foundations_of_statistical_natural_language_processing

foundations_of_statistical_natural_language_processing

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時(shí)間:2018-08-01

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1、pPrefaceTheneedforathoroughtextbookforStatisticalNaturalLanguagePro-cessinghardlyneedstobearguedforintheageofon-lineinformation,electroniccommunicationandtheWorldWideWeb.Increasingly,busi-nesses,governmentagenciesandindividualsareconfrontedwithlargeamoun

2、tsoftextthatarecriticalforworkingandliving,butnotwellenoughunderstoodtogettheenormousvalueoutofthemthattheypo-tentiallyhide.Atthesametime,theavailabilityoflargetextcorporahaschangedthescienti?capproachtolanguageinlinguisticsandcognitivescience.Phenomenat

3、hatwerenotdetectableorseemeduninterestinginstudyingtoydomainsandindividualsentenceshavemovedintothecenter?eldofwhatisconsideredimportanttoexplain.Whereasasrecentlyastheearly1990squantitativemethodswereseenassoinadequateforlinguisticsthatanimportanttextbo

4、okformathematicallinguisticsdidnotcovertheminanyway,theyarenowincreasinglyseenascrucialforlinguistictheory.Inthisbookwehavetriedtoachieveabalancebetweentheoryandpractice,andbetweenintuitionandrigor.Weattempttogroundap-proachesintheoreticalideas,bothmathe

5、maticalandlinguistic,butsi-multaneouslywetrytonotletthematerialgettoodry,andtrytoshowhowtheoreticalideashavebeenusedtosolvepracticalproblems.Todothis,we?rstpresentkeyconceptsinprobabilitytheory,statistics,infor-mationtheory,andlinguisticsinordertogivestu

6、dentsthefoundationstounderstandthe?eldandcontributetoit.Thenwedescribetheprob-lemsthatareaddressedinStatisticalNaturalLanguageProcessing(NLP),liketagginganddisambiguation,andaselectionofimportantworksoiipxxxPrefacethatstudentsaregroundedintheadvancesthat

7、havebeenmadeand,havingunderstoodthespecialproblemsthatlanguageposes,canmovethe?eldforward.Whenwedesignedthebasicstructureofthebook,wehadtomakeanumberofdecisionsaboutwhattoincludeandhowtoorganizethematerial.Akeycriterionwastokeepthebooktoamanageablesize.(

8、Wedidn'tentirelysucceed!)Thusthebookisnotacompleteintroductiontoprobabilitytheory,informationtheory,statistics,andthemanyotherareasofmathematicsthatareusedinStatisticalNLP.Wehavetriedtocoverthosetopicsthatseemmostimportant

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