Cabanga ukuthi kwaze kwaba seminyakeni embalwa edlule, ukubukeka kwe-Google okusebenzayo kwafezwa kanjani ngokusebenzisa amagama aqondile alungile ahlelwe ngemibandela yokubuza ye-Boolean. Ngale ndlela, uma nje udinga ukuthola izixazululo ku-Google, kufanele wazi ukuthi kushiwo ulimi. Ngaleso sikhathi i-Google yethula ukulandelana kwe-semantic. Ubudlelwano besazi bezibalo phakathi kwamagama, okukunikeza amandla okubuza umbuzo ngendlela obungenza ngayo kumngane wakho. Ngaphakathi, yenza incazelo yalowo mbuzo ibe yinto ehlelekile ye-Boolean eyayiqonda - kodwa umjikelezo wawungabonakali. Lona kanye ukuqanjwa okusha okukuvumela ukuthi ubuze uSiri ukuthi siyini isimo sezulu namuhla noma ukuthi luluphi uhambo olubiza kancane oluya e-Borneo kusasa, ngaphandle kokushintsha isiNgisi sakho sibe yizindlela zokungena ezinengqondo. Ngakho-ke singasho ukuthi i-NLP iyisandiso phakathi komshini nezilimi zesigodi zabantu.

Ukulungiswa kolimi olujwayelekile (NLP) kuyindawo yobunjiniyela besoftware futhi kukhathazwa ukusebenzisana phakathi kwama-PC nezilimi zomuntu (uphawu). Kubhekiselwa kuqhinga le-AI lokukhuluma ngohlaka lwe-canny olusebenzisa ulimi lwesici, isibonelo, isiNgisi. Esikhathini lapho udinga uhlaka oluhlakaniphile njengerobhothi ukuze uqhubeke ngokuvumelana nezikhombisi-ndlela zakho noma lapho udinga ukuzwa ukukhetha okuvela enkulumweni yohlaka oluyinhloko lomtholampilo kuyadingeka ukuze uphathe ulimi oluvamile. Ngakho-ke empeleni singasho ukuthi inkambu ye-NLP ihlanganisa ukwenza ama-PC enze imisebenzi ewusizo ngezilimi zesigodi ezijwayelekile esizisebenzisayo. Ulwazi kanye nenzuzo yohlaka lwe-NLP kungaba yinkulumo nokuhlolwa okuhlanganisiwe.

Singasho ukuthi Ngaphandle kwe-NLP, ukwazi okwenziwe umuntu kungavele kuqonde ukubaluleka kolimi futhi kuphendule imibuzo eqondile, nokho akukwazi ukuqonda ukubaluleka kwamagama esimisweni. Ngakho, izinhlelo zokusebenza zokuphatha ulimi lwemvelo zivumela amaklayenti ukuthi akhulume ne-PC ngamagama awo, isibonelo ngolimi oluvamile.I-NLP isiza ama-PC ngokufunda nokusabela ngokukhiqiza kabusha amandla omuntu ukuze aqonde ulimi oluvamile olusetshenziswa abantu ukuze baludlulise. Namuhla, kunezimo eziningi zezinhlaka ezivamile zokuphatha ulimi emicabangweni eyenziwe ngumuntu ezisasebenza njengamanje.

Izimo ze-NLP IN AI

1. Ukuxhumana: Izicelo eziningi zokuxhumana ezifana ne-Facebook Messenger manje zisebenzisa ukwazi komuntu. Sekukonke, ukubuka kwe-Facebook kukhuthazwe kakhulu yi-AI. Ezinyangeni ezimbalwa ezedlule, i-Facebook yamemezela usizo lwayo lwe-M oluthembisa ukuphenduka umsizi wakho (ngosuku lokuthunyelwa komphakathi lwe-tbd): "M angenza noma yini umuntu angayenza."

2. Isiphetho esisheshayo: Izibonelo zezinhlaka eziyisici ezilungiselela ulimi ekwazisweni komuntu zisemitholampilo yezokwelapha esebenzisa ukuphatha ulimi oluvamile ukukhombisa ukuzimisela okuthile kumanothi kadokotela angahlelekile. Uhlelo lwe-NLP lwe-mammographic imaging kanye nemibiko ye-mammogram lusekela ukukhishwa nophenyo lolwazi lwezinketho zomtholampilo. Uhlelo lwe-NLP lunganquma ubungozi besifuba ngokukhiqiza kakhulu futhi ngaphezu kwalokho lwenqabe imfuneko yama-biopsies angadingekile futhi lukhuthaze ukwelashwa okusheshayo ngesiphetho sangaphambili.

3. Ukubuyekezwa Kwekhasimende: Ukulungiselela ulimi lwemvelo ekusetshenzisweni kokubonisana kwekhompuyutha kwenza kube lula ukuhlanganisa ukuhlolwa kwempahla kusayithi futhi uqonde ukuthi abathengi bathini ngempela njengokucabanga kwabo mayelana nento ethile. Izinhlangano ezinomthamo omkhulu wokucwaningwa kwamabhuku zingawathola futhi zisebenzise ulwazi oluqoqwe ukuphakamisa izinto ezintsha noma ukuphatha okuncike ekuthambekeleni kwamakhasimende. Lolu hlelo lokusebenza lusiza izinhlangano ukuthi zithole idatha ebalulekile yebhizinisi lazo, zithuthukise ukwethembeka kwabathengi, zincome izinto ezibaluleke kakhulu noma izinzuzo futhi kangcono futhi ziqonde izidingo zeklayenti.

4. Abasizi abathuthukile ababonakalayo: Umsizi oqhelile, obuye abizwe ngesandla sokudla se-AI noma umsizi wekhompyutha, wuhlelo lohlelo lokusebenza oluqonda ama-oda ezwi olimi oluvamile futhi luqedele imisebenzi eyabelwe iklayenti. Ama-DA angasiza abathengi ngokushintshanisa ama-exercises noma enze lula imisebenzi yendawo yocingo ukuze anikeze ukuhlangana kwamaklayenti aphezulu futhi anciphise izindleko zokusebenza. Sizobona ngokuqhubekayo lezi zinhlelo zokusebenza kumagajethi ahlukene, isibonelo, izinhlelo ze-PC, izinhlaka zasekhaya ezihlakaniphile, izimoto kanye nemakethe yebhizinisi.

Izicelo Zokucubungula Ulimi Ezinezici:

Ukuhumusha Komshini

Siyaqaphela ukuthi isilinganiso sedatha efinyeleleka ku-inthanethi siyathuthuka, ngakho isidingo sokufika kuyo sibonakala sibaluleka kancane kancane futhi ukulinganiselwa kwezinhlelo zokusebenza zokuphatha ulimi ezivamile kuvela kucace. Ukuhumusha ngomshini kusikhuthaza ukuthi sinqobe imingcele yolimi esivame ukuyithola ngokuchaza amamanuwali akhethekile, sibambe izinto noma izinhlu ngezindleko ezinciphile. Ukuhlolwa okuthuthukisiwe kokutolika ngomshini akukho ekuchazeni amagama, nokho ekuqondeni ukubaluleka kwemisho ukuze unikeze incazelo yangempela.

Uhlaka oluhleliwe

Uma kwenzeka sidinga ukufinyelela kumazwibela athile, abalulekile edatha asuka kusisekelo solwazi esikhulukazi, ulwazi oluthe xaxa luyinkinga yangempela. Isifinyezo esihleliwe asibalulekile nje ekufingqeni ukubaluleka kwemibiko nedatha, kodwa ngaphezu kwalokho ukuze siqonde imithelela yentshiseko ngaphakathi kwedatha, isibonelo, ekuqoqeni ulwazi kwabezindaba ze-inthanethi.

Ukuhlolwa kwesiphakamiso

Inhloso yokuhlolwa kwesiphetho iwukubona umbono phakathi kokuthunyelwe okumbalwa noma kokuthunyelwe okufanayo lapho umuzwa ungadluliswanga ngokungananazi kuzo zonke izimo. Izinhlangano zisebenzisa izinhlelo zokusebenza zokuphatha ulimi ezivamile, isibonelo, uphenyo lwezilinganiso, ukuze zibone imibono nokuqagela ku-inthanethi ukuze zizisize ekuqondeni umbono wamakhasimende ezintweni zawo nokuphatha kanye nokumaka ngokujwayelekile kokuma kwazo. Ukunquma okudlule okuqondile, ukuhlolwa kwesiphetho kuqonda umbono esimweni esithile.

Ukwenziwa kwezinhlamvu zombhalo

Ukuhleleka kombhalo kwenza kube lula ukuqoka izigaba ezichazwe ngaphambilini kungobo yomlando futhi ukulungise ukuze uthole idatha oyidingayo noma wenze lula izivivinyo ezimbalwa. Isibonelo, ukusetshenziswa kokuhlelwa kombhalo kuwukuhlukanisa ugaxekile kuma-imeyili.

Ukuphendulwa Kwemibuzo

I-Question-Answering (QA) ibukeka ivame kakhulu ngenxa yokusetshenziswa, isibonelo, i-Siri, i-OK Google, amabhokisi okuxoxa nabasizi abaphansi. Uhlelo lwe-QA luwuhlaka olukwazi ukwenza ngokusobala ukucela komuntu. Ingase isetshenziswe njengesixhumi esibonakalayo sokuqukethwe noma njengohlaka lwenkulumo eveziwe. Lezi zingxenye ezisele ziwukuhlolwa okufanele ikakhulukazi kwezinkomba zewebhu, futhi kungenye yezimiso zokusetshenziswa kocwaningo lokulungiselela ulimi oluyisici.

Isiphetho sokugcina se-NLP

Siyini isiphetho ekugcineni solimi oluvamile?

Amabhothi

ama-chatbots aphendula imibuzo yeklayenti futhi awaqondise ezimpahleni nasezintweni ezisebenzayo nganoma isiphi ihora noma nini. Ivamise ukusetshenziswa ekusizeni amaklayenti, ikakhulukazi emabhange, ezokudayisa kanye nomakhelwane. Ikakhulukazi esilungiselelweni sokunakekelwa kweklayenti ama-chatbots kufanele asheshe, ahlakaniphe futhi abe lula ukuwasebenzisa, ngezizathu zokuthi amakhasimende anezindinganiso ezikhethekile (futhi kwezinye izimo aphansi ukuphikelela). Ukuze kuzuzwe lokhu, ama-chatbots asebenzisa i-NLP ukuze athole ulimi, ikakhulukazi ngokuqukethwe noma ukusebenzisana kokwazisa ngezwi, lapho amaklayenti edlulisela ngamazwi awo, njengoba ekhuluma nochwepheshe. Lokhu kusiza okunwetshiwe kuzozuzisa izinhlobo ezahlukene zama-bots ukuze ziphumelele futhi zibe ngokwemvelo ngokuhamba kwesikhathi, kusukela kubasizi abakude njenge-Siri ne-Amazon's Alexa kuya ezigabeni ze-bot ezisebenza ngekhompyutha kakhulu noma isabelo esikhona. Lawa ma-bot azosebenzisa i-NLP kancane kancane ukuze athole umlayezo futhi enze imisebenzi, isibonelo, ukwabelana ngolwazi lwe-geoinformation, ukubuyisela ukuxhumana nezithombe noma senze eminye imisebenzi edida ingqondo yethu.

Isekela i-UI engabonakali

Inhlangano ngayinye esinayo nemishini ukuxhumana kwabantu (kokubili ingxoxo nombhalo). I-Amazon's Echo iyimodeli eyodwa kuphela ebeka abantu ngokuqondile ukuthintana nezinto ezintsha. Umbono we-UI engabonakali noma enguziro uzoncika ekuhlotshaneni okuqondile phakathi kweklayenti nomshini, kungakhathaliseki ukuthi ngezwi, umbhalo noma inhlanganisela yakho kokubili. I-NLP enomthelela ekuqondeni okunengqondo okugqame kakhudlwana kolimi lwabantu, ekugcineni kosuku, njengoba ithuthukisa ukusibukela phansi—lokho esikushoyo kungakhathaliseki ukuthi sikusho kanjani, nokuthi senzani—izoba yisisekelo kunoma iyiphi i-UI engatholakali noma engekho. isicelo.

Ukuzingela okuhlakaniphile

I-serach ehlakaniphe kakhulu isho ukuthi amaklayenti angalungela ukubheka ngokusebenzisa imiyalo yezwi esikhundleni sokuqamba noma ukusebenzisa amagama okubuka. Isiphetho sokugcina se-NLP futhi esokubuza okuhlakaniphile—into ebesixoxa ngayo lapha ku-Expert System isikhathi eside. Kusukela kamuva, i-Google imemezele ukuthi yengeze amandla e-NLP ku-Google Drayivu ukuze avumele amaklayenti ukuthi abheke amarekhodi nezinto zisebenzisa ulimi lwengxoxo.

Ulwazi oluvela kudatha engahlelekile

Amalungiselelo e-NLP azohlanganisa kancane kancane ukuqonda okuwusizo okuvela kulwazi olungahlelekile, isibonelo, imilayezo yesakhiwo eside, okurekhodiwe, imisindo, njalonjalo Bayoba nokukhetha ukuhlukanisa ithoni, izwi, ukukhethwa kwamagama, nokusikisela kolwazi ukuze bahlanganise ukuhlolwa. , isibonelo, ukulinganisa ukwethembeka kwabathengi noma amaphuzu okuhlukanisa ubuhlungu.