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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 1701–1750 of 10752 papers

TitleStatusHype
Explaining with Contrastive Phrasal Highlighting: A Case Study in Assisting Humans to Detect Translation DifferencesCode0
On Significance of Subword tokenization for Low Resource and Efficient Named Entity Recognition: A case study in Marathi—0
End-to-End Speech-to-Text Translation: A Survey—0
English to Arabic machine translation of mathematical documents—0
Quick Back-Translation for Unsupervised Machine TranslationCode0
PipeOptim: Ensuring Effective 1F1B Schedule with Optimizer-Dependent Weight PredictionCode0
Women Are Beautiful, Men Are Leaders: Gender Stereotypes in Machine Translation and Language ModelingCode0
INarIG: Iterative Non-autoregressive Instruct Generation Model For Word-Level Auto Completion—0
Relevance-guided Neural Machine Translation—0
Mergen: The First Manchu-Korean Machine Translation Model Trained on Augmented Data—0
Evaluating Optimal Reference TranslationsCode0
Reducing Gender Bias in Machine Translation through Counterfactual Data Generation—0
Improving Word Sense Disambiguation in Neural Machine Translation with Salient Document Context—0
Content-Localization based System for Analyzing Sentiment and Hate Behaviors in Low-Resource Dialectal Arabic: English to Levantine and Gulf—0
Faster Minimum Bayes Risk Decoding with Confidence-based PruningCode0
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
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
Addressing the Length Bias Problem in Document-Level Neural Machine Translation—0
JWSign: A Highly Multilingual Corpus of Bible Translations for more Diversity in Sign Language ProcessingCode0
Clarify When Necessary: Resolving Ambiguity Through Interaction with LMs—0
AfriMTE and AfriCOMET: Enhancing COMET to Embrace Under-resourced African Languages—0
The Ups and Downs of Large Language Model Inference with Vocabulary Trimming by Language Heuristics—0
Aligning Neural Machine Translation Models: Human Feedback in Training and Inference—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
MAP's not dead yet: Uncovering true language model modes by conditioning away degeneracy—0
Evaluating Gender Bias in the Translation of Gender-Neutral Languages into English—0
Enhancing Machine Translation through Advanced In-Context Learning: A Methodological Strategy for GPT-4 Improvement—0
Assessing Translation capabilities of Large Language Models involving English and Indian Languages—0
LLMRefine: Pinpointing and Refining Large Language Models via Fine-Grained Actionable Feedback—0
On Using Distribution-Based Compositionality Assessment to Evaluate Compositional Generalisation in Machine TranslationCode0
How good are Large Language Models on African Languages?—0
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
PEMA: An Offsite-Tunable Plug-in External Memory Adaptation for Language ModelsCode0
Extending Multilingual Machine Translation through Imitation Learning—0
Investigating Multi-Pivot Ensembling with Massively Multilingual Machine Translation ModelsCode0
Context Consistency between Training and Testing in Simultaneous Machine TranslationCode0
Sharing, Teaching and Aligning: Knowledgeable Transfer Learning for Cross-Lingual Machine Reading Comprehension—0
CompCodeVet: A Compiler-guided Validation and Enhancement Approach for Code Dataset—0
Added Toxicity Mitigation at Inference Time for Multimodal and Massively Multilingual Translation—0
Don't Overlook the Grammatical Gender: Bias Evaluation for Hindi-English Machine TranslationCode0
Memorisation Cartography: Mapping out the Memorisation-Generalisation Continuum in Neural Machine Translation—0
Weakly-supervised Deep Cognate Detection Framework for Low-Resourced Languages Using Morphological Knowledge of Closely-Related LanguagesCode0
There's no Data Like Better Data: Using QE Metrics for MT Data Filtering—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