Christopher Manning
Thomas M. Siebel Professor in Machine Learning, Professor of Linguistics and Computer Science at Stanford University; pioneering NLP and Deep Learning researcher
Ositirali 
Ameriki Ameriki Themes
Christopher David Manning (sɔrɔli 1965) ye Australia-Amerikiya ordinateuri dɔnnikɛla ni kanw dɔnnikɛla ye, min bɛ baara kɛ i n’a fɔ Thomas M. Siebel Professor in Machine Learning ani Professor of Linguistics and Computer Science ye Stanford University la, min na a fana bɛ baara kɛ i n’a fɔ Associate Director of the Stanford Institute for Human-Centered Artificial Intelligence (HAI) ye, ani a tun ye Stanford Artificial Intelligence Laboratory (SAIL) ɲɛnabɔbaga ye 2018 ka taa 2025 ma.
A ka ɲininiw bɛ sigi kan dabiɲɛnabɔ, deep learning, ani ordinateuri ka kanw dɔnni kan, ani a ka baarakɛlaw minnu ka bonya kosɛbɛ, olu bɛ se ka kɛ GloVe daɲɛ sigida model, Stanford CoreNLP, Stanza NLP library, ani Universal Dependencies framework ye.
A ye kalanbuku fila sɛbɛn ka kɛɲɔgɔn ye, minnu bɛ baara la kosɛbɛ: Foundations of Statistical Natural Language Processing (1999) ani Introduction to Information Retrieval (2008), ani a bɛ CS224N kalanw lajɛ NLP kan ni deep learning ye.
Manning ye National Academy of Engineering ani American Academy of Arts and Sciences ka mɔgɔ sugandilen ye, a ye ACM, AAAI, ani ACL Fellow ye, ani a ye 2024 IEEE John von Neumann Medal sɔrɔla ye.
Jamakalanso ni Kuraw ka Baaraw
Manning ye Thomas M. Siebel Professor in Machine Learning sigida fɔlɔ min bɛ Stanford la, o min bɛ taa Linguistics ni Computer Science departemanu fila bɛɛ la — sigida min bɛ a jira ko a ka baara kɛlen-kɛlen ye kan minɛni ye dɔnniya fɛn ni injenɛriya fɛn ye. A ka kalan karamɔgɔ sigidaw kɔfɛ, a ye Stanford HAI ka Daminɛbaa ni Senior Fellow ye, kuraw dɔ min bɛ ɲini artificial intelligence ka kɛlɛnkɛlɛnniw ka ɲɔgɔnw la jamana la, ani a ye General Partner ye AIX Ventures la. A ye Association for Computational Linguistics ka Prezidan ye san 2015 la, ani a ye Stanford NLP Group da, min ye ɲininkaliw ka siran caman kalan, olu min bɛ baara kɛ sisan jamakalanso ni industriya kɔnɔ yɔrɔ caman na.
ɲininkali Sira ni Baarakɛ Cɛkɔrɔw
Manning ka ɲininkali baara bɛ taa sigi fila kan minnu bɛ ɲɔgɔn na. A ka baara fɔlɔw la, a ye a jɔya da probabilistic ni statistical dabariw ka sigi jɔlenw kan i n’a fɔ computational linguistics la — ka dabariw labɛn natural language inference, syntactic parsing, ani kanw caman ka baarakɛ ye. O kɔnɔ, a ye Stanford Dependencies ni Universal Dependencies framework ka labɛnbaga kɔrɔba dɔ ye, min ye sira dɔ sigi min bɛ ɲɔgɔn na kanw bɛɛ la gramɛri jɔyɔrɔw taamasiyɛn na, ani NLP jama la a bɛ baara la hali kosɛbɛ.
Ka bɔ 2010 ɲɛfɛ, Manning ye a ka hakilijigin ɲɛsin deep learning ma min bɛ baara kɛ kan faamuyali la. A ka grupu ka baara ye fɛn caman ta: sentiment analysis ni tree-recursive neural networks, GloVe daɲɛgafe mɔdɛli, attention mekanizimuw, neural machine translation, masalajabi, ani self-supervised pre-training. O baaraw ka jateya bɛ jira ɲininkali jama ka dɔnyali la — a ka grupu ye Best Paper Awards sɔrɔ ACL, Coling, EMNLP, ani CHI la, ani ACL Test of Time Awards saba sɔrɔ ka tugu ɲɔgɔn na, o kɔnɔ kelen ye san 2025 la attention-based neural machine translation ka sɛbɛn ye min a ni Thang Luong ani Hieu Pham sɛbɛn ɲɔgɔn na.
A ka grupu ka baara kurunw ye large language models ka baarakɛ fɛɛrɛw ni a ka jamana-kɛlɛnkɛlɛnniw fan ɲini, o kɔnɔ ɲininkali min bɛ LLM-generated text dɔn DetectGPT fɛɛrɛ la ani ɲininkali dɔ min bɛ hallucination la LLMw ka baarakɛ hukumukun na, min bɔra Journal of Empirical Legal Studies la.
Software ni Kalan ka Nafa
Manning tɛ se ka NLP baarakɛfɛnw bila kɛwalaw ni ɲininkaliw bolo, minnu bɛ kɛnɛ yɔrɔw kɔfɛ, a ma nafa bila yen. Stanford CoreNLP, open-source NLP toolkit fɔlɔ dɔ min dafalen ani ka dafa kosɛbɛ, ani Stanza library min nana kɔfɛ, olu fila bɛɛ taara ka kɛ nafaba ye yɔrɔ caman na. A ka sɛbɛnnikɛliw kanfɛnw la ergativity ani complex predicates ko la bɛ a jira ko a ka dɔnniya baaraw ka jateya ka bon ka tɛmɛn software ni sistɛm baaraw kan, minnu de bɛ sɔrɔ ka ɲɔgɔn na computer science ɲininkaliw fɛ.
Kalan fan na, a ka CS224N kurusi min bɛ NLP kalan deep learning ye, min bɛ kɛ Stanford fɛ ani min bɛ sɔrɔ online, ye mɔgɔ kɛmɛw ni wuliw jɛlen-jɛlen sɔrɔ ka a lajɛ diɲɛ bɛɛ la. A ni mɔgɔw minnu sɛbɛn ɲɔgɔn na ka kalanbɔlɔw — kelen bɛ statistical NLP ko la ni Hinrich Schütze, tɔ min bɛ information retrieval ko la ni Schütze ani Prabhakar Raghavan — bɛ to ka kɛ jateminɛnw ye o fɛɛrɛ la. A fana ye AI ɲininkali ka tariku sɛbɛnna Stanford la dɛmɛ kosɛbɛ, ka kɛ baarakɛbagaba ye documentary surun dɔ labɛnnali la, AI at Stanford: 1962–2022, min ye Northern California Emmy Award sɔrɔ san 2023 la.
Dɔnyali ni Jɛgɛnw Wɛrɛw
A ka professional society fellowships ni IEEE John von Neumann Medal kɔfɛ, Manning ye honorary doctorate sɔrɔ University of Amsterdam fɛ san 2023 la. A ka sugandili National Academy of Engineering ani American Academy of Arts and Sciences la, olu fila bɛɛ san 2025 la, ye a ka natural language processing fɛɛrɛw dabari ni olu yɔrɔyɔrɔ lajalaki dɔrɔn de dɔnya. A fana ye Faculty Affiliate ye Stanford ka RegLab la, min bɛ regulation, evaluation, ani governance la — jɛgɛn min bɛ a ka teknik baara fara ni sariya ani politiki masalaw kan minnu ka kan AI baarakɛ la.