Neural Probabilistic Language Model for System Combination

Keywords

Computer science, Task (project management), Artificial neural network, Artificial intelligence, Confusion

References

• Sentence-Level Quality Estimation for MT System CombinationTsuyoshi Okita, Raphaël Rubino, Josef van Genabith — 2012
• Given Bilingual Terminology in Statistical Machine Translation: MWE-Sensitve Word Alignment and Hierarchical Pitman-Yor Process-Based Translation Model SmoothingTsuyoshi Okita, Andy Way — 2011
• Gap Between Theory and Practice: Noise Sensitive Word Alignment in Machine TranslationTsuyoshi Okita, Yvette Graham, Andy Way — 2010
• Topic Modeling-based Domain Adaptation for System CombinationTsuyoshi Okita, Antonio Toral, Josef van Genabith — 2012
• Using TERp to Augment the System Combination for SMTJinhua Du, Andy Way — 2010
• Towards Open-Text Semantic Parsing via Multi-Task Learning of Structured EmbeddingsAntoine Bordes, Xavier Glorot, Jason Weston — 2011
• An Incremental Three-pass System Combination Framework by Combining Multiple Hypothesis Alignment MethodsJinhua Du, Andy Way — 2010
• Deep Learning for Efficient Discriminative ParsingRonan Collobert — 2011
• Probabilistic Graphical Models: Principles and Techniques - Adaptive Computation and Machine LearningDaphne Koller, Nir Friedman — 2009
• Multi-Word Expression-Sensitive Word AlignmentTsuyoshi Okita, Alfredo Maldonado, Yvette Graham — 2010
• Computing Consensus Translation for Multiple Machine Translation Systems Using Enhanced Hypothesis AlignmentEvgeny Matusov, Nicola Ueffing, Hermann Ney — 2006
• Exploding The Creativity Myth: The Computational Foundations of Linguistic CreativityTony Veale — 2012
• Annotated Corpora for Word Alignment between Japanese and English and its Evaluation with MAP-based Word AlignerTsuyoshi Okita — 2012
• Computing consensus translation from multiple machine translation systemsB. Bangalore, Germán Bordel, Giuseppe Riccardi — 2001
• Approximate inference in graphical models using lp relaxationsTommi Jaakkola, David Sontag — 2010
• SRILM - an extensible language modeling toolkitAndreas Stolcke — 2002
• Lexical-Functional SyntaxJoan Bresnan, Ash Asudeh, Ida Toivonen — 2000
• Improved backing-off for M-gram language modelingReinhard Kneser, Hermann Ney — 1995
• Continuous space language modelsHolger Schwenk — 2007
• The latent words language modelKoen Deschacht, Jan De Belder, Marie‐Francine Moens — 2012

Cited by

• Shallow Semantically-Informed PBSMT and HPBSMTTsuyoshi Okita, Qun Liu, Josef van Genabith — 2013
• Local Graph Matching with Active Learning for Recognizing Inference in Text at NTCIR-10Tsuyoshi Okita — 2013
• RECURRENT NEURAL NETWORK LANGUAGE MODEL WITH VECTOR-SPACE WORD REPRESENTATIONSYujing Si, Yeming Xiao, Xu Ji — 2014
• Attention Based BiGRU-2DCNN with Hunger Game Search Technique for Low-Resource Document-Level Sentiment ClassificationVictor Kwaku Agbesi, Wenyu Chen, Sintayehu Mandefro Gizaw — 2023
• Joint Image-Text Clustering using Deep Neural NetworksMahyar Khayatkhoei, Aditya Chukka, Chaitanya Mitash — 2017

Related papers

• Topic Modeling-based Domain Adaptation for System CombinationTsuyoshi Okita, Antonio Toral, Josef van Genabith — 2012
• A Survey of System Combination for Machine TranslationChengqing Zong — 2010
• Improved Word-Level System Combination for Machine TranslationAntti-Veikko Rosti, Spyros Matsoukas, Richard Schwartz — 2007
• Decoding with Large-Scale Neural Language Models Improves TranslationAshish Vaswani, Yinggong Zhao, Victoria Fossum — 2013
• Continuous Space Language Models for Statistical Machine TranslationHolger Schwenk, Daniel Dchelotte, Jean‐Luc Gauvain — 2006
• Statistical-based system combination approach to gain advantages over different machine translation systemsDebajyoty Banik, Asif Ekbal, Pushpak Bhattacharyya — 2019
• Assembling translations from multi-engine machine translation outputsDebajyoty Banik, Asif Ekbal, Pushpak Bhattacharyya — 2019
• MSD Recombination Method in Statistical Machine TranslationJerneja Žganec Gros, Theodore E. Simos, George Psihoyios — 2008