Papers
langid.py: An Off-the-shelf Language Identification Tool
Marco Lui, Timothy Baldwin
Language Modeling for Spoken Dialogue System based on Filtering using Predicate-Argument Structures
Koichiro Yoshino, Shinsuke Mori, Tatsuya Kawahara
Language Model Rest Costs and Space-Efficient Storage
Kenneth Heafield, Philipp Koehn, Alon Lavie
Language Model Rest Costs and Space-Efficient Storage
Kenneth Heafield, Philipp Koehn, Alon Lavie
Language Resources Factory: case study on the acquisition of Translation Memories
Marc Poch, Antonio Toral, Núria Bel
Large-Margin Learning of Submodular Summarization Models
Ruben Sipos, Pannaga Shivaswamy, Thorsten Joachims
Large, Pruned or Continuous Space Language Models on a GPU for Statistical Machine Translation
Holger Schwenk, Anthony Rousseau, Mohammed Attik
Large Scale Decipherment for Out-of-Domain Machine Translation
Qing Dou, Kevin Knight
Large Scale Decipherment for Out-of-Domain Machine Translation
Qing Dou, Kevin Knight
Large-scale discriminative language model reranking for voice-search
Preethi Jyothi, Leif Johnson, Ciprian Chelba et al.
Large Scale Distributed Deep Networks
Jeffrey Dean, Greg Corrado, Rajat Monga et al.
Large-scale Linear Support Vector Regression
Chia-Hua Ho, Chih-Jen Lin
Large-Scale Syntactic Language Modeling with Treelets
Adam Pauls, Dan Klein
Latent Coincidence Analysis: A Hidden Variable Model for Distance Metric Learning
Matthew Der, Lawrence K. Saul
Latent Community Discovery with Network Regularization for Core Actors Clustering
Guangxu Xun, Yujiu Yang, Liangwei Wang et al.
Latent Graphical Model Selection: Efficient Methods for Locally Tree-like Graphs
Anima Anandkumar, Ragupathyraj Valluvan
Latent Structure Perceptron with Feature Induction for Unrestricted Coreference Resolution
Eraldo Fernandes, Cícero dos Santos, Ruy Milidiú
Lattice Rescoring for Speech Recognition using Large Scale Distributed Language Models
Euisok Chung, Hyung-Bae Jeon, Jeon-Gue Park et al.
Learnability-Based Syntactic Annotation Design
Roy Schwartz, Omri Abend, Ari Rappoport
Learned Prioritization for Trading Off Accuracy and Speed
Jiarong Jiang, Adam Teichert, Jason Eisner et al.
Learning about Canonical Views from Internet Image Collections
Elad Mezuman, Yair Weiss
Learning Algorithms for the Classification Restricted Boltzmann Machine
Hugo Larochelle, Michael Mandel, Razvan Pascanu et al.
Learning and Model-Checking Networks of I/O Automata
Hua Mao, Manfred Jaeger
Learning as MAP Inference in Discrete Graphical Models
Xianghang Liu, James Petterson, Tibério S. Caetano
Learning-based Multi-Sieve Co-reference Resolution with Knowledge
Lev Ratinov, Dan Roth