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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 951–1000 of 10752 papers

TitleStatusHype
Women Are Beautiful, Men Are Leaders: Gender Stereotypes in Machine Translation and Language ModelingCode0
Mergen: The First Manchu-Korean Machine Translation Model Trained on Augmented Data—0
Ascle: A Python Natural Language Processing Toolkit for Medical Text GenerationCode1
Evaluating Optimal Reference TranslationsCode0
A Benchmark for Evaluating Machine Translation Metrics on Dialects Without Standard OrthographyCode1
Content-Localization based System for Analyzing Sentiment and Hate Behaviors in Low-Resource Dialectal Arabic: English to Levantine and Gulf—0
Reducing Gender Bias in Machine Translation through Counterfactual Data Generation—0
Improving Word Sense Disambiguation in Neural Machine Translation with Salient Document Context—0
Increasing Coverage and Precision of Textual Information in Multilingual Knowledge GraphsCode1
Faster Minimum Bayes Risk Decoding with Confidence-based PruningCode0
OpusCleaner and OpusTrainer, open source toolkits for training Machine Translation and Large language modelsCode1
DP-NMT: Scalable Differentially-Private Machine TranslationCode0
Machine Translation for Ge'ez Language—0
Machine Translation to Control Formality Features in the Target Language—0
Leveraging Closed-Access Multilingual Embedding for Automatic Sentence Alignment in Low Resource LanguagesCode0
Addressing the Length Bias Problem in Document-Level Neural Machine Translation—0
Fine-Tuning Adaptive Stochastic Optimizers: Determining the Optimal Hyperparameter ε via Gradient Magnitude Histogram Analysis—0
Context-aware Neural Machine Translation for English-Japanese Business Scene DialoguesCode0
Vashantor: A Large-scale Multilingual Benchmark Dataset for Automated Translation of Bangla Regional Dialects to Bangla LanguageCode1
JWSign: A Highly Multilingual Corpus of Bible Translations for more Diversity in Sign Language ProcessingCode0
The Ups and Downs of Large Language Model Inference with Vocabulary Trimming by Language Heuristics—0
AfriMTE and AfriCOMET: Enhancing COMET to Embrace Under-resourced African Languages—0
Clarify When Necessary: Resolving Ambiguity Through Interaction with LMs—0
Enhancing Machine Translation through Advanced In-Context Learning: A Methodological Strategy for GPT-4 Improvement—0
LLMRefine: Pinpointing and Refining Large Language Models via Fine-Grained Actionable Feedback—0
To Translate or Not to Translate: A Systematic Investigation of Translation-Based Cross-Lingual Transfer to Low-Resource Languages—0
Neural machine translation for automated feedback on children's early-stage writing—0
Aligning Neural Machine Translation Models: Human Feedback in Training and Inference—0
MAP's not dead yet: Uncovering true language model modes by conditioning away degeneracy—0
Assessing Translation capabilities of Large Language Models involving English and Indian Languages—0
SentAlign: Accurate and Scalable Sentence AlignmentCode1
Evaluating Gender Bias in the Translation of Gender-Neutral Languages into English—0
Non-autoregressive Machine Translation with Probabilistic Context-free GrammarCode1
On Using Distribution-Based Compositionality Assessment to Evaluate Compositional Generalisation in Machine TranslationCode0
Direct Preference Optimization for Neural Machine Translation with Minimum Bayes Risk DecodingCode1
Extending Multilingual Machine Translation through Imitation Learning—0
PEMA: An Offsite-Tunable Plug-in External Memory Adaptation for Language ModelsCode0
Insights into Classifying and Mitigating LLMs' Hallucinations—0
On-the-Fly Fusion of Large Language Models and Machine Translation—0
Anti-LM Decoding for Zero-shot In-context Machine TranslationCode0
How good are Large Language Models on African Languages?—0
Context Consistency between Training and Testing in Simultaneous Machine TranslationCode0
Investigating Multi-Pivot Ensembling with Massively Multilingual Machine Translation ModelsCode0
Sharing, Teaching and Aligning: Knowledgeable Transfer Learning for Cross-Lingual Machine Reading Comprehension—0
Don't Overlook the Grammatical Gender: Bias Evaluation for Hindi-English Machine TranslationCode0
Added Toxicity Mitigation at Inference Time for Multimodal and Massively Multilingual Translation—0
CompCodeVet: A Compiler-guided Validation and Enhancement Approach for Code Dataset—0
Memorisation Cartography: Mapping out the Memorisation-Generalisation Continuum in Neural Machine Translation—0
There's no Data Like Better Data: Using QE Metrics for MT Data Filtering—0
Weakly-supervised Deep Cognate Detection Framework for Low-Resourced Languages Using Morphological Knowledge of Closely-Related LanguagesCode0
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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