Events Calendar

NL Seminar-Recent Advances in Neural Machine Translation

Speaker: Thang Luong, Stanford University

Talk Title: Recent Advances in Neural Machine Translation

Series: Natural Language Seminar

Abstract: Neural Machine Translation (NMT) is a simple new architecture for getting machines to learn to translate. At its core, NMT is a single big recurrent neural network that is trained end-to-end with several advantages such as simplicity and generalization. Despite being relatively new, NMT has already been showing promising results in various translation tasks. In this talk, I will give an overview of NMT and highlight my recent work on (a) how to address the rare word problem in NMT, (b) how to improve the attention (alignment) mechanism, and (c) how to leverage data from other modalities to improve translation.



Biography: Thang Luong is currently a 5th-year PhD student in the Stanford NLP group under Prof. Chris Manning. In the past, he has published papers on various different NLP-related areas such as digital library, machine translation, speech recognition, parsing, psycholinguistics, and word embedding learning. Recently, his main interest shifts towards the area of deep learning using sequence to sequence models to tackle various NLP problems, especially neural machine translation. He has built state-of-the-art (academically) neural machine translation systems both at Google and at Stanford.

Host: Xing Shi and Kevin Knight

More Info: http://nlg.isi.edu/nl-seminar/

Location: Information Science Institute (ISI) - 6th Flr Conf Rm # 689, Marina Del Rey

Audiences: Everyone Is Invited

Contact: Peter Zamar

Event Link: http://nlg.isi.edu/nl-seminar/