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 1001–1050 of 10752 papers

TitleStatusHype
Retro-BLEU: Quantifying Chemical Plausibility of Retrosynthesis Routes through Reaction Template Sequence AnalysisCode0
First Tragedy, then Parse: History Repeats Itself in the New Era of Large Language Models—0
Gender Inflected or Bias Inflicted: On Using Grammatical Gender Cues for Bias Evaluation in Machine TranslationCode0
Bilingual Corpus Mining and Multistage Fine-Tuning for Improving Machine Translation of Lecture TranscriptsCode1
CBSiMT: Mitigating Hallucination in Simultaneous Machine Translation with Weighted Prefix-to-Prefix Training—0
Improving Machine Translation with Large Language Models: A Preliminary Study with Cooperative DecodingCode0
Findings of the WMT 2023 Shared Task on Discourse-Level Literary Translation: A Fresh Orb in the Cosmos of LLMs—0
Rule Learning as Machine Translation using the Atomic Knowledge BankCode0
TreeSwap: Data Augmentation for Machine Translation via Dependency Subtree SwappingCode0
Identifying Context-Dependent Translations for Evaluation Set ProductionCode0
Narrowing the Gap between Zero- and Few-shot Machine Translation by Matching Styles—0
Replicable Benchmarking of Neural Machine Translation (NMT) on Low-Resource Local Languages in IndonesiaCode0
Robustness Tests for Automatic Machine Translation Metrics with Adversarial AttacksCode0
Video-Helpful Multimodal Machine TranslationCode0
Is Robustness Transferable across Languages in Multilingual Neural Machine Translation?—0
Towards a Deep Understanding of Multilingual End-to-End Speech TranslationCode0
The Unreasonable Effectiveness of Random Target Embeddings for Continuous-Output Neural Machine Translation—0
Integrating Pre-trained Language Model into Neural Machine Translation—0
The Eval4NLP 2023 Shared Task on Prompting Large Language Models as Explainable MetricsCode1
CreoleVal: Multilingual Multitask Benchmarks for CreolesCode1
Unified Segment-to-Segment Framework for Simultaneous Sequence Generation—0
Incorporating Probing Signals into Multimodal Machine Translation via Visual Question-Answering PairsCode0
Evaluation of large language models using an Indian language LGBTI+ lexicon—0
Cultural Adaptation of Recipes—0
LLM Performance Predictors are good initializers for Architecture SearchCode0
DISCO: A Large Scale Human Annotated Corpus for Disfluency Correction in Indo-European LanguagesCode0
Physician Detection of Clinical Harm in Machine Translation: Quality Estimation Aids in Reliance and Backtranslation Identifies Critical ErrorsCode0
CUNI Submission to MRL 2023 Shared Task on Multi-lingual Multi-task Information Retrieval—0
Enhanced Simultaneous Machine Translation with Word-level PoliciesCode1
XFEVER: Exploring Fact Verification across LanguagesCode0
FLTrojan: Privacy Leakage Attacks against Federated Language Models Through Selective Weight Tampering—0
NADI 2023: The Fourth Nuanced Arabic Dialect Identification Shared Task—0
Machine Translation for Nko: Tools, Corpora and Baseline ResultsCode0
Dissecting In-Context Learning of Translations in GPTs—0
A Review of Reinforcement Learning for Natural Language Processing, and Applications in Healthcare—0
Data Augmentation Techniques for Machine Translation of Code-Switched Texts: A Comparative Study—0
Reference Free Domain Adaptation for Translation of Noisy Questions with Question Specific RewardsCode0
Quantifying the Dialect Gap and its Correlates Across Languages—0
Multilingual k-Nearest-Neighbor Machine TranslationCode0
Adaptive Policy with Wait-k Model for Simultaneous Translation—0
Contextual Refinement of Translations: Large Language Models for Sentence and Document-Level Post-Editing—0
PartialFormer: Modeling Part Instead of Whole for Machine TranslationCode0
Non-autoregressive Streaming Transformer for Simultaneous TranslationCode1
Boosting Unsupervised Machine Translation with Pseudo-Parallel Data—0
Domain Terminology Integration into Machine Translation: Leveraging Large Language Models—0
Code-Switching with Word Senses for Pretraining in Neural Machine Translation—0
Linguistically Motivated Sign Language SegmentationCode1
On Bilingual Lexicon Induction with Large Language ModelsCode1
Simultaneous Machine Translation with Tailored Reference—0
Steering Large Language Models for Machine Translation with Finetuning and In-Context Learning—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