Jagoran Harshe AI

WordPiece Tokenization

WordPiece shine algorithm ɗin token ƙayyadaddun kalmomi waɗanda ke ba da ikon BERT da ƙira Google da yawa, yana raba kalmomi zuwa gaɓoɓin da za a sake amfani da su ta yadda samfurin zai iya sarrafa kowane rubutu tare da ƙayyadaddun ƙamus.

Dubawa

WordPiece shine algorithm ɗin token ƙayyadaddun kalmomi waɗanda ke ba da ikon BERT da ƙira Google da yawa, yana raba kalmomi zuwa gaɓoɓin da za a sake amfani da su ta yadda samfurin zai iya sarrafa kowane rubutu tare da ƙayyadaddun ƙamus. Shi ya sa samfurin da bai taɓa ganin 'rashin jin daɗi' ba zai iya fahimtarsa ​​ta hanyar karanta 'un', '##happy', da '##ness'.

WordPiece Tokenization wani ɓangare ne na tarin harshe-AI da ake amfani da shi don karantawa, ƙirƙira, rarrabuwa, da canza rubutu da magana a sikeli.

Zurfafa nutsewa

WordPiece yana gina ƙamus na raka'o'in ƙananan kalmomi maimakon duka kalmomi ko haruffa guda ɗaya. Farawa daga ɗaiɗaikun haruffa, cikin zari yana haɗa alamomin guda biyu waɗanda galibi suna ƙara yuwuwar ƙungiyar horarwa, tana maimaituwa har sai ta kai ga girman ƙamus (BERT yana amfani da alamun kusan 30,000). A cikin ƙididdiga, yana nuna alamar haɗama daga hagu-zuwa-dama, daidai da mafi tsayin kalma a cikin ƙamus, sannan a ci gaba da saura. Ci gaba da guda a cikin kalma ana yiwa alama da prefix '##', don haka 'wasa' ya zama 'wasa' + '##ing'. Wannan yana magance matsalar rashin ƙamus: ƙananan kalmomi ko ganuwa kawai suna ruɗuwa zuwa gaɓoɓin sananniya, zuwa haruffa ɗaya idan an buƙata, yayin da kalmomin gama gari suna zama a matsayin alamomi guda ɗaya don inganci.

Fahimtar Fasaha

WordPiece ya bambanta da Byte-Pair Encoding a cikin ma'aunin haɗin kai. BPE ya haɗu da mafi yawan lokuta maƙwabta; WordPiece yana haɗa nau'ikan biyu waɗanda ke haɓaka yuwuwar-bayanan horo, kusan zaɓar nau'ikan waɗanda mitar haɗin gwiwa suka fi wuce samfuran mitocin sassanta. Alamar '##' tana bambanta ɓangarorin farko-kalmomi daga ci gaba, yana barin alamar ta sake gina iyakokin kalma ba tare da wata shakka ba yayin yanke hukunci zuwa rubutu.

Jagorar WordPiece Tokenization

WordPiece shine algorithm ɗin token ƙayyadaddun kalmomi waɗanda ke ba da ikon BERT da ƙira Google da yawa, yana raba kalmomi zuwa gaɓoɓin da za a sake amfani da su ta yadda samfurin zai iya sarrafa kowane rubutu tare da ƙayyadaddun ƙamus. Shi ya sa samfurin da bai taɓa ganin 'rashin jin daɗi' ba zai iya fahimtarsa ​​ta hanyar karanta 'un', '##happy', da '##ness'. WordPiece Tokenization wani ɓangare ne na tarin harshe-AI da ake amfani da shi don karantawa, ƙirƙira, rarrabuwa, da canza rubutu da magana a sikeli. Don gina fahimta mai zurfi, bi da WordPiece Tokenization a matsayin samfurin aiki, ba fasali ɗaya ba: ayyana sakamakon da ake so, bayyana zato, da kuma raba abin da tsarin zai iya yi da dogaro daga abin da har yanzu yana buƙatar yanke hukunci na ƙwararru.

A aikace, ƙungiyoyi masu ƙarfi da ke amfani da ƙirar WordPiece Tokenization suna sawa, dawo da, da sake duba madaukai azaman tsarin sadarwa mai haɗaka. Suna rubuta ƙayyadaddun ƙa'idodin nasara, gwaji akan bayanan gaskiya da gudanawar aiki, da jujjuyawar bisa ga tsarin gazawar da aka lura maimakon cin nasara na lokaci ɗaya. Wannan shine inda fahimtar ka'idar ta juya zuwa iyawa mai dorewa a cikin samfura, manufofi, da ayyuka.

Gudun aikin harshe na iya tafiya da sauri ba tare da sadaukar da daidaito ba. A lokaci guda, abubuwan da ba a iya gani ba na iya shigar da rahotanni cikin nutsuwa, kwararar goyan baya, ko abubuwan bincike. Hanyar da ta fi dacewa ita ce haɗa saurin gwaji tare da horon gudanarwa: gudanar da matukin jirgi, kama shaida, buga rajistan ayyukan yanke shawara, da ci gaba da sabunta abubuwan tsaro kamar yadda halayen ƙira, tsammanin mai amfani, da buƙatun tsari ke tasowa.

Dabarun Tasiri

Gudun aikin harshe na iya tafiya da sauri ba tare da sadaukar da daidaito ba.

Gudun aikin harshe na iya tafiya da sauri ba tare da sadaukar da daidaito ba. A cikin ƙawance masu inganci, ana fassara wannan zuwa ƙa'idodin aiki waɗanda za a iya aunawa, iyakokin ikon mallaka, da kuma bita-da-kullin bita don ƙungiyoyi su iya haɓaka kwarin gwiwa a maimakon ɓata shakku.

Yana faɗaɗa damar shiga cikin harsuna da salon sadarwa.

Yana faɗaɗa damar shiga cikin harsuna da salon sadarwa. A cikin ƙawance masu inganci, ana fassara wannan zuwa ƙa'idodin aiki waɗanda za a iya aunawa, iyakokin ikon mallaka, da kuma bita-da-kullin bita don ƙungiyoyi su iya haɓaka kwarin gwiwa a maimakon ɓata shakku.

Ƙungiyoyi za su iya ciyar da ƙarin lokaci akan hukunci yayin da aiki da kai ke sarrafa maimaitawa.

Ƙungiyoyi za su iya ciyar da ƙarin lokaci akan hukunci yayin da aiki da kai ke sarrafa maimaitawa. A cikin ƙawance masu inganci, ana fassara wannan zuwa ƙa'idodin aiki waɗanda za a iya aunawa, iyakokin ikon mallaka, da kuma bita-da-kullin bita don ƙungiyoyi su iya haɓaka kwarin gwiwa a maimakon ɓata shakku.

Makomar WordPiece Tokenization

Sabbin manyan nau'ikan harshe suna ƙara fifita matakin BPE (iyalin GPT) ko ƙirar jumlaPiece unigram, waɗanda ke guje wa takamaiman harshe da sarrafa kowane shigarwar Unicode. WordPiece ya kasance mai tushe a cikin maƙallan da aka samo daga BERT har yanzu ana tura ko'ina don bincike da rarrabuwa. Yi tsammanin ci gaba da amfani a cikin samarwa NLP, tare da bincike cikin byte marasa kyauta da ƙila waɗanda a ƙarshe zasu iya rage dogaro ga ƙayyadaddun ƙayyadaddun ƙamus na ƙayyadaddun kalmomi gaba ɗaya.

Aiwatar da Gaskiyar Duniya

BERT tana ba da alamar tambayoyin bincike a cikin Google Bincika, karya kalmomin da ba a sani ba zuwa cikin ƙananan kalmomi don har yanzu samfurin ya dace da shafukan da suka dace.

Hugging Face's BertTokenizer yana amfani da WordPiece don musanya ɗanyen rubutu zuwa ID ɗin alama da aka ciyar da BERT don nazarin ji da kuma tantance sunan mahaɗan.

BERT na harsuna da yawa yana amfani da ƙamus ɗin WordPiece da aka raba a cikin harsuna sama da 100, yana barin a sake amfani da gutsuttsura a cikin rubutun da ke da alaƙa.

DistilBERT da bambance-bambancen BERT na asibiti/biomedical sun gaji WordPiece, suna sarrafa kalmomin da ba kasafai ake samun su ba kamar 'pneumonoconiosis' ta hanyar raba su cikin sanannun guda.

Hanyoyin Aiwatarwa

WordPiece Tokenization a aikace

BERT tana ba da alamar tambayoyin bincike a cikin Google Bincika, karya kalmomin da ba a sani ba zuwa cikin ƙananan kalmomi don har yanzu samfurin ya dace da shafukan da suka dace.

BERT tana ba da alamar tambayoyin bincike a cikin Google Bincika, karya kalmomin da ba a sani ba cikin ƙananan kalmomi don haka samfurin zai iya daidaita shafukan da suka dace Ƙungiyoyi yawanci suna samun sakamako mafi kyau lokacin da suka ayyana ma'auni masu inganci a gaba, kiyaye hanyar haɓakar ɗan adam don ƙararraki, da bin diddigin nasarorin samfura da tsadar kurakurai a kan lokaci.

WordPiece Tokenization a aikace

Hugging Face's BertTokenizer yana amfani da WordPiece don musanya ɗanyen rubutu zuwa ID ɗin alama da aka ciyar da BERT don nazarin ji da kuma tantance sunan mahaɗan.

Hugging Face's BertTokenizer yana amfani da WordPiece don canza danyen rubutu zuwa ID na alamar da aka ciyar zuwa BERT don nazarin jin daɗi da ƙididdiga masu suna yawanci suna samun sakamako mafi kyau lokacin da suka ayyana ma'auni masu inganci a gaba, kiyaye hanyar haɓakar ɗan adam don ƙararraki, da bin diddigin nasarorin samarwa da ƙimar kuskure akan lokaci.

WordPiece Tokenization a aikace

BERT na harsuna da yawa yana amfani da ƙamus ɗin WordPiece da aka raba a cikin harsuna sama da 100, yana barin a sake amfani da gutsuttsura a cikin rubutun da ke da alaƙa.

Multilingual BERT yana amfani da ƙamus na WordPiece da aka raba a cikin harsuna 100+, barin sake amfani da gutsuttsura a cikin rubutun da ke da alaƙa Ƙungiyoyi yawanci suna samun sakamako mafi kyau lokacin da suka ayyana ma'auni masu inganci a gaba, kiyaye hanyar haɓakar ɗan adam don ƙararraki, da bin diddigin nasarorin samarwa da tsadar kurakurai a kan lokaci.

WordPiece Tokenization a aikace

DistilBERT da bambance-bambancen BERT na asibiti/biomedical sun gaji WordPiece, suna sarrafa kalmomin da ba kasafai ake samun su ba kamar 'pneumonoconiosis' ta hanyar raba su cikin sanannun guda.

DistilBERT da bambance-bambancen BERT na asibiti/biomedical sun gaji WordPiece, suna sarrafa kalmomin likitanci da ba kasafai ba kamar 'pneumonoconiosis' ta hanyar raba su cikin sanannun guda Ƙungiyoyi yawanci suna samun sakamako mafi kyau lokacin da suka ayyana ma'auni masu inganci a gaba, kiyaye hanyar haɓaka ɗan adam don lokuta masu ƙima, da bin diddigin nasarorin samarwa da ƙimar kuskure akan lokaci.

Hatsari & Tsare-tsare

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Abubuwan da aka ruɗe suna iya shigar da rahotanni cikin nutsuwa, kwararar tallafi, ko abubuwan bincike.

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Hankali na gaggawa na iya ƙirƙirar sakamako mara daidaituwa a cikin buƙatun iri ɗaya.

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Za a iya fallasa bayanan rubutu mai ma'ana idan ikon samun dama yana da rauni.

Taswirar Hanya

1

Ƙayyade tsarin fitarwa, sautin, da ma'auni masu inganci kafin fitowa.

Ƙayyade tsarin fitarwa, sautin, da ma'auni masu inganci kafin fitowa. Ɗauki kowane mataki azaman ƙofar shaida: idan ba a cika sharuɗɗa ba, dakatar da fitar, rufe tazarar, sannan kawai faɗaɗa amfani.

2

Amsa a ƙasa tare da amintattun tushe a duk lokacin da daidaito ya shafi mahimmanci.

Amsa a ƙasa tare da amintattun tushe a duk lokacin da daidaito ya shafi mahimmanci. Ɗauki kowane mataki azaman ƙofar shaida: idan ba a cika sharuɗɗa ba, dakatar da fitar, rufe tazarar, sannan kawai faɗaɗa amfani.

3

Ajiye wurin binciken ɗan adam don abubuwan da ake samu masu girma.

Ajiye wurin binciken ɗan adam don abubuwan da ake samu masu girma. Ɗauki kowane mataki azaman ƙofar shaida: idan ba a cika sharuɗɗa ba, dakatar da fitar, rufe tazarar, sannan kawai faɗaɗa amfani.

4

Bibiyar tsarin gazawar kuma sake horar da tsokaci ko tafiyar aiki akai-akai.

Bibiyar tsarin gazawar kuma sake horar da tsokaci ko tafiyar aiki akai-akai. Ɗauki kowane mataki azaman ƙofar shaida: idan ba a cika sharuɗɗa ba, dakatar da fitar, rufe tazarar, sannan kawai faɗaɗa amfani.

Ci gaba da Bincike