Applications of Natural Language Processing Technology

NLP ichaumba sei Ramangwana re Tech Tech?

Kunyoresa mutauro wemutauro, kana NLP ibasa reuchenjeri hwemagetsi rine zvikonzero zvakawanda zvinokosha pane nzira iyo makombiyuta uye vanhu vanobatana. Mutauro wevanhu, wakagadzirwa pamusoro pezviuru zvezviuru zvemazana, wakava unhu husina kunaka hwekukurukurirana unotakura hupfumi hwemashoko anowanzopfuura mazwi acho chete. NLP ichava teknolojia inokosha pakurongedza gaka pakati pekukurukurirana kwevanhu uye dhidhiyo data. Heano maitiro mashanu ayo kushandiswa kwemutauro wepanyama kuchashandiswa mumakore anotevera.

01 ye 05

Machine Translation

Liam Norris / Stone / Getty Images

Sezvo ruzivo rwenyika rwuri muIndaneti, basa rekuita iyo data rinowanikwa rinowedzera rinokosha. Dambudziko rekuita ruzivo rwenyika rudikanwe kune munhu wese, pamitemo yezvimitauro, rakangodarika simba rekushandura kwevanhu. Makambani matsva akaita saDuolingo ari kutarisa kuunganidza vanhu vakawanda kuti vabatsire, nekubatanidza kushandura mabasa nekudzidza mutauro mutsva. Asi shanduro yemashandisi inopa imwe nzira inogona kuchinja yakajeka kuti iwirirane nemashoko enyika. Google ndiyo kambani inotungamira kushandura kwemashini, kushandisa nyanzvi yezvinodhaka injini yebasa rekushandura kweGoogle. Dambudziko nemichina yekushandura mitauro haisi mukushandura mazwi, asi mukuchengetedza zvinoreva mitsara, dambudziko rakaoma rekugadzira zvinhu riri pamwoyo weNLP.

02 of 05

Kurwisa Spam

Spam filters vave vakakosha senzira yokutanga yekudzivirirwa pamusoro pezvinetso zvinoramba zvichiwedzerwa emai esaida. Asi anenge anenge munhu wese anoshandisa imeyeri zvakanyanya ane marwadzo pamusoro pemamwe mairi asina kudiwa emaiwo achiri kugamuchirwa, kana kuti emaiza anokosha ayo akabatwa zvisina kufanira mufaira. Nhema dzenhema uye dzisiri-dzisina kunaka dzemapeputa e spam dziri pamwoyo weNLP teknolojia, zvakare kuwedzeredza kune dambudziko rekutora zvinorehwa kubva kune zvidzidzo zvemashoko. Inyanzvi yekombiyuta yakagamuchirwa zvikuru ndeyeBasesian spam filtering, nhamba yematongerwo ayo umo kuitika kwemashoko mu email kunotarisana nekunowanzoitika kune imwe nzvimbo muchechi ye spam uye kwete-spam emails.

03 of 05

Mashoko Okuwedzera

Zvisarudzo zvakawanda zvinokosha mumisika yemari zviri kuwedzera kuenderera mberi kubva kutungamiri hwevanhu nekudzivirira. Algorithmic yekutengeserana iri kuve yakakurumbira, maitiro ekutsinhanisa mari izvo zvakanyatsorongedzwa nekombiyuta. Asi zvizhinji zvezvisarudzo izvi zvemari zvinokonzerwa nehupfumi, nehuwandu hwemashoko izvo zvichiri kuendeswa kunyanya muChirungu. Basa guru, saka, reNLP rava kutora mabhuku aya akajeka, uye kubvisa ruzivo rwakakosha mumutauro unogona kugoverwa mukugadziriswa kwezvokutengeserana. Semuenzaniso, nhau dzekubatana pakati pekambani dzinogona kuchinja zvakanyanya pakusarudza kwekutengeserana, uye nekukurumidza iyo iyo nyanzvi yekubatanidza, vatambi, matengo, avo vanowana avo, vanogona kuiswa mukati mekushandiswa kwegorighidhi kunogona kuwana zvinobatsira mu mamiriyoni emadhora.

04 of 05

Summarization

Ruzivo rwekunyanyisa ruzivo rwechokwadi muzera redu re digital, uye ikozvino kutora kwedu ruzivo uye ruzivo rwakanyanya kudarika simba redu rekunzwisisa. Ichi chiito chinoratidza kuti hapana chiratidzo chekudzikira pasi, uye saka kukwanisa kupfupisa zvinoreva zvinyorwa uye ruzivo zviri kuwedzera kukosha. Izvi hazvikoshi kwete kungotibvumira kukwanisa kuziva uye kugamuchira ruzivo rwakakosha kubva pane zvakawanda zvakadzama deta. Chimwe chidimbu chaidiwa ndechokunzwisisa zvakadzama manzwiro ezvinyorwa, somuenzaniso, zvichienderana nemashoko akawandisa kubva kune zvekugarisana kwevanhu , kambani inogona kutsvaga pfungwa yakawanda yezvinodiwa zvayo zvechigadzirwa here? Iri bazi reNLP richava rinowedzera kushandiswa sechinhu chinokosha chekutengesa.

05 of 05

Mubvunzo Kupindura

Tsvaga injini yakaisa pfuma yenyika yehuturi pamunwe wedu, asi ichiripo kazhinji kacho yakawanda kana iri pamusoro pokupindura chaizvo mibvunzo inobvunzwa navanhu. Google yakaona kushungurudzika kwakakonzera kuvashandisi, avo vanowanzoda kuedza mhinduro dzakasiyana siyana kuti vawane mhinduro ivo vari kutsvaga. Chinangwa chikuru chekuedza kweGoogle muNLP chave chiri chokuziva mibvunzo yemutauro wemhando, kubvisa zvinorehwa, uye kupa mhinduro, uye kushanduka kwaGoogle peji peji kuratidza izvi. Kunyange zvazvo zviri nani kuchinjeka, ichi chinoramba chiri dambudziko guru rekutsvaga injini, uye chimwe chezvinyorwa zvinokosha zvekutsvakurudza kwemitauro yekushandura mutauro.