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

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Showing 2901–2950 of 10752 papers

TitleStatusHype
Pirá: A Bilingual Portuguese-English Dataset for Question-Answering about the OceanCode0
Data Scaling Laws in NMT: The Effect of Noise and Architecture—0
The Ecological Footprint of Neural Machine Translation SystemsCode0
A Survey on Retrieval-Augmented Text Generation—0
Examining Scaling and Transfer of Language Model Architectures for Machine Translation—0
Anticipation-Free Training for Simultaneous Machine TranslationCode0
Learning How to Translate North Korean through South Korean—0
Impact of representation matching with neural machine translationCode0
Tackling data scarcity in speech translation using zero-shot multilingual machine translation techniquesCode0
CsFEVER and CTKFacts: Acquiring Czech data for fact verificationCode0
BTPK-based interpretable method for NER tasks based on Talmudic Public Announcement Logic—0
Supervised Visual Attention for Simultaneous Multimodal Machine Translation—0
Improving Neural Machine Translation by Denoising Training—0
Extending the Vocabulary of Fictional Languages using Neural Networks—0
Syntax-based data augmentation for Hungarian-English machine translationCode0
Computational Methods for Single-Cell Multi-Omics Integration and Alignment—0
Understanding Few-Shot Multi-Task Representation Learning Theory—0
Discovering Non-Monotonic Autoregressive Ordering for Text Generation Models using Sinkhorn Distributions—0
Neighbors Are Not Strangers: Improving Non-Autoregressive Translation under Low-Frequency Lexical Constraints—0
Non-Autoregressive Machine Translation: It's Not as Fast as it Seems—0
Investigating the Roots of Gender Bias in Machine Translation: Observations on Gender Transfer between French and English—0
Cheat Codes to Quantify Missing Source Information in Neural Machine Translation—0
Original or Translated? A Causal Analysis of the Impact of Translationese on Machine Translation Performance—0
Does Summary Evaluation Survive Translation to Other Languages?—0
Improving both domain robustness and domain adaptability in machine translation—0
When does Parameter-Efficient Transfer Learning Work for Machine Translation?—0
On the Effectiveness of Quasi Character-Level Models for Machine Translation—0
Can Multilinguality Benefit Non-autoregressive Machine Translation?—0
Embedding-Enhanced GIZA++: Improving Low-Resource Word Alignment Using Embeddings—0
Non-Autoregressive Neural Machine Translation with Consistency Regularization Optimized Variational Framework—0
A Graph Fusion Approach for Cross-Lingual Machine Reading Comprehension—0
BlonDe: An Automatic Evaluation Metric for Document-level Machine Translation—0
Bi-SimCut: A Simple Strategy for Boosting Neural Machine Translation—0
Bilingual Lexicon Induction for Low-Resource Languages using Graph Matching via Optimal Transport—0
The Impact of Cross-Lingual Adjustment of Contextual Word Representations on Zero-Shot Transfer—0
Bidimensional Leaderboards: Generate and Evaluate Language Hand in Hand—0
Better Uncertainty Quantification for Machine Translation Evaluation—0
Nearest Neighbor Knowledge Distillation for Neural Machine Translation—0
Latent Group Dropout for Multilingual and Multidomain Machine Translation—0
Efficient Machine Translation Domain Adaptation—0
Knowledge Based Template Machine Translation In Low-Resource Setting—0
Investigating Math Word Problems using Pretrained Multilingual Language Models—0
Defending against Backdoor Attacks in Natural Language Generation—0
DEEP: DEnoising Entity Pre-training for Neural Machine Translation—0
Improving Robustness in Multilingual Machine Translation via Data Augmentation—0
When do Contrastive Word Alignments Improve Many-to-many Neural Machine Translation?—0
Quantifying Synthesis and Fusion and their Impact on Machine Translation—0
Don't Take It Literally: An Edit-Invariant Sequence Loss for Text Generation—0
What Role Does BERT Play in the Neural Machine Translation Encoder?—0
Multi-way VNMT for UGC: Improving Robustness and Capacity via Mixture Density Networks—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
5Transformer (ADMIN init)BLEU score43.8—Unverified
6AdminBLEU 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