SOTAVerified

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

Showing 72017250 of 10752 papers

TitleStatusHype
Exploring Neural Text Simplification ModelsCode0
Sequence-to-Dependency Neural Machine Translation0
CANE: Context-Aware Network Embedding for Relation ModelingCode0
Learning bilingual word embeddings with (almost) no bilingual data0
(Re)introducing Regular Graph Languages0
Chunk-based Decoder for Neural Machine Translation0
End-to-End Non-Factoid Question Answering with an Interactive Visualization of Neural Attention Weights0
Bilingual Word Embeddings with Bucketed CNN for Parallel Sentence Extraction0
A Progressive Learning Approach to Chinese SRL Using Heterogeneous Data0
Sentence Embedding for Neural Machine Translation Domain Adaptation0
Synthetic Data for Neural Machine Translation of Spoken-Dialects0
Alternative Objective Functions for Training MT Evaluation Metrics0
Hybrid Neural Network Alignment and Lexicon Model in Direct HMM for Statistical Machine Translation0
Sentence Alignment Methods for Improving Text Simplification Systems0
Latent-Variable PCFGs: Background and Applications0
Neural Architectures for Multilingual Semantic Parsing0
Improving Implicit Discourse Relation Recognition with Discourse-specific Word Embeddings0
Improved Word Representation Learning with SememesCode0
Speeding Up Neural Machine Translation Decoding by Shrinking Run-time Vocabulary0
Discourse Annotation of Non-native Spontaneous Spoken Responses Using the Rhetorical Structure Theory Framework0
Building a Non-Trivial Paraphrase Corpus Using Multiple Machine Translation SystemsCode0
Beyond Words: Deep Learning for Multiword Expressions and Collocations0
Feature Hashing for Language and Dialect Identification0
A Generative Attentional Neural Network Model for Dialogue Act Classification0
An Empirical Comparison of Domain Adaptation Methods for Neural Machine Translation0
Evaluating Compound Splitters Extrinsically with Textual Entailment0
Incorporating Word Reordering Knowledge into Attention-based Neural Machine Translation0
Modeling Situations in Neural Chat Bots0
Attention Strategies for Multi-Source Sequence-to-Sequence Learning0
EuroSense: Automatic Harvesting of Multilingual Sense Annotations from Parallel Text0
UCCAApp: Web-application for Syntactic and Semantic Phrase-based Annotation0
Visualizing and Understanding Neural Machine Translation0
Automated Audio Captioning with Recurrent Neural Networks0
Neural Sequence Model Training via α-divergence MinimizationCode0
Stronger Baselines for Trustable Results in Neural Machine TranslationCode0
Relevance of Unsupervised Metrics in Task-Oriented Dialogue for Evaluating Natural Language GenerationCode0
Automatic Mapping of French Discourse Connectives to PDTB Discourse RelationsCode0
Generative Bridging Network in Neural Sequence Prediction0
Memory-augmented Chinese-Uyghur Neural Machine Translation0
English-Japanese Neural Machine Translation with Encoder-Decoder-ReconstructorCode0
Neural Machine Translation with Gumbel-Greedy Decoding0
Towards Proof Synthesis Guided by Neural Machine Translation for Intuitionistic Propositional Logic0
THUMT: An Open Source Toolkit for Neural Machine TranslationCode0
An Empirical Study of Mini-Batch Creation Strategies for Neural Machine Translation0
Towards Neural Phrase-based Machine TranslationCode0
Ensembling Factored Neural Machine Translation Models for Automatic Post-Editing and Quality EstimationCode0
Fine-grained human evaluation of neural versus phrase-based machine translationCode0
SEARNN: Training RNNs with Global-Local LossesCode0
An Exploration of Neural Sequence-to-Sequence Architectures for Automatic Post-Editing0
Device Placement Optimization with Reinforcement LearningCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Transformer Cycle (Rev)BLEU score35.14Unverified
2Noisy back-translationBLEU score35Unverified
3Transformer+Rep(Uni)BLEU score33.89Unverified
4T5-11BBLEU score32.1Unverified
5BiBERTBLEU score31.26Unverified
6Transformer + R-DropBLEU score30.91Unverified
7Bi-SimCutBLEU score30.78Unverified
8BERT-fused NMTBLEU score30.75Unverified
9Data Diversification - TransformerBLEU score30.7Unverified
10SimCutBLEU score30.56Unverified
#ModelMetricClaimedVerifiedStatus
1Transformer+BT (ADMIN init)BLEU score46.4Unverified
2Noisy back-translationBLEU score45.6Unverified
3mRASP+Fine-TuneBLEU score44.3Unverified
4Transformer + R-DropBLEU score43.95Unverified
5Transformer (ADMIN init)BLEU score43.8Unverified
6AdminBLEU score43.8Unverified
7BERT-fused NMTBLEU score43.78Unverified
8MUSE(Paralllel Multi-scale Attention)BLEU score43.5Unverified
9T5BLEU score43.4Unverified
10Local Joint Self-attentionBLEU score43.3Unverified
#ModelMetricClaimedVerifiedStatus
1PiNMTBLEU score40.43Unverified
2BiBERTBLEU score38.61Unverified
3Bi-SimCutBLEU score38.37Unverified
4Cutoff + Relaxed Attention + LMBLEU score37.96Unverified
5DRDABLEU score37.95Unverified
6Transformer + R-Drop + CutoffBLEU score37.9Unverified
7SimCutBLEU score37.81Unverified
8Cutoff+KneeBLEU score37.78Unverified
9CutoffBLEU score37.6Unverified
10CipherDAugBLEU score37.53Unverified
#ModelMetricClaimedVerifiedStatus
1HWTSC-Teacher-SimScore19.97Unverified
2MS-COMET-22Score19.89Unverified
3MS-COMET-QE-22Score19.76Unverified
4KG-BERTScoreScore17.28Unverified
5metricx_xl_DA_2019Score17.17Unverified
6COMET-QEScore16.8Unverified
7COMET-22Score16.31Unverified
8UniTE-srcScore15.68Unverified
9UniTE-refScore15.38Unverified
10metricx_xxl_DA_2019Score15.24Unverified