Christopher Manning
Thomas M. Siebel Professor in Machine Learning, Professor of Linguistics and Computer Science at Stanford University; pioneering NLP and Deep Learning researcher
Ositáli 
Ameriki Ameriki Themes
Christopher David Manning (abotami na 1965) ezali mokambi ya siansi ya ordinatɛrɛ mpe monɔkɔngɔngɔ ya Australia–Amerika, mpe azali Profɛseur Thomas M. Siebel na Makambo ya Kotambwisa Makambo na Mosala ya Masini (Machine Learning) mpe Profɛseur ya Lingwistikɛ mpe ya Siansi ya Ordinatɛrɛ na Université ya Stanford, epai wapi mpe azali Mokambi Mokonzi (Associate Director) ya Stanford Institute for Human-Centered Artificial Intelligence (HAI), mpe liboso azalaki kolongola direksion ya Stanford Artificial Intelligence Laboratory (SAIL) na mobu 2018 kino 2025.
Etando ya bolukiluki na ye ezali kotala ndenge ya kosala mosala na ndakisa ya lokuta ya monɔkɔ (natural language processing), mayele ya mozindo (deep learning), mpe lingwistikɛ ya kosala na ordinatɛrɛ (computational linguistics), mpe atiki makambo ya ntina mingi, lokola modèle ya kotia maloba na bisika (GloVe word embedding), Stanford CoreNLP, libɛlɛ ya Stanza NLP, mpe framework ya Universal Dependencies.
Azali mokomi-mokambi elongo na ba buku mibale oyo basalelaka mingi, te: Foundations of Statistical Natural Language Processing (1999) mpe Introduction to Information Retrieval (2008), mpe azali koteya cours ya CS224N oyo ezali na bopusi mingi na NLP na mayele ya mozindo.
Manning azali membre oyo bapili ye na National Academy of Engineering mpe na American Academy of Arts and Sciences, Fellow ya ACM, AAAI, mpe ACL, mpe azwi Médaille John von Neumann ya IEEE ya 2024.
Role ya Akademi mpe ya Mabongisi
Manning azali Professeur ya liboso Thomas M. Siebel na esika ya Machine Learning na Stanford, position oyo ebandaka na ba départema ya Linguistics mpe ya Computer Science — arrangement oyo emonisa boyangeli na ye ntango nyonso mpo na kotánga lokola ete lokota ezali lisusu eloko ya siansi mpe ya ingénierie. Longola na ba rendez-vous na ye lokola professeur, azali Founder mpe Senior Fellow ya Stanford HAI, institut oyo etali makambo ya bopusi ya nzela ya lisanga ya intelligence artificielle, mpe azali General Partner na AIX Ventures. Atyamaki lokola Président ya Association for Computational Linguistics na 2015 mpe abongisaki Stanford NLP Group, oyo esilisaki ba générations ya balukiluki sik’oyo bazali kosala na kati ya akademi mpe na industrie.
Nzela ya Bokóli ya Liponami mpe Ba Contribution ya Motuya
Career ya liponami ya Manning ekabolami na mikili mibale oyo ezali ndenge moko te kasi ekangami. Na mosala na ye ya liboso, azalaki kosala makasi mpo na kotonga fondation ya makambo ya probabilités mpe ya statistique mpo na linguistics ya calcul — kobimisa ba cadres mpo na inference ya lokota ya ndenge na ndenge, syntactic parsing, mpe traitement ya minoko mingi. Yango esalemaki mpe na rôle na ye lokola principal architect ya Stanford Dependencies mpe ya framework Universal Dependencies, oyo esalaki approche moko oyo ezali koswana na minoko ndenge na ndenge mpo na kotánga ndenge ya gramɛr na ndenge ya kotánga, mpe oyo sik’oyo ezwami mingi na kati ya communauté ya NLP.
Katikati ya ntango ya pene na 2010, Manning atikaki kotala mingi makambo ya deep learning oyo esalelamaka mpo na kososola lokota. Mosala ya groupe na ye touchaki mikakatá ndenge na ndenge: analyse ya sentiment na nzela ya ba neural networks récursives na arbre, modèle ya ba vecteurs ya GloVe, ba mécanismes ya attention, traduction automatique ya neural, réponse na mituna, mpe pré-entraînement oyo ezali kosalema na ndenge ya self-supervised. Bokeseni ya ba contribution wana emonisami na mikakatano ya koyeba na kati ya communauté ya liponami — groupe na ye ezwaki Best Paper Awards na ACL, Coling, EMNLP, mpe CHI, mpe Awards ya ACL Test of Time oyo ekómaki mbala misato na ndenge ya kolanda, bakisa moko na 2025 mpo na papier ya traduction automatique ya neural oyo etalelaka attention, oyo ye asangisaki na Thang Luong mpe Hieu Pham.
Mosala ya sika koleka oyo groupe na ye esali, ekɔtaki na makambo ya mosala mpe ya bopusi ya lisanga ya ba large language models, bakisa na liponami ya koyeba makomi oyo LLM esali na nzela ya méthode DetectGPT mpe liponami moko mpo na hallucination na ba application ya mibeko oyo esalelaka LLM, oyo ebimisami na Journal of Empirical Legal Studies.
Impact ya Logiciel mpe ya Koteya
Manning atikaki ntango nyonso libaku ya kopesa ba outils ya NLP epai ya ba praticiens mpe balukiluki libanda ya ba institutions ya lokumu mingi. Stanford CoreNLP, toolkit ya NLP ya liboso mpe ya mobimba oyo ezali open-source, mpe liboso ya sima bibliothèque Stanza, nyonso mibale ezwaki adoption mingi. Ba monographies na ye ya linguistique na ergativity mpe ba prédicats complexes emonisi lisusu bonkóli ya mosala ya siansi oyo ezali koleka mosala ya logiciel mpe ya ba systèmes oyo souvant ezwamaka mingi na ba chercheurs ya computer science.
Na upande ya koteya, cours na ye ya CS224N na NLP na deep learning, oyo epesami na Stanford mpe oyo ezali mpe disponible na internet, ekómi na bato ya kotala ebele mingi na mokili mobimba. Ba manuels oyo ye asangaki na bango — moko na statistical NLP elongo na Hinrich Schütze, mpe mosusu na information retrieval elongo na Schütze mpe Prabhakar Raghavan — ezali naino ba références ya ndakisa na secteur. Azali mpe kosala mingi mpo na kotia polele na dosié ya kala ya liponami ya AI na Stanford, mpe azalaki na rôle ya ntina mingi na kobongisa documentaire ya mokuse AI at Stanford: 1962–2022, oyo ezwaki Northern California Emmy Award na 2023.
Koyebama mpe Ba Affiliation ya Motuya Koleka
Longola na ba fellowships ya société professionnelle mpe na IEEE John von Neumann Medal, Manning azwaki doctorate ya lokumu na Université ya Amsterdam na 2023. Eleksion na ye na National Academy of Engineering mpe na American Academy of Arts and Sciences, nyonso mibale na 2025, ezalaki koyeba mpenza ndenge oyo asalaki mpe ndenge oyo apesaki libimisi ba méthodes ya natural language processing. Azali mpe Faculty Affiliate na RegLab ya Stanford, oyo etali réglementation, évaluation, mpe gouvernance — affiliation oyo ekangisaka mosala na ye ya tekiniki na mituna ya mibeko mpe ya politiki oyo ezali relevant mpo na kosalela AI.