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 2001–2050 of 10752 papers

TitleStatusHype
MTCue: Learning Zero-Shot Control of Extra-Textual Attributes by Leveraging Unstructured Context in Neural Machine TranslationCode0
What about em? How Commercial Machine Translation Fails to Handle (Neo-)Pronouns—0
Cross-Lingual Knowledge Distillation for Answer Sentence Selection in Low-Resource Languages—0
Leveraging GPT-4 for Automatic Translation Post-Editing—0
Dolphin: A Challenging and Diverse Benchmark for Arabic NLG—0
MuLER: Detailed and Scalable Reference-based Evaluation—0
RAND: Robustness Aware Norm Decay For Quantized Seq2seq Models—0
Not All Metrics Are Guilty: Improving NLG Evaluation by Diversifying ReferencesCode0
Textless Speech-to-Speech Translation With Limited Parallel DataCode0
A Survey of Diffusion Models in Natural Language Processing—0
Benchmarking Machine Translation with Cultural AwarenessCode0
When Does Monolingual Data Help Multilingual Translation: The Role of Domain and Model Scale—0
Language Model Self-improvement by Reinforcement Learning Contemplation—0
Multilingual Large Language Models Are Not (Yet) Code-Switchers—0
Condensing Multilingual Knowledge with Lightweight Language-Specific ModulesCode0
Challenges in Context-Aware Neural Machine TranslationCode0
CTQScorer: Combining Multiple Features for In-context Example Selection for Machine TranslationCode0
Optimizing Non-Autoregressive Transformers with Contrastive Learning—0
Cascaded Beam Search: Plug-and-Play Terminology-Forcing For Neural Machine Translation—0
Exploring Representational Disparities Between Multilingual and Bilingual Translation Models—0
Multilingual Pixel Representations for Translation and Effective Cross-lingual Transfer—0
Non-parametric, Nearest-neighbor-assisted Fine-tuning for Neural Machine Translation—0
TeCS: A Dataset and Benchmark for Tense Consistency of Machine TranslationCode0
Beyond Shared Vocabulary: Increasing Representational Word Similarities across Languages for Multilingual Machine TranslationCode0
Improving speech translation by fusing speech and text—0
Revisiting Machine Translation for Cross-lingual Classification—0
Target-Agnostic Gender-Aware Contrastive Learning for Mitigating Bias in Multilingual Machine TranslationCode0
One-stop Training of Multiple Capacity Models—0
CombLM: Adapting Black-Box Language Models through Small Fine-Tuned Models—0
Improving Isochronous Machine Translation with Target Factors and Auxiliary Counters—0
Neural Machine Translation for Code Generation—0
GATology for Linguistics: What Syntactic Dependencies It Knows—0
Learning Optimal Policy for Simultaneous Machine Translation via Binary SearchCode0
Decomposed Prompting for Machine Translation Between Related Languages using Large Language ModelsCode0
Nearest Neighbor Machine Translation is Meta-Optimizer on Output Projection LayerCode0
Extrapolating Multilingual Understanding Models as Multilingual Generators—0
Non-Autoregressive Document-Level Machine TranslationCode0
Mitigating Data Imbalance and Representation Degeneration in Multilingual Machine TranslationCode0
Syntactic Knowledge via Graph Attention with BERT in Machine Translation—0
Machine Translation by Projecting Text into the Same Phonetic-Orthographic Space Using a Common Encoding—0
Is Translation Helpful? An Empirical Analysis of Cross-Lingual Transfer in Low-Resource Dialog Generation—0
VAKTA-SETU: A Speech-to-Speech Machine Translation Service in Select Indic Languages—0
AlignAtt: Using Attention-based Audio-Translation Alignments as a Guide for Simultaneous Speech TranslationCode0
Cross-Lingual Supervision improves Large Language Models Pre-training—0
ReSeTOX: Re-learning attention weights for toxicity mitigation in machine translationCode0
The Inside Story: Towards Better Understanding of Machine Translation Neural Evaluation Metrics—0
Viewing Knowledge Transfer in Multilingual Machine Translation Through a Representational Lens—0
Pseudo-Label Training and Model Inertia in Neural Machine Translation—0
Deep Learning Methods for Extracting Metaphorical Names of Flowers and Plants—0
On the Off-Target Problem of Zero-Shot Multilingual Neural Machine TranslationCode0
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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