacrucialroleinlanguage-relatedresearchandapplications.Theavailabilityofhigh-qualityandcomprehensivecorporagreatlybenefitsactivitiessuchasnaturallanguageprocessing,textmining,informationretrieval,andmachinelearning.ThispaperexaminestheapplicationofLucene,anopen-sourcesearchenginelibrary,incorpusconstruction.ItexploreshowLucenefacilitatesthecreation,management,andqueryingofcorpora,anddiscussesitsadvantagesandlimitationsinthiscontext.Additionally,itpresentssomereal-worldexamplesofLucene'ssuccessfulimplementationincorpusconstructionprojects.
Introduction:
Acorpusisalargecollectionoftextdocumentsthatarecarefullyselectedandorganizedforlinguisticanalysis.Corpusconstructioninvolvestheprocessofgathering,preprocessing,structuring,andstoringtextstocreatearepresentativeandbalancedcollectionforspecificresearchpurposes.Lucene,developedbyApacheSoftwareFoundation,offersapowerfulsetoftoolsandfunctionalitiesforcorpusbuildingandenablesefficientsearchandretrievaloperations.ThispaperaimstohighlightthevariouswaysLucenecanbeutilizedtostreamlinecorpusconstruction.
LuceneforTextIndexing:
Lucene'sprimarystrengthliesinitsabilitytoindexlargevolumesoftextdocuments.Itusesaninvertedindexstructure,whichenablesfastandefficientquerying.Duringtheindexingprocess,Lucenetokenizesdocuments,removesstopwords,normalizesterms,andstoresthemininvertedindexdatastructures.Thisindexingapproachallowsforquickandpreciseretrievalofrelevantdocumentsbasedonkeywordqueries.Whenappliedtocorpusconstruction,Lucene'sindexingcapabilitiessignificantlyenhancetheefficiencyoftextstorageandretrievaloperations.
DocumentPreprocessingandAnalysis:
Luceneprovidesvarioustoolsandfunctionalitiesfordocumentpreprocessingandanalysis,whichareessentialforconstructingcleanandstandardizedcorpora.Itsupportstokenization,stemming,lemmatization,andothertechniquesfortextnormalization.Lucene'slanguage-specificanalyzersareparticularlyusefulinhandlinglanguag