NLP & Speech
“Discriminative Training Methods for Hidden Markov Models: Theory and Experiments with Perceptron Algorithms” laid the foundation for how to use machine learning methods across a range of NLP tasks.
The grant will fund fifteen researchers from five universities to design and build an end-to-end human language technology capable of using an English query to quickly search, retrieve, and summarize documents in any of the world’s 6000+ languages.
Julia Hirschberg elected to the American Academy of Arts and Sciences
About
Natural Language Processing and Spoken Language Processing involves computational approaches to the analysis and generation of text and speech. At Columbia these include text and speech summarization, question answering, machine translation, syntax and parsing, language generation, spoken dialogue systems, semantic representation and analysis, and the study of emotional and deceptive speech, in English, Arabic, and Mandarin, inter alia.
Spoken Language Processing Group 
Natural Language Processing Group 
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