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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 2051–2100 of 10752 papers

TitleStatusHype
Deep Learning Methods for Extracting Metaphorical Names of Flowers and Plants—0
Exploiting Biased Models to De-bias Text: A Gender-Fair Rewriting ModelCode0
Multilingual Event Extraction from Historical Newspaper AdvertsCode0
ChatGPT Perpetuates Gender Bias in Machine Translation and Ignores Non-Gendered Pronouns: Findings across Bengali and Five other Low-Resource Languages—0
Bring More Attention to Syntactic Symmetry for Automatic Postediting of High-Quality Machine Translations—0
ACRoBat: Optimizing Auto-batching of Dynamic Deep Learning at Compile Time—0
Variable-length Neural Interlingua Representations for Zero-shot Neural Machine Translation—0
Searching for Needles in a Haystack: On the Role of Incidental Bilingualism in PaLM's Translation Capability—0
A Survey on Zero Pronoun Translation—0
Iterative Adversarial Attack on Image-guided Story Ending Generation—0
Progressive Translation: Improving Domain Robustness of Neural Machine Translation with Intermediate SequencesCode0
Exploring the Impact of Layer Normalization for Zero-shot Neural Machine Translation—0
The Interpreter Understands Your Meaning: End-to-end Spoken Language Understanding Aided by Speech TranslationCode0
Critical Appraisal of Artificial Intelligence-Mediated Communication—0
Towards Understanding and Improving Knowledge Distillation for Neural Machine TranslationCode0
PESTS: Persian_English Cross Lingual Corpus for Semantic Textual Similarity—0
RC3: Regularized Contrastive Cross-lingual Cross-modal Pre-trainingCode0
Perturbation-based QE: An Explainable, Unsupervised Word-level Quality Estimation Method for Blackbox Machine TranslationCode0
Improving Cascaded Unsupervised Speech Translation with Denoising Back-translation—0
Improving the Quality of Neural Machine Translation Through Proper Translation of Name Entities—0
Chain-of-Dictionary Prompting Elicits Translation in Large Language ModelsCode0
The First Parallel Corpora for Kurdish Sign Language—0
How Good are Commercial Large Language Models on African Languages?—0
Subword Segmental Machine Translation: Unifying Segmentation and Target Sentence GenerationCode0
Multi-Path Transformer is Better: A Case Study on Neural Machine Translation—0
CharSpan: Utilizing Lexical Similarity to Enable Zero-Shot Machine Translation for Extremely Low-resource Languages—0
Who Needs Decoders? Efficient Estimation of Sequence-level Attributes—0
E2TIMT: Efficient and Effective Modal Adapter for Text Image Machine TranslationCode0
Multi-Teacher Knowledge Distillation For Text Image Machine TranslationCode0
LABO: Towards Learning Optimal Label Regularization via Bi-level Optimization—0
Accessible Instruction-Following Agent—0
Leveraging Synthetic Targets for Machine Translation—0
Label-Free Multi-Domain Machine Translation with Stage-wise Training—0
Implications of Multi-Word Expressions on English to Bharti Braille Machine Translation—0
Sparsifying Bayesian neural networks with latent binary variables and normalizing flowsCode0
In-context Learning as Maintaining Coherency: A Study of On-the-fly Machine Translation Using Large Language Models—0
A Low-Resource Approach to the Grammatical Error Correction of UkrainianCode0
Learning Language-Specific Layers for Multilingual Machine Translation—0
What changes when you randomly choose BPE merge operations? Not muchCode0
Investigating Lexical Sharing in Multilingual Machine Translation for Indian Languages—0
Unified Model Learning for Various Neural Machine Translation—0
End-to-end Training and Decoding for Pivot-based Cascaded Translation Model—0
Evaluating the Efficacy of Length-Controllable Machine Translation—0
Towards Being Parameter-Efficient: A Stratified Sparsely Activated Transformer with Dynamic CapacityCode0
Backdoor Learning on Sequence to Sequence Models—0
Shared Latent Space by Both Languages in Non-Autoregressive Neural Machine Translation—0
A Paradigm Shift: The Future of Machine Translation Lies with Large Language Models—0
Sentiment Perception Adversarial Attacks on Neural Machine Translation Systems—0
Neural Machine Translation Models with Attention-Based Dropout LayerCode0
Low-Resourced Machine Translation for Senegalese Wolof Language—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