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1、Frequency,Collocation,andStatisticalModelingofLexicalItems:1ACaseStudyofTemporalExpressionsinanElderlySpeakerCorpus王聖富Sheng-FuWang國立臺灣大學語言學研究所GraduateInstituteofLinguisticsNationalTaiwanUniversitysftwang0416@gmail.com楊靜琛Jing-ChenYang國立臺灣大學語言學研究所Graduate
2、InstituteofLinguisticsNationalTaiwanUniversityflower75828@gmail.com張瑜芸Yu-YunChang國立臺灣大學語言學研究所GraduateInstituteofLinguisticsNationalTaiwanUniversityjune06029@gmail.com劉郁文Yu-WenLiu國立臺灣師範大學英語學系2DepartmentofEnglishNationalTaiwanNormalUniversityYw_L7@hotmail
3、.com謝舒凱Shu-KaiHsieh國立臺灣大學語言學研究所GraduateInstituteofLinguisticsNationalTaiwanUniversityshukaihsieh@ntu.edu.tw1Acknowledgement:ThanksWangChun-Chieh,LiuChun-Jui,AnnaLofstrand,HsuChan-Chia,andLiuYu-Wenfortheirinvolvementintheconstructionofthecorpusandtheearl
4、ydevelopmentofthispaper.2Graduated.179AbstractThisstudyexamineshowdifferentdimensionsofcorpusfrequencydatamayaffecttheoutcomeofstatisticalmodelingoflexicalitems.Thecorpususedinouranalysisisanelderlyspeakercorpusinitsearlydevelopment,andthetargetwordsare
5、temporalexpressions,whichmightrevealhowthespeechproducedbytheelderlyisorganized.Weconductdivisivehierarchicalclusteringbasedontwodifferentdimensionsofcorpusdata,namelyrawfrequencydistributionandcollocation-basedvectors.Resultsshowwhendifferentdimensions
6、ofdatawereusedastheinput,thetargettermswereindeedclusteredindifferentways.Analysesbasedonfrequencydistributionsandcollocationalpatternsaredistinctfromeachother.Specifically,statistically-basedcollocationalanalysisproducesmoredistinctclusteringresultstha
7、tdifferentiatetemporaltermsmoredelicatelythandotheonesbasedonrawfrequency.Keywords:clustering,collocation,corpuslinguistics,temporalexpression,gerontology1.IntroductionThestudyofgerontologyhasgainedglobewideattentionastheagingpopulationbecomesagraveissu
8、einoursocietynowadays.Muchresearchhasnotedthatagingcausednotonlyphysiologicalchangesforelderlypeople,butalsoeffectsontheirlanguageproduction[1],cognitiveload[2],contextprocessingspeed[3],languageperformancepatternscomparedtoyoung
