ACL

Year	Author	Paper Title
2001	Eugene Charniak	Immediate-head parsing for language modeling
2001	Ulrich Germann et. al.	Fast Decoding and Optimal Decoding for Machine Translation
2002	Franz Och and Hermann Ney	Discriminative Traing and Maximum Entropy Models for Statistical Machine Translation
2003	Dan Klein and Chris Manning	Accurate Unlexicalized Parsing
2003	Yukiko Nakano, Gabe Reinstein, Tom Stocky, and Justine Cassell	Towards a Model of Face-to-Face Grounding
2004	Diana McCarthy, Rob Koeling, Julie Weeds, and John Carroll	Finding Predominant Word Senses in Untagged Text
2005	David Chiang	A hierarchical phrase-based model for statistical machine translation
2006	Rion Snow, Dan Jurafsky, and Andrew Y. Ng	Semantic taxonomy induction from heterogenous evidence
2007	Y. W. Wong and R. J. Mooney	Learning synchronous grammars for semantic parsing with lambda calculus
2008	Liang Huang	Forest Reranking: Discriminative Parsing with Non-Local Features
2009	Andre Martins, Noah Smith and Eric Xing	Concise Integer Linear Programming Formulations for Dependency Parsing
2009	S.R.K. Branavan, Harr Chen, Luke Zettlemoyer and Regina Barzilay	Reinforcement Learning for Mapping Instructions to Actions
2009	Adam Pauls and Dan Klein	K-Best A* Parsing

NAACL

Year	Author	Paper Title
2003	missing
2004	Regina Barzilay, MIT, and Lillian Lee, Cornell	Catching the Drift: Probabilistic Content Models, with Applications to Generation and Summarization
2006	Mehryar Mohri and Brian Roark	Probabilistic Context-Free Grammar Induction Based on Structural Zeros
2006	Aria Haghighi and Dan Klein	Prototype-Driven Learning for Sequence Models
2007	Antti-Veikko Rosti, Bing Xiang, Spyros Matsoukas, Richard Schwartz, Necip Fazil Ayan and Bonnie Dorr	Combining Outputs from Multiple Machine Translation Systems
2008	missing
2009	Hoifung Poon, Colin Cherry and Kristina Toutanova	Unsupervised Morphological Segmentation with Log-Linear Models
2009	David Chiang, Kevin Knight and Wei Wang	11,001 New Features for Statistical Machine Translation

Year	Author	Paper Title
2002	Michael Collins	Discriminative Training Methods for Hidden Markov Models: Theory and Experiments with Perceptron Algorithms
2003	Peng Xu, Ahmad Emami and Frederick Jelinek	Training Connectionist Models for the Structured Language Model
2004	missing
2005 (best student paper)	Ryan McDonald, Fernando Pereira, Kiril Ribarov and Jan Hajic	Non-Projective Dependency Parsing using Spanning Tree Algorithms
2006	no award given
2007	James Clarke and Maria Lapata	Modelling Compression with Discourse Constraints
2008	missing
2009	missing