conftrace_
← Applications
Natural Language Processing › Applications ›

Machine Translation

4,869 papers

Papers per year

1
1
574
693
'10
'15
'20
'25

Papers

Improving Statistical Machine Translation with Selectional Preferences COLING 2016
Bilingual Autoencoders with Global Descriptors for Modeling Parallel Sentences COLING 2016
Multi-Engine and Multi-Alignment Based Automatic Post-Editing and its Impact on Translation Productivity COLING 2016
Measuring the Effect of Conversational Aspects on Machine Translation Quality COLING 2016
A Character-Aware Encoder for Neural Machine Translation COLING 2016
Improving Attention Modeling with Implicit Distortion and Fertility for Machine Translation COLING 2016
Neural Machine Translation with Supervised Attention COLING 2016
Improving Translation Selection with Supersenses COLING 2016
Is all that Glitters in Machine Translation Quality Estimation really Gold? COLING 2016
Connecting Phrase based Statistical Machine Translation Adaptation COLING 2016
Fast Collocation-Based Bayesian HMM Word Alignment COLING 2016
Learning to translate from graded and negative relevance information COLING 2016
Improving Word Alignment of Rare Words with Word Embeddings COLING 2016
Efficient Data Selection for Bilingual Terminology Extraction from Comparable Corpora COLING 2016
A Post-editing Interface for Immediate Adaptation in Statistical Machine Translation COLING 2016
A Prototype Automatic Simultaneous Interpretation System COLING 2016
MuTUAL: A Controlled Authoring Support System Enabling Contextual Machine Translation COLING 2016
CATaLog Online: A Web-based CAT Tool for Distributed Translation with Data Capture for APE and Translation Process Research COLING 2016
papago: A Machine Translation Service with Word Sense Disambiguation and Currency Conversion COLING 2016
Kyoto-NMT: a Neural Machine Translation implementation in Chainer COLING 2016
Quality Estimation for Language Output Applications COLING 2016
Translationese: Between Human and Machine Translation COLING 2016
Error Correction in Lightly Supervised Alignment of Broadcast Subtitles INTERSPEECH 2016
Learning a Translation Model from Word Lattices INTERSPEECH 2016
Transferring Emphasis in Speech Translation Using Hard-Attentional Neural Network Models INTERSPEECH 2016