Chris Dyer

According to our database1, Chris Dyer authored at least 210 papers between 1999 and 2023.

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Bibliography

2023
Machine Learning for Ancient Languages: A Survey.
Comput. Linguistics, September, 2023

2022
Transformer Grammars: Augmenting Transformer Language Models with Syntactic Inductive Biases at Scale.
Trans. Assoc. Comput. Linguistics, 2022

Continuous diffusion for categorical data.
CoRR, 2022

MAD for Robust Reinforcement Learning in Machine Translation.
CoRR, 2022

Enabling Arbitrary Translation Objectives with Adaptive Tree Search.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Exposing the Implicit Energy Networks behind Masked Language Models via Metropolis--Hastings.
Proceedings of the Tenth International Conference on Learning Representations, 2022

2021
Scaling Language Models: Methods, Analysis & Insights from Training Gopher.
CoRR, 2021

End-to-End Training of Multi-Document Reader and Retriever for Open-Domain Question Answering.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Game-theoretic Vocabulary Selection via the Shapley Value and Banzhaf Index.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Better Chinese Sentence Segmentation with Reinforcement Learning.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

Diverse Pretrained Context Encodings Improve Document Translation.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020
Better Document-Level Machine Translation with Bayes' Rule.
Trans. Assoc. Comput. Linguistics, 2020

Syntactic Structure Distillation Pretraining for Bidirectional Encoders.
Trans. Assoc. Comput. Linguistics, 2020

The DeepMind Chinese-English Document Translation System at WMT2020.
Proceedings of the Fifth Conference on Machine Translation, 2020

Learning Robust and Multilingual Speech Representations.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

One System, Many Domains: Open-Domain Statistical Machine Translation via Feature Augmentation.
Proceedings of the 10th Conference of the Association for Machine Translation in the Americas: Research Papers, 2020

A Probabilistic Generative Model for Typographical Analysis of Early Modern Printing.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Learning to Segment Actions from Observation and Narration.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019
Putting Machine Translation in Context with the Noisy Channel Model.
CoRR, 2019

A Critical Analysis of Biased Parsers in Unsupervised Parsing.
CoRR, 2019

Shallow Syntax in Deep Water.
CoRR, 2019

Learning and Evaluating General Linguistic Intelligence.
CoRR, 2019

Unsupervised Recurrent Neural Network Grammars.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

An Empirical Investigation of Global and Local Normalization for Recurrent Neural Sequence Models Using a Continuous Relaxation to Beam Search.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Achieving Verified Robustness to Symbol Substitutions via Interval Bound Propagation.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Text Genre and Training Data Size in Human-like Parsing.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Comparing Top-Down and Bottom-Up Neural Generative Dependency Models.
Proceedings of the 23rd Conference on Computational Natural Language Learning, 2019

Scalable Syntax-Aware Language Models Using Knowledge Distillation.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Compound Probabilistic Context-Free Grammars for Grammar Induction.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Learning to Discover, Ground and Use Words with Segmental Neural Language Models.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018
The NarrativeQA Reading Comprehension Challenge.
Trans. Assoc. Comput. Linguistics, 2018

Sentence Encoding with Tree-constrained Relation Networks.
CoRR, 2018

Unsupervised Word Discovery with Segmental Neural Language Models.
CoRR, 2018

Relational inductive biases, deep learning, and graph networks.
CoRR, 2018

Pushing the bounds of dropout.
CoRR, 2018

Learning Deep Generative Models of Graphs.
CoRR, 2018

Paraphrase-Supervised Models of Compositionality.
CoRR, 2018

Unsupervised Text Style Transfer using Language Models as Discriminators.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Neural Arithmetic Logic Units.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Using Morphological Knowledge in Open-Vocabulary Neural Language Models.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Fast Parametric Learning with Activation Memorization.
Proceedings of the 35th International Conference on Machine Learning, 2018

Memory Architectures in Recurrent Neural Network Language Models.
Proceedings of the 6th International Conference on Learning Representations, 2018

On the State of the Art of Evaluation in Neural Language Models.
Proceedings of the 6th International Conference on Learning Representations, 2018

Syntactic Scaffolds for Semantic Structures.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Finding syntax in human encephalography with beam search.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

LSTMs Can Learn Syntax-Sensitive Dependencies Well, But Modeling Structure Makes Them Better.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

A Continuous Relaxation of Beam Search for End-to-End Training of Neural Sequence Models.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
End-to-End Neural Segmental Models for Speech Recognition.
IEEE J. Sel. Top. Signal Process., 2017

From Characters to Understanding Natural Language (C2NLU): Robust End-to-End Deep Learning for NLP (Dagstuhl Seminar 17042).
Dagstuhl Reports, 2017

Generative and Discriminative Text Classification with Recurrent Neural Networks.
CoRR, 2017

Frame-Semantic Parsing with Softmax-Margin Segmental RNNs and a Syntactic Scaffold.
CoRR, 2017

DyNet: The Dynamic Neural Network Toolkit.
CoRR, 2017

Multi-task Learning with CTC and Segmental CRF for Speech Recognition.
CoRR, 2017

Greedy Transition-Based Dependency Parsing with Stack LSTMs.
Comput. Linguistics, 2017

On-the-fly Operation Batching in Dynamic Computation Graphs.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Multitask Learning with CTC and Segmental CRF for Speech Recognition.
Proceedings of the 18th Annual Conference of the International Speech Communication Association, 2017

The Neural Noisy Channel.
Proceedings of the 5th International Conference on Learning Representations, 2017

Learning to Compose Words into Sentences with Reinforcement Learning.
Proceedings of the 5th International Conference on Learning Representations, 2017

Reference-Aware Language Models.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

What Do Recurrent Neural Network Grammars Learn About Syntax?
Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, 2017

Neural Machine Translation with Recurrent Attention Modeling.
Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, 2017

Should Neural Network Architecture Reflect Linguistic Structure?
Proceedings of the 21st Conference on Computational Natural Language Learning (CoNLL 2017), 2017

Program Induction by Rationale Generation: Learning to Solve and Explain Algebraic Word Problems.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

Learning to Create and Reuse Words in Open-Vocabulary Neural Language Modeling.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

Differentiable Scheduled Sampling for Credit Assignment.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

Ontology-Aware Token Embeddings for Prepositional Phrase Attachment.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2016
Many Languages, One Parser.
Trans. Assoc. Comput. Linguistics, 2016

Cross-Lingual Bridges with Models of Lexical Borrowing.
J. Artif. Intell. Res., 2016

Learning the Curriculum with Bayesian Optimization for Task-Specific Word Representation Learning.
CoRR, 2016

Semantic Scan: Detecting Subtle, Spatially Localized Events in Text Streams.
CoRR, 2016

Segmental Recurrent Neural Networks.
Proceedings of the 4th International Conference on Learning Representations, 2016

Character Sequence Models for ColorfulWords.
CoRR, 2016

Massively Multilingual Word Embeddings.
CoRR, 2016

One Parser, Many Languages.
CoRR, 2016

Mining Parallel Corpora from Sina Weibo and Twitter.
Comput. Linguistics, 2016

Attention-based Multimodal Neural Machine Translation.
Proceedings of the First Conference on Machine Translation, 2016

CMU at SemEval-2016 Task 8: Graph-based AMR Parsing with Infinite Ramp Loss.
Proceedings of the 10th International Workshop on Semantic Evaluation, 2016

Correlation-based Intrinsic Evaluation of Word Vector Representations.
Proceedings of the 1st Workshop on Evaluating Vector-Space Representations for NLP, 2016

Problems With Evaluation of Word Embeddings Using Word Similarity Tasks.
Proceedings of the 1st Workshop on Evaluating Vector-Space Representations for NLP, 2016

Hierarchical Attention Networks for Document Classification.
Proceedings of the NAACL HLT 2016, 2016

Polyglot Neural Language Models: A Case Study in Cross-Lingual Phonetic Representation Learning.
Proceedings of the NAACL HLT 2016, 2016

Neural Architectures for Named Entity Recognition.
Proceedings of the NAACL HLT 2016, 2016

Generation from Abstract Meaning Representation using Tree Transducers.
Proceedings of the NAACL HLT 2016, 2016

Morphological Inflection Generation Using Character Sequence to Sequence Learning.
Proceedings of the NAACL HLT 2016, 2016

Recurrent Neural Network Grammars.
Proceedings of the NAACL HLT 2016, 2016

Incorporating Structural Alignment Biases into an Attentional Neural Translation Model.
Proceedings of the NAACL HLT 2016, 2016

Bridge-Language Capitalization Inference in Western Iranian: Sorani, Kurmanji, Zazaki, and Tajik.
Proceedings of the Tenth International Conference on Language Resources and Evaluation LREC 2016, 2016

Segmental Recurrent Neural Networks for End-to-End Speech Recognition.
Proceedings of the 17th Annual Conference of the International Speech Communication Association, 2016

Generalizing and Hybridizing Count-based and Neural Language Models.
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

Distilling an Ensemble of Greedy Dependency Parsers into One MST Parser.
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

Semantic Parsing with Semi-Supervised Sequential Autoencoders.
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

Character Sequence Models for Colorful Words.
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

Posterior regularization for Joint Modeling of Multiple Structured Prediction Tasks with Soft Constraints.
Proceedings of the Workshop on Structured Prediction for NLP@EMNLP 2016, 2016

Transition-Based Dependency Parsing with Heuristic Backtracking.
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

Phonologically Aware Neural Model for Named Entity Recognition in Low Resource Transfer Settings.
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

Training with Exploration Improves a Greedy Stack LSTM Parser.
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

Greedy, Joint Syntactic-Semantic Parsing with Stack LSTMs.
Proceedings of the 20th SIGNLL Conference on Computational Natural Language Learning, 2016

The Role of Context in Neural Morphological Disambiguation.
Proceedings of the COLING 2016, 2016

PanPhon: A Resource for Mapping IPA Segments to Articulatory Feature Vectors.
Proceedings of the COLING 2016, 2016

Named Entity Recognition for Linguistic Rapid Response in Low-Resource Languages: Sorani Kurdish and Tajik.
Proceedings of the COLING 2016, 2016

Cross-lingual Models of Word Embeddings: An Empirical Comparison.
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

Learning the Curriculum with Bayesian Optimization for Task-Specific Word Representation Learning.
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

Synthesizing Compound Words for Machine Translation.
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

Modeling Evolving Relationships Between Characters in Literary Novels.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
Depth-Gated LSTM.
CoRR, 2015

Character-based Neural Machine Translation.
CoRR, 2015

Finding Function in Form: Compositional Character Models for Open Vocabulary Word Representation.
CoRR, 2015

Learning to Represent Words in Context with Multilingual Supervision.
CoRR, 2015

Document Context Language Models.
CoRR, 2015

Modeling Dynamic Relationships Between Characters in Literary Novels.
CoRR, 2015

Linguistic Fundamentals for Natural Language Processing: 100 Essentials from Morphology and Syntax Emily M. Bender (University of Washington) Morgan & Claypool (Synthesis Lectures on Human Language Technologies, edited by Graeme Hirst, volume 20), 2013, xvii+166 pp; paperbound, ISBN 978-1-62705-011-1, $40.00; e-book, ISBN 978-1-62705-012-8, $30.00 or by subscription.
Comput. Linguistics, 2015

A bottom up approach to category mapping and meaning change.
Proceedings of the NetWordS Final Conference on Word Knowledge and Word Usage: Representations and Processes in the Mental Lexicon, Pisa, Italy, March 30, 2015

Constraint-Based Models of Lexical Borrowing.
Proceedings of the NAACL HLT 2015, The 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Denver, Colorado, USA, May 31, 2015

Two/Too Simple Adaptations of Word2Vec for Syntax Problems.
Proceedings of the NAACL HLT 2015, The 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Denver, Colorado, USA, May 31, 2015

Unsupervised POS Induction with Word Embeddings.
Proceedings of the NAACL HLT 2015, The 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Denver, Colorado, USA, May 31, 2015

Ontologically Grounded Multi-sense Representation Learning for Semantic Vector Space Models.
Proceedings of the NAACL HLT 2015, The 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Denver, Colorado, USA, May 31, 2015

Retrofitting Word Vectors to Semantic Lexicons.
Proceedings of the NAACL HLT 2015, The 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Denver, Colorado, USA, May 31, 2015

Learning Word Representations with Hierarchical Sparse Coding.
Proceedings of the 32nd International Conference on Machine Learning, 2015

Humor Recognition and Humor Anchor Extraction.
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

Evaluation of Word Vector Representations by Subspace Alignment.
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

Not All Contexts Are Created Equal: Better Word Representations with Variable Attention.
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

Finding Function in Form: Compositional Character Models for Open Vocabulary Word Representation.
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

Improved Transition-based Parsing by Modeling Characters instead of Words with LSTMs.
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

A Supertag-Context Model for Weakly-Supervised CCG Parser Learning.
Proceedings of the 19th Conference on Computational Natural Language Learning, 2015

Lexicon Stratification for Translating Out-of-Vocabulary Words.
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015

Automatic Keyword Extraction on Twitter.
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015

Frame-Semantic Role Labeling with Heterogeneous Annotations.
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015

Sparse Overcomplete Word Vector Representations.
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015

Non-distributional Word Vector Representations.
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015

Transition-Based Dependency Parsing with Stack Long Short-Term Memory.
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015

Unifying Bayesian Inference and Vector Space Models for Improved Decipherment.
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015

Gaussian LDA for Topic Models with Word Embeddings.
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015

Weakly-Supervised Grammar-Informed Bayesian CCG Parser Learning.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
Discriminative Lexical Semantic Segmentation with Gaps: Running the MWE Gamut.
Trans. Assoc. Comput. Linguistics, 2014

Locally Non-Linear Learning for Statistical Machine Translation via Discretization and Structured Regularization.
Trans. Assoc. Comput. Linguistics, 2014

Tree Transduction Tools for cdec.
Prague Bull. Math. Linguistics, 2014

Notes on Noise Contrastive Estimation and Negative Sampling.
CoRR, 2014

The CMU Machine Translation Systems at WMT 2014.
Proceedings of the Ninth Workshop on Statistical Machine Translation, 2014

Crowdsourcing High-Quality Parallel Data Extraction from Twitter.
Proceedings of the Ninth Workshop on Statistical Machine Translation, 2014

CMU: Arc-Factored, Discriminative Semantic Dependency Parsing.
Proceedings of the 8th International Workshop on Semantic Evaluation, 2014

Conditional Random Field Autoencoders for Unsupervised Structured Prediction.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Dual Subtitles as Parallel Corpora.
Proceedings of the Ninth International Conference on Language Resources and Evaluation, 2014

Augmenting English Adjective Senses with Supersenses.
Proceedings of the Ninth International Conference on Language Resources and Evaluation, 2014

A Unified Annotation Scheme for the Semantic/Pragmatic Components of Definiteness.
Proceedings of the Ninth International Conference on Language Resources and Evaluation, 2014

Latent-Variable Synchronous CFGs for Hierarchical Translation.
Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, 2014

Language Modeling with Power Low Rank Ensembles.
Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, 2014

A Dependency Parser for Tweets.
Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, 2014

Augmenting Translation Models with Simulated Acoustic Confusions for Improved Spoken Language Translation.
Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics, 2014

Improving Vector Space Word Representations Using Multilingual Correlation.
Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics, 2014

Real Time Adaptive Machine Translation for Post-Editing with cdec and TransCenter.
Proceedings of the Workshop on Humans and Computer-assisted Translation, 2014

Learning from Post-Editing: Online Model Adaptation for Statistical Machine Translation.
Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics, 2014

Weakly-Supervised Bayesian Learning of a CCG Supertagger.
Proceedings of the Eighteenth Conference on Computational Natural Language Learning, 2014

Automatic Classification of Communicative Functions of Definiteness.
Proceedings of the COLING 2014, 2014

Real time adaptive machine translation: cdec and TransCenter.
Proceedings of the 11th Conference of the Association for Machine Translation in the Americas, 2014

Metaphor Detection with Cross-Lingual Model Transfer.
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014

Simplified Dependency Annotations with GFL-Web.
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014

A Discriminative Graph-Based Parser for the Abstract Meaning Representation.
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014

Community Evaluation and Exchange of Word Vectors at wordvectors.org.
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014

Distributed Representations of Geographically Situated Language.
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014

The CMU Submission for the Shared Task on Language Identification in Code-Switched Data.
Proceedings of the First Workshop on Computational Approaches to Code Switching@EMNLP 2014, 2014

2013
morphogen: Translation into Morphologically Rich Languages with Synthetic Phrases.
Prague Bull. Math. Linguistics, 2013

Minimum Error Rate Training and the Convex Hull Semiring.
CoRR, 2013

Generating English Determiners in Phrase-Based Translation with Synthetic Translation Options.
Proceedings of the Eighth Workshop on Statistical Machine Translation, 2013

The CMU Machine Translation Systems at WMT 2013: Syntax, Synthetic Translation Options, and Pseudo-References.
Proceedings of the Eighth Workshop on Statistical Machine Translation, 2013

Predicting the NFL using Twitter.
Proceedings of the 2nd Workshop on Machine Learning and Data Mining for Sports Analytics co-located with 2013 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2013), 2013

Supersense Tagging for Arabic: the MT-in-the-Middle Attack.
Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, 2013

Improved Part-of-Speech Tagging for Online Conversational Text with Word Clusters.
Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, 2013

Large-Scale Discriminative Training for Statistical Machine Translation Using Held-Out Line Search.
Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, 2013

A Simple, Fast, and Effective Reparameterization of IBM Model 2.
Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, 2013

Knowledge-Rich Morphological Priors for Bayesian Language Models.
Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, 2013

Distributions on Minimalist Grammar Derivations.
Proceedings of the 13th Meeting on the Mathematics of Language, 2013

Paraphrasing 4 Microblog Normalization.
Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, 2013

A Systematic Exploration of Diversity in Machine Translation.
Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, 2013

Translating into Morphologically Rich Languages with Synthetic Phrases.
Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, 2013

Identifying the L1 of non-native writers: the CMU-Haifa system.
Proceedings of the Eighth Workshop on Innovative Use of NLP for Building Educational Applications, 2013

A Framework for (Under)specifying Dependency Syntax without Overloading Annotators.
Proceedings of the 7th Linguistic Annotation Workshop and Interoperability with Discourse, 2013

Microblogs as Parallel Corpora.
Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics, 2013

An Information Theoretic Approach to Bilingual Word Clustering.
Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics, 2013

2012
pycdec: A Python Interface to cdec.
Prague Bull. Math. Linguistics, 2012

Learning Semantics and Selectional Preference of Adjective-Noun Pairs.
Proceedings of the First Joint Conference on Lexical and Computational Semantics, 2012

A Bayesian Model for Learning SCFGs with Discontiguous Rules.
Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, 2012

Bayesian Language Modelling of German Compounds.
Proceedings of the COLING 2012, 2012

Transliteration by Sequence Labeling with Lattice Encodings and Reranking.
Proceedings of the 4th Named Entity Workshop, 2012

Joint Feature Selection in Distributed Stochastic Learning for Large-Scale Discriminative Training in SMT.
Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference, July 8-14, 2012, Jeju Island, Korea, 2012

2011
The CMU-ARK German-English Translation System.
Proceedings of the Sixth Workshop on Statistical Machine Translation, 2011

Predicting a Scientific Community's Response to an Article.
Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing, 2011

Unsupervised Bilingual POS Tagging with Markov Random Fields.
Proceedings of the First workshop on Unsupervised Learning in NLP@EMNLP 2011, 2011

Unsupervised Word Alignment with Arbitrary Features.
Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, 2011

Better Hypothesis Testing for Statistical Machine Translation: Controlling for Optimizer Instability.
Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference, 19-24 June, 2011, Portland, Oregon, USA, 2011

2010
Data-Intensive Text Processing with MapReduce
Synthesis Lectures on Human Language Technologies, Morgan & Claypool Publishers, ISBN: 978-3-031-02136-7, 2010

Monte Carlo techniques for phrase-based translation.
Mach. Transl., 2010

Joshua 2.0: A Toolkit for Parsing-Based Machine Translation with Syntax, Semirings, Discriminative Training and Other Goodies.
Proceedings of the Joint Fifth Workshop on Statistical Machine Translation and MetricsMATR, 2010

The University of Maryland Statistical Machine Translation System for the Fifth Workshop on Machine Translation.
Proceedings of the Joint Fifth Workshop on Statistical Machine Translation and MetricsMATR, 2010

Context-free reordering, finite-state translation.
Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, 2010

Two monolingual parses are better than one (synchronous parse).
Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, 2010

Discriminative Word Alignment with a Function Word Reordering Model.
Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing, 2010

cdec: A Decoder, Alignment, and Learning Framework for Finite-State and Context-Free Translation Models.
Proceedings of the ACL 2010, 2010

2009
Joshua: An Open Source Toolkit for Parsing-Based Machine Translation.
Proceedings of the Fourth Workshop on Statistical Machine Translation, 2009

The University of Maryland Statistical Machine Translation System for the Fourth Workshop on Machine Translation.
Proceedings of the Fourth Workshop on Statistical Machine Translation, 2009

Data Intensive Text Processing with MapReduce.
Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, Proceedings, May 31, 2009

Using a maximum entropy model to build segmentation lattices for MT.
Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, Proceedings, May 31, 2009

Monte Carlo inference and maximization for phrase-based translation.
Proceedings of the Thirteenth Conference on Computational Natural Language Learning, 2009

Demonstration of Joshua: An Open Source Toolkit for Parsing-based Machine Translation.
Proceedings of the ACL 2009, 2009

Efficient Minimum Error Rate Training and Minimum Bayes-Risk Decoding for Translation Hypergraphs and Lattices.
Proceedings of the ACL 2009, 2009

A Gibbs Sampler for Phrasal Synchronous Grammar Induction.
Proceedings of the ACL 2009, 2009

2008
Fast, Easy, and Cheap: Construction of Statistical Machine Translation Models with MapReduce.
Proceedings of the Third Workshop on Statistical Machine Translation, 2008

Generalizing Word Lattice Translation.
Proceedings of the ACL 2008, 2008

2007
The University of maryland translation system for IWSLT 2007.
Proceedings of the 2007 International Workshop on Spoken Language Translation, 2007


1999
virtual_Stages: an Interactive Model of Performance Spaces for Creative Teams, Technicians and Students.
Digit. Creativity, 1999


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