Sashe na-Magana Tagging
Sashin-magana (POS) yana yiwa kowace kalma alama a cikin jimla tare da matsayinta na nahawu, kamar suna, fi'ili, ko siffa.
Dubawa
It is a foundational NLP step that helps machines understand sentence structure and resolve words that mean different things in different contexts.
Zurfafa nutsewa
Kalmomi da yawa suna da ban sha'awa: 'littafi' suna ne a cikin 'karanta littafi' amma fi'ili a cikin 'book a flight,' kuma 'baya' na iya zama suna, fi'ili, sifa, ko karin magana. POS tagging yana amfani da mahallin kewaye don zaɓar alamar da ta dace, wanda shine dalilin da ya sa mahallin yana da mahimmanci. Tsarin Ingilishi yakan yi amfani da tagset na Penn Treebank, wanda ke da alamun alamun kusan 36 (NN don suna guda ɗaya, VBD don kalmar fi'ili, JJ don siffa, da sauransu), yayin da Tsarin Dogara na Duniya ya bayyana ƙarami, tsaka-tsakin harshe na kusan alamun 17 don daidaiton yare. Takaddun POS suna ciyar da ayyuka na ƙasa: suna taimakawa tantance sunan mahaɗan, tantancewa, da cire bayanai, kuma suna barin kayan aikin bincike da nahawu su bi kalmomi daidai. Madaidaicin sawa akan rubutu mai tsafta yanzu ya zarce 97%, kodayake rubutu na yau da kullun, ɓatanci, da canza lambar ya kasance da wahala.
Fahimtar Fasaha
Classic taggers sun yi amfani da Hidden Markov Model, zabar jerin alamar tare da mafi girman yuwuwar hadewar kowane tag da aka ba kalmar kuma an ba da alamar da ta gabata. Masu tambarin zamani suna ciyar da abubuwan haɗin kai daga samfura irin su BERT zuwa cikin ƙira mai ƙira wanda ke yiwa kowane alama alama, galibi tare da Layer wanda ke tilasta canjin tag mai ma'ana. Domin kalma ɗaya na iya ɗaukar alamomi daban-daban, ƙirar dole ne ta karanta jimla gabaɗaya, ba kowace kalma a keɓe ba, wanda shine ainihin abin da ke tattare da mahallin.
Dabarun Tasiri
Gudu da sikelin
Gudun aikin harshe na iya tafiya da sauri ba tare da sadaukar da daidaito ba.
Shiga ku isa
Yana faɗaɗa damar shiga cikin harsuna da salon sadarwa.
Shawarwari masu haske
Ƙungiyoyi za su iya ciyar da ƙarin lokaci akan hukunci yayin da aiki da kai ke sarrafa maimaitawa.
Makomar Sashe na Magana Tagging
Bayyananniyar alamar POS tana ƙara shiga cikin manyan samfuran da aka riga aka horar, waɗanda ke koyon tsarin nahawu a fakaice, don haka masu tambarin tsaye ba su da mahimmanci ga manyan harsunan albarkatu kamar Ingilishi. Amma tambarin POS yana da mahimmanci ga ƙananan harsunan albarkatu, bincike na harshe, da bututu masu nauyi inda cikakken LLM ya wuce kima. Yi tsammanin ci gaba da ci gaba akan rubutun kafofin watsa labarun mai surutu, shigarwar harsuna da yawa da lambar, da rubutun tarihi ko na musamman. A matsayin mai sauri, toshe ginin ginin fassara, alamar POS zai kasance wani ɓangare na kayan aikin NLP kamar yadda ƙirar ƙarshe zuwa ƙarshe ke mamaye ayyuka masu walƙiya.
Aiwatar da Gaskiyar Duniya
Masu duba nahawu suna amfani da alamomi don gano kurakurai, kamar fi'ili inda ake tsammanin suna.
Injin bincike suna bambanta 'littafi' suna daga 'littafi' kalmar fi'ili don dawo da sakamako mai kyau.
Gane bututun mai suna ta amfani da alamun POS azaman fasali don nemo mutane, wurare, da ƙungiyoyi.
Tsarukan rubutu-zuwa-magana ta amfani da alamomi don zaɓar madaidaicin lafazin kalmomin da suka dace kamar 'karanta' (na yanzu vs. baya).
Hatsari & Tsare-tsare
Abubuwan da aka ruɗe suna iya shigar da rahotanni cikin nutsuwa, kwararar tallafi, ko abubuwan bincike.
Hankali na gaggawa na iya ƙirƙirar sakamako mara daidaituwa a cikin buƙatun iri ɗaya.
Za a iya fallasa bayanan rubutu mai ma'ana idan ikon samun dama yana da rauni.
Taswirar Hanya
Ƙayyade tsarin fitarwa, sautin, da ma'auni masu inganci kafin fitowa.
Amsa a ƙasa tare da amintattun tushe a duk lokacin da daidaito ya shafi mahimmanci.
Ajiye wurin binciken ɗan adam don abubuwan da ake samu masu girma.
Bibiyar tsarin gazawar kuma sake horar da tsokaci ko tafiyar aiki akai-akai.
Ci gaba da Bincike
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Jagora na gaba
Rubutu zuwa Magana
Tambayoyin da ake yawan yi
What is Part-of-Speech Tagging?
Sashin-magana (POS) yana yiwa kowace kalma alama a cikin jimla tare da matsayinta na nahawu, kamar suna, fi'ili, ko siffa. Mataki ne na NLP na tushe wanda ke taimaka wa injina su fahimci tsarin jumla da warware kalmomin da ke nufin abubuwa daban-daban a cikin mahallin daban-daban.
Menene alamar sashe na magana ke baiwa kowace kalma?
POS tana yiwa kowace kalma lakabi da nau'in nahawunta, kamar suna, fi'ili, ko sifa.
Me yasa mahallin ke da mahimmanci don alamar POS?
Kalmomi kamar 'littafi' na iya zama suna ko fi'ili, don haka ana buƙatar kalmomin da ke kewaye don zaɓar alamar daidai.
Menene alamar alamar Penn Treebank?
The Penn Treebank tagset shine madaidaicin tarin alamomin masu kyau guda 36 da ake amfani da su don sanya alamar POS na Ingilishi.
Ta yaya masu tambarin Model Hidden Markov suka zaɓi tags?
HMM taggers suna zaɓar mafi yuwuwar jeri bisa la'akari da yuwuwar kowace tag aka ba kalmar da kuma ba da alamar da ta gabata.
Me yasa masu tagja na zamani zasu karanta jimla gabaɗaya maimakon kowace kalma ita kaɗai?
Tun da kalma ɗaya na iya ɗaukar alamomi daban-daban, ana buƙatar bayanin mahallin daga duka jimla don lakafta ta daidai.