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Machine Translation

Machine translation is the task of translating a sentence in a source language to a different target language.

Approaches for machine translation can range from rule-based to statistical to neural-based. More recently, encoder-decoder attention-based architectures like BERT have attained major improvements in machine translation.

One of the most popular datasets used to benchmark machine translation systems is the WMT family of datasets. Some of the most commonly used evaluation metrics for machine translation systems include BLEU, METEOR, NIST, and others.

( Image credit: Google seq2seq )

Papers

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Showing 7901–7950 of 10752 papers

TitleStatusHype
bot.zen @ EmpiriST 2015 - A minimally-deep learning PoS-tagger (trained for German CMC and Web data)—0
NYU-MILA Neural Machine Translation Systems for WMT'16—0
Incremental Prediction of Sentence-final Verbs: Humans versus Machines—0
An Unsupervised Method for Automatic Translation Memory Cleaning—0
Multi-Modal Representations for Improved Bilingual Lexicon Learning—0
Morphological reinflection with convolutional neural networks—0
A Framework for Discriminative Rule Selection in Hierarchical Moses—0
Cross-language Projection of Dependency Trees with Constrained Partial Parsing for Tree-to-Tree Machine Translation—0
Efficient techniques for parsing with tree automata—0
SoNLP-DP System for ConLL-2016 Chinese Shallow Discourse Parsing—0
Hybrid Morphological Segmentation for Phrase-Based Machine Translation—0
The AFRL-MITLL WMT16 News-Translation Task Systems—0
An Efficient Cross-lingual Model for Sentence Classification Using Convolutional Neural Network—0
Attention-based Multimodal Neural Machine Translation—0
Bitextor's participation in WMT'16: shared task on document alignment—0
Neural Network-Based Model for Japanese Predicate Argument Structure Analysis—0
Findings of the 2016 Conference on Machine Translation—0
Neural Networks For Negation Scope Detection—0
NRC Russian-English Machine Translation System for WMT 2016—0
The FBK Participation in the WMT 2016 Automatic Post-editing Shared Task—0
A Dataset for Joint Noun-Noun Compound Bracketing and Interpretation—0
Examining the Relationship between Preordering and Word Order Freedom in Machine Translation—0
Set-Theoretic Alignment for Comparable Corpora—0
SimpleNets: Quality Estimation with Resource-Light Neural Networks—0
Deep Fusion LSTMs for Text Semantic Matching—0
Merged bilingual trees based on Universal Dependencies in Machine Translation—0
Results of the WMT16 Tuning Shared Task—0
Modeling Selectional Preferences of Verbs and Nouns in String-to-Tree Machine Translation—0
Continuous Profile Models in ASL Syntactic Facial Expression Synthesis—0
A Neural Network based Approach to Automatic Post-Editing—0
Modeling the Non-Substitutability of Multiword Expressions with Distributional Semantics and a Log-Linear Model—0
Feature Exploration for Cross-Lingual Pronoun Prediction—0
Automatic Semantic Classification of German Preposition Types: Comparing Hard and Soft Clustering Approaches across Features—0
Phrase-Level Combination of SMT and TM Using Constrained Word Lattice—0
Modeling verbal inflection for English to German SMT—0
Learning Word Meta-Embeddings—0
Semi-supervised Convolutional Networks for Translation Adaptation with Tiny Amount of In-domain Data—0
Supersense Embeddings: A Unified Model for Supersense Interpretation, Prediction, and Utilization—0
Improved Semantic Parsers For If-Then Statements—0
Cross-lingual Pronoun Prediction for English, French and German with Maximum Entropy Classification—0
MetaMind Neural Machine Translation System for WMT 2016—0
CobaltF: A Fluent Metric for MT Evaluation—0
Normalising Medical Concepts in Social Media Texts by Learning Semantic RepresentationCode0
The JHU Machine Translation Systems for WMT 2016—0
USAAR: An Operation Sequential Model for Automatic Statistical Post-Editing—0
USFD's Phrase-level Quality Estimation Systems—0
The Role of Modifier and Head Properties in Predicting the Compositionality of English and German Noun-Noun Compounds: A Vector-Space Perspective—0
The Kyoto University Cross-Lingual Pronoun Translation System—0
UGENT-LT3 SCATE Submission for WMT16 Shared Task on Quality Estimation—0
Yandex School of Data Analysis approach to English-Turkish translation at WMT16 News Translation Task—0
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All datasetsWMT2014 English-GermanWMT2014 English-FrenchIWSLT2014 German-EnglishACESWMT2016 English-RomanianWMT2016 Romanian-EnglishWMT2014 German-EnglishIWSLT2015 German-EnglishWMT2016 English-GermanIWSLT2015 English-VietnameseIWSLT2015 English-GermanWMT2016 German-English

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Transformer Cycle (Rev)BLEU score35.14—Unverified
2Noisy back-translationBLEU score35—Unverified
3Transformer+Rep(Uni)BLEU score33.89—Unverified
4T5-11BBLEU score32.1—Unverified
5BiBERTBLEU score31.26—Unverified
6Transformer + R-DropBLEU score30.91—Unverified
7Bi-SimCutBLEU score30.78—Unverified
8BERT-fused NMTBLEU score30.75—Unverified
9Data Diversification - TransformerBLEU score30.7—Unverified
10SimCutBLEU score30.56—Unverified
#ModelMetricClaimedVerifiedStatus
1Transformer+BT (ADMIN init)BLEU score46.4—Unverified
2Noisy back-translationBLEU score45.6—Unverified
3mRASP+Fine-TuneBLEU score44.3—Unverified
4Transformer + R-DropBLEU score43.95—Unverified
5AdminBLEU score43.8—Unverified
6Transformer (ADMIN init)BLEU score43.8—Unverified
7BERT-fused NMTBLEU score43.78—Unverified
8MUSE(Paralllel Multi-scale Attention)BLEU score43.5—Unverified
9T5BLEU score43.4—Unverified
10Local Joint Self-attentionBLEU score43.3—Unverified
#ModelMetricClaimedVerifiedStatus
1PiNMTBLEU score40.43—Unverified
2BiBERTBLEU score38.61—Unverified
3Bi-SimCutBLEU score38.37—Unverified
4Cutoff + Relaxed Attention + LMBLEU score37.96—Unverified
5DRDABLEU score37.95—Unverified
6Transformer + R-Drop + CutoffBLEU score37.9—Unverified
7SimCutBLEU score37.81—Unverified
8Cutoff+KneeBLEU score37.78—Unverified
9CutoffBLEU score37.6—Unverified
10CipherDAugBLEU score37.53—Unverified
#ModelMetricClaimedVerifiedStatus
1HWTSC-Teacher-SimScore19.97—Unverified
2MS-COMET-22Score19.89—Unverified
3MS-COMET-QE-22Score19.76—Unverified
4KG-BERTScoreScore17.28—Unverified
5metricx_xl_DA_2019Score17.17—Unverified
6COMET-QEScore16.8—Unverified
7COMET-22Score16.31—Unverified
8UniTE-srcScore15.68—Unverified
9UniTE-refScore15.38—Unverified
10metricx_xxl_DA_2019Score15.24—Unverified