DeepL vs. Google Translate: Kuenzanisa Masevhisi eKushandura Muchina
Kusimuka kweNeural Machine Translation
Mumakore achangopfuura, kugona kushandura nemuchina kwave kufambira mberi nekukurumidza, neshanduro yemuchina weneural irikubuda senzira yakaomarara. Inoshandisa maalgorithms ekudzidza kwakadzama uye nehungwaru hwekugadzira kuti ibudise shanduro dzemhando yepamusoro dzinowanzoenderana kana kudarika nhanho dzevanhu.
Neural muchina dudziro inoshanda nekudzidzisa multilayered neural network pane makuru makuru ezvinyorwa zvemitauro miviri. Nekuongorora huwandu hukuru hweshanduro dzevanhu vane hunyanzvi, mamodheru ekudzidza muchina anogona kuona mapatani, kubata mitemo, kunzwisisa mitauro yakasiyana, uye kuona nzira dzakanakisa dzekushandura mavara pakati pemitauro miviri.
Maviri eanotungamira masevhisi anosimudzira-kumucheto neural network iGoogle Translate uye DeepL. Google Translate inopinda muGoogle's proprietary neural engine kuti ishandure mavara mumitauro inodarika 100 nemazvo zvinokatyamadza. DeepL inotarisa zvakanyanya pakushandura kwechokwadi semubairo wemakwikwi. Inodzidzisa akakwenenzverwa neural network pane akakura dhatabhesi ezvinyorwa zvemitauro miviri kubva kumasangano akaita seUnited Nations, achigonesa DeepL kubata kunyangwe zvidiki nuances nemazvo.
Iko kuenderera mberi kwekufambira mberi kwemaalgorithms ekudzidza kwemuchina uye kukura kwedhata rekudzidziswa kunoenderera mberi nekufambisa kukurumidza kuvandudzwa mukugona kwekushandura. Neural network ikozvino inogonesa mabhizinesi kuti aturike zvine muripo zvirimo pachiyero uku achichengetedza mhando yepamusoro. Izvi zvinovhura mikana mitsva yekuti masangano aite mumisika yepasi rose nekuisa nzvimbo yavo yepamhepo.
Misiyano Yakakosha Pakati peDeepL neGoogle Translate
Padanho repamusoro, nepo Google Translate ichipa tsigiro yemutauro wakafara uye kuoneka kukuru kweveruzhinji, DeepL inoisa mukurumbira wayo mukuunza huchokwadi hwese hwekushandura uye mhando. Ongororo dzakazvimiririra dzebato rechitatu dzakawana DeepL kuti ibudirire zvakanyanya kupfuura Google Translate mukuyedza-kutarisana-musoro inoongorora shanduro kubva kuChirungu kuenda mumitauro yakaita seGerman, French neSpanish.
Mukana uyu ungangove unobva kuDeepL imwe yekutarisa pakukwana kwete chiyero. Kambani iyi inoita kunge yakakwenenzvera mativi ese emanetiweki ayo kuti iburitse mibairo yemhando yepamusoro yemitauro miviri yainotsigira, pane kutsvaga nzira yekudzidzisa yakakura asi inogona kudzikiswa mumitauro 100+ seGoogle.
Dzese DeepL neGoogle zvinopa zvakafara zvakafanana sarudzo dzekutsigira mutengi senge online ruzivo mabhesi, maforamu enharaunda uye akabhadhara zvirongwa zvebhizinesi zvine hunyanzvi hwakawedzerwa. DeepL ine mupendero mudiki munzvimbo yevatengi nekupa yakamira desktop desktop application yeWindows neMac, nepo Google Translate iri pawebhu uye nharembozha. Nekudaro, kumakesi mazhinji ekushandisa, sarudzo mbiri dzinotungamira pamusika dzinoratidzika kuenzaniswa mumhando uye mashandiro, neDeepL yakazvipira kuita optimization yakanangana nemazvo emhando yekududzira muchina. Izvi zvinozvipa muganho kune vashandisi vakanangana zvakanyanya nekurongeka.
Kusarudza Maitiro Ekushandura Muchina Yakarurama
Kuona yakanakira muchina kushandura mhinduro kune rimwe bhizinesi kunoenderana zvakanyanya nezvavanoda uye zvavanokoshesa. Kune mitauro miviri miviri seChirungu kuenda kuSpanish, French kana Germany, DeepL inoratidzika kunge iine bhenefiti yechokwadi yakavakirwa pazvidzidzo zvakaitwa. Nekudaro, kune yakawanda niche mitauro pairi, tsigiro yeGoogle yeinopfuura mitauro ye100 inopa iyo yepamusoro.
Panzvimbo pekuvharira mupi mumwe chete, zano rakangwara ndere kutora nzira inoshanduka, yakasanganiswa inosanganisa matekinoroji akawanda. Pashanduro yepawebhusaiti, mapuratifomu akaita seConveyThis anoratidza uzivi uhwu nekubatanidza zvisina musono musanganiswa wakasiyana-siyana weinjini dzekushandura neural, kusanganisira zvese DeepL neGoogle Translate kuwedzera kuMicrosoft Translator neYandex. Zvichienderana nezvinodiwa zvakasiyana zvemitauro miviri uye mhando yezvinyorwa, ConveyThis inotemesa uye inosarudza iyo injini yemhando yepamusoro ingangounza kududzira kwakanakisa uye mhedzisiro. Iyi inogoneka, ine zvimiso nzira inobvumira kubatsirwa kubva kune yega yega tekinoroji kusimba uku uchidzikisa kusasimba kuburikidza nehunyanzvi.
Iwo Mabhenefiti Akakosha eConveyThis kune Mawebhusaiti
Seyo otomatiki webhusaiti webhusaiti chikuva, ConveyThis inopa akati wandei akasiyana mabhenefiti: Seamless kusanganisa neese makuru emukati manejimendi masisitimu uye mapuratifomu anosanganisira WordPress, Shopify, Wix nezvimwe. Izvi zvinodzivirira yakaoma tsika software kuvandudza. Kushandura otomatiki kwemawebhusaiti ese, kwete kungozvimiririra. Mhinduro inokambaira uye inobvisa zvese zvinyorwa kubva pamapeji kuti zviitwe. Ongorora uye kugadzirisa kugona kukwenenzvera mitsva yemuchina inobuda kuburikidza nevanhu post-editing zvichibva pane zvakakosha. API yekuwana masevhisi eshanduro yemunhu kune zvese zviri zviviri kusanganisa otomatiki uye zvinodiwa nenyanzvi. Kuita otomatiki kwemitauro yakawanda SEO maitiro akanakisa anosanganisira URL chimiro, hreflang tag uye yekutsvaga injini indexing. Kugona kutarisisa mapeji akashandurwa mukati mepuratifomu dashboard kusimbisa kutendeseka kwemukati. Maturusi ekushandira pamwe senge mabasa evashandisi uye mvumo yekufambisa zvikwata uye vaturikiri vekunze vanobatsira kugadzirisa mawebhusaiti. Kuenderera mberi nekuongorora kwekuvandudza kweinjini uye kuyedzwa kwemhando yeshanduro kuti uve nechokwadi chemibairo yakakwana nekufamba kwenguva.
Uku kusanganiswa kwakasiyana-siyana kwemichina yeshanduro yemuchina inowedzerwa neshanduro yemunhu inobvumira kuunza kugona kwewebhusaiti yehunyanzvi asi isingadhuri.
Kubudirira Nhau uye Shandisa Nyaya dzeConveyThis
Heino mienzaniso mishoma yepasirese inotaridza mabatiro akaitwa neConveyThis kune vatengi vari kushandura mawebhusaiti avo: Nzvimbo yeEuropean e-commerce inotengesa zvipfeko zveumbozha uye zvishongedzo zvakashandiswa ConveyThis kushandura katalog yavo yezvigadzirwa zvinodarika zana nemakumi mashanu mumitauro mitatu. Iyo yese maitiro yakatora isingasviki mazuva gumi nemashanu kubva pakubatanidzwa kuenda-kurarama. Kushanya kwewebhusaiti yepasirese kwakazowedzera kupfuura 400%. Kambani yepasi rose yeSaaS ine ruzivo rwakakura rwezvinyorwa zvekutsigira tekinoroji uye vhiki nevhiki blog inogadziridza kubva kunyanzvi dzezvidzidzo yaipedza maawa mana+ pasvondo ichiturikira zvinyorwa. Nekushandisa ConveyThis, vakadzikisa nguva yekushandura kusvika pamaminetsi makumi matatu uku vachiwedzera kuburitsa. Iyo inotungamira yeEuropean fashoni brand yaida kuwedzera traffic kune yavo yepamhepo magazini yakanangana nevaverengi veGerman. Mushure mekubatanidza ConveyThis nekushandura otomatiki kwezvinyorwa zvitsva, vakaona kuwedzera kwe120% muGerman blog traffic mukati memwedzi miviri.
Makesi akasiyana-siyana ekushandisa uye verticals anosimbisa mashandisirwo ewebhusaiti kuburikidza neotomatiki shanduri yemuchina inogona kupa kukosha kwakakura mumaindasitiri nekubatana nevateereri vekunze.
Kurudziro dzeNyanzvi paKukwirisa Kubudirira Kweshanduro yemuchina
Kunyange zvazvo masevhisi epamusoro ekushandura emuchina anhasi achiita kuti kubudirira pamwero kugoneke, maitiro ane fungwa uye zano rinoramba rakakoshera mukuwedzera mashandiro. Hedzinoi mazano akakosha enyanzvi paunenge uchishandisa shanduro yega yega: Tanga nekuva nechokwadi chekuti pane hwaro hwakasimba hweshanduro dzemhando yepamusoro dzevanhu dzinosvika 30-50 mapeji akakosha ewebhusaiti pamutauro wega wega. Izvi zvinopa neural injini data rakakosha rekudzidzisa kuti rigadzirise kune yako saiti temu uye chimiro. Kuburitswa kwemutauro wePhase nenzira yakapedza kudzidza zvichibva pane zvinofambiswa nedata zvekutanga zvebhizinesi uye huwandu hwemapeji akaturikirwa nevanhu akagadzirira. Mimwe misika inogona kukodzera kutangwa. Bvunza mitauro yakawanda SEO maitiro akanakisa uye ita makiyi optimizations se hreflang tag kubva pakutanga kwe indexation. Ramba uchiwedzera mapeji akaturikirwa nevanhu mumitauro yakanangwa kuti uvandudze huchokwadi hwemuchina kuburikidza nekudzidziswa kunoenderera mberi. Monitor analytics kuona mazinga ekubatanidzwa uye ROI nemutauro kutungamira mari. Rega data rizivise zvekutanga. Natsa maitiro ekukumbira nekugadzirisa shandurudzo dzevanhu kuti utarise kushanda nesimba pamapeji eukoshi hwepamusoro. Tsvaga optimization. Shandisa ese munhu uye otomatiki emhando cheki kuti uone zvinobuda. Ita zvigadziriso loop.
Iine hwaro hwehungwaru hwakakodzera uye mafambiro ebasa ari panzvimbo, kushandura kwemuchina kunova chinhu chinotyisa chinokurumidzisa kuburitsa mawebhusaiti enzvimbo uye zvirimo.
Ramangwana reTekinoroji Yekushandura Muchina
Kunyange zvave kutokwanisa zvakanyanya nhasi, mhinduro dzemuchina dzichaenderera mberi nekuvandudza mumakore anouya sezvo tsvakiridzo inofambira mberi. Zvimwe zvitsva zvitsva zviri pamusoro zvinosanganisira: Kuwedzera kuziva kwemamiriro ezvinhu kupfuura zvinyorwa. Panzvimbo pekungoongorora magwaro, injini dzinogona kusanganisira ruzivo rwepasirese uye metadata kuvandudza kunzwisisa. Kunyanya kubata kwakaringana kwemazwi emitauro semanzwiro, toni uye zvinoreva zvinoreva kuburikidza nekunyanya kuoma.
Rutsigiro rwakawedzerwa rwemitauro isinganyanyi kunyanyozivikanwa nekudzidziswa masisitimu pane yakakura data yakatorwa kubva kuzvinyorwa zvakaita seWikipedia volunteer dudziro. Kuita kwakasimba uye hunyanzvi hwehunyanzvi munzvimbo dzepamusoro-soro senge zvemutemo, zvekurapa uye zvehunyanzvi kunyora kuburikidza nemaseti akatariswa. Kubatanidzwa kwakasimba nemultimedia zvemukati, yekukurukurirana nzvimbo uye dudziro yekutaura inotungamirwa nekukura kwekuda muvhidhiyo, izwi uye IoT. Kuwedzeredzwa kubatanidzwa mukugadzira kuyerera kuburikidza nezviri nyore-kushandisa-ekugadzirisa maturusi ekukurumidza kuongororwa kwevanhu kwakasanganiswa.
Nekudaro, kune mazhinji anoshanda mabhizinesi ekushandisa nhasi, neural muchina dudziro yakatokura zvakakwana kuunza yakasarudzika kukosha uye ROI yemitauro yakawanda webhusaiti. Nekuitwa kwakaringana, tekinoroji inokwanisa zvizere kufambisa yakakura kukura kwepasirese nemukana kuburikidza nekubatana nevateereri vekunze.
Mhedziso
Muchidimbu, masevhisi epamusoro ekushandura emuchina wemazuva ano akaita seDeepL neGoogle Translate anopa nzira dzakabvumikiswa kuti makambani atore mawebhusaiti zvine mutsindo pamwero wakakura. Nekugamuchira kududzira otomatiki, masangano anogona kupedzisira apinda mune yakakura inogona kudiwa kubva kune vasingataure Chirungu vashandisi veinternet pasi rese.
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