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 2301–2350 of 10752 papers

TitleStatusHype
DiffusER: Discrete Diffusion via Edit-based Reconstruction—0
Improving Zero-Shot Multilingual Translation with Universal Representations and Cross-MappingsCode0
Domain Adaptation of Machine Translation with Crowdworkers—0
COMET-QE and Active Learning for Low-Resource Machine Translation—0
Robust Domain Adaptation for Pre-trained Multilingual Neural Machine Translation Models—0
Smart Speech Segmentation using Acousto-Linguistic Features with look-ahead—0
A Bilingual Parallel Corpus with Discourse AnnotationsCode0
Improving Speech-to-Speech Translation Through Unlabeled Text—0
Bilingual Lexicon Induction for Low-Resource Languages using Graph Matching via Optimal Transport—0
Focused Concatenation for Context-Aware Neural Machine TranslationCode0
Bilingual Synchronization: Restoring Translational Relationships with Editing OperationsCode0
Analyzing the Use of Influence Functions for Instance-Specific Data Filtering in Neural Machine Translation—0
Specializing Multi-domain NMT via Penalizing Low Mutual Information—0
Finding Memo: Extractive Memorization in Constrained Sequence Generation TasksCode0
Translation Word-Level Auto-Completion: What can we achieve out of the box?Code0
Additive Interventions Yield Robust Multi-Domain Machine Translation Models—0
On the Limitations of Reference-Free Evaluations of Generated Text—0
A Semi-supervised Approach for a Better Translation of Sentiment in Dialectical Arabic UGT—0
SIT at MixMT 2022: Fluent Translation Built on Giant Pre-trained Models—0
Is Encoder-Decoder Redundant for Neural Machine Translation?—0
Syntax-guided Localized Self-attention by Constituency Syntactic DistanceCode0
Revisiting Checkpoint Averaging for Neural Machine Translation—0
University of Cape Town's WMT22 System: Multilingual Machine Translation for Southern African Languages—0
Turning Fixed to Adaptive: Integrating Post-Evaluation into Simultaneous Machine TranslationCode0
Gui at MixMT 2022 : English-Hinglish: An MT approach for translation of code mixed data—0
Graphemic Normalization of the Perso-Arabic ScriptCode0
Can Domains Be Transferred Across Languages in Multi-Domain Multilingual Neural Machine Translation?—0
Multi-Granularity Optimization for Non-Autoregressive TranslationCode0
The University of Edinburgh's Submission to the WMT22 Code-Mixing Shared Task (MixMT)—0
The VolcTrans System for WMT22 Multilingual Machine Translation TaskCode0
Wait-info Policy: Balancing Source and Target at Information Level for Simultaneous Machine TranslationCode0
Hybrid-Regressive Neural Machine Translation—0
A Continuum of Generation Tasks for Investigating Length Bias and Degenerate Repetition—0
Separating Grains from the Chaff: Using Data Filtering to Improve Multilingual Translation for Low-Resourced African Languages—0
LVP-M3: Language-aware Visual Prompt for Multilingual Multimodal Machine Translation—0
Arithmetic Sampling: Parallel Diverse Decoding for Large Language Models—0
Simple and Effective Unsupervised Speech Translation—0
Domain Specific Sub-network for Multi-Domain Neural Machine Translation—0
Discrete Cross-Modal Alignment Enables Zero-Shot Speech TranslationCode0
Image Operation Chain Detection with Machine Translation Framework—0
Increasing Visual Awareness in Multimodal Neural Machine Translation from an Information Theoretic Perspective—0
Modeling Context With Linear Attention for Scalable Document-Level TranslationCode0
Generating Synthetic Speech from SpokenVocab for Speech TranslationCode0
Algorithms for Weighted Pushdown AutomataCode0
Categorizing Semantic Representations for Neural Machine Translation—0
CROP: Zero-shot Cross-lingual Named Entity Recognition with Multilingual Labeled Sequence TranslationCode0
On the Explainability of Natural Language Processing Deep Models—0
DICTDIS: Dictionary Constrained Disambiguation for Improved NMT—0
Investigating Massive Multilingual Pre-Trained Machine Translation Models for Clinical Domain via Transfer Learning—0
DATScore: Evaluating Translation with Data Augmented Translations—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