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 4201–4250 of 10752 papers

TitleStatusHype
Continuous Word Embedding Fusion via Spectral Decomposition—0
Continuous Space Translation Models with Neural Networks—0
A Systematic Study Reveals Unexpected Interactions in Pre-Trained Neural Machine Translation—0
AMRITA\_CEN@SemEval-2015: Paraphrase Detection for Twitter using Unsupervised Feature Learning with Recursive Autoencoders—0
A Berkeley View of Systems Challenges for AI—0
Continuous Space Translation Models for Phrase-Based Statistical Machine Translation—0
Continuous Profile Models in ASL Syntactic Facial Expression Synthesis—0
A Systematic Study of Inner-Attention-Based Sentence Representations in Multilingual Neural Machine Translation—0
Continuous multilinguality with language vectors—0
Continuous Model Improvement for Language Understanding with Machine Translation—0
Amrita\_CEN at SemEval-2016 Task 1: Semantic Relation from Word Embeddings in Higher Dimension—0
Continuous Measurement Scales in Human Evaluation of Machine Translation—0
Continuous Learning in Neural Machine Translation using Bilingual Dictionaries—0
A Systematic Exploration of Diversity in Machine Translation—0
Continuous Adaptation to User Feedback for Statistical Machine Translation—0
A Systematic Comparison of Smoothing Techniques for Sentence-Level BLEU—0
AMRICA: an AMR Inspector for Cross-language Alignments—0
Added Toxicity Mitigation at Inference Time for Multimodal and Massively Multilingual Translation—0
Hashtag Recommendation Using End-To-End Memory Networks with Hierarchical Attention—0
Continual Quality Estimation with Online Bayesian Meta-Learning—0
A Systematic Comparison of Phrase Table Pruning Techniques—0
Harvesting comparable corpora and mining them for equivalent bilingual sentences using statistical classification and analogy- based heuristics—0
Amplexor MTExpert – machine translation adapted to the translation workflow—0
A Systematic Bayesian Treatment of the IBM Alignment Models—0
ADAT: Time-Series-Aware Adaptive Transformer Architecture for Sign Language Translation—0
Harvesting Parallel News Streams to Generate Paraphrases of Event Relations—0
Continual Learning for Neural Machine Translation—0
Contextual Text Embeddings for Twi—0
A Systematic Analysis of Vocabulary and BPE Settings for Optimal Fine-tuning of NMT: A Case Study of In-domain Translation—0
Contextual Refinement of Translations: Large Language Models for Sentence and Document-Level Post-Editing—0
A Systematic Analysis of Subwords and Cross-Lingual Transfer in Multilingual Translation—0
Amortized Noisy Channel Neural Machine Translation—0
Harvesting Parallel Text in Multiple Languages with Limited Supervision—0
A Compact and Language-Sensitive Multilingual Translation Method—0
A Syntax-Guided Grammatical Error Correction Model with Dependency Tree Correction—0
BOTS-LM: Training Large Language Models for Setswana—0
A Morphologically-Aware Dictionary-based Data Augmentation Technique for Machine Translation of Under-Represented Languages—0
A Synchronous Hyperedge Replacement Grammar based approach for AMR parsing—0
AdaTranS: Adapting with Boundary-based Shrinking for End-to-End Speech Translation—0
Harnessing Multilinguality in Unsupervised Machine Translation for Rare Languages—0
Contextualized Role Interaction for Neural Machine Translation—0
Contextual Hyperedge Replacement Grammars for Abstract Meaning Representations—0
Contextual Cues in Machine Translation: Investigating the Potential of Multi-Source Input Strategies in LLMs and NMT Systems—0
Contextual Code Switching for Machine Translation using Language Models—0
Asynchronous and Segmented Bidirectional Encoding for NMT—0
A Morphologically Annotated Corpus of Emirati Arabic—0
Harnessing Transfer Learning from Swahili: Advancing Solutions for Comorian Dialects—0
Hashtag Occurrences, Layout and Translation: A Corpus-driven Analysis of Tweets Published by the Canadian Government—0
Head-Driven Hierarchical Phrase-based Translation—0
Context Sensitive Neural Lemmatization with Lematus—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