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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 3601–3650 of 10752 papers

TitleStatusHype
Bilingual Autoencoders with Global Descriptors for Modeling Parallel Sentences—0
Examining Scaling and Transfer of Language Model Architectures for Machine Translation—0
An Improved Hierarchical Word Sequence Language Model Using Directional Information—0
Domain specialization: a post-training domain adaptation for Neural Machine Translation—0
Bilex Rx: Lexical Data Augmentation for Massively Multilingual Machine Translation—0
ExB Themis: Extensive Feature Extraction from Word Alignments for Semantic Textual Similarity—0
Domain Mismatch Doesn’t Always Prevent Cross-lingual Transfer Learning—0
Expanding Parallel Resources for Medium-Density Languages for Free—0
Expanding the JHU Bible Corpus for Machine Translation of the Indigenous Languages of North America—0
Expanding wordnets to new languages with multilingual sense disambiguation—0
Domain Mismatch Doesn't Always Prevent Cross-Lingual Transfer Learning—0
Experiences in Building the Let's MT! Portal on Amazon EC2—0
Experiences in Resource Generation for Machine Translation through Crowdsourcing—0
Experiences of Adapting Multimodal Machine Translation Techniques for Hindi—0
Experiments in Discriminating Similar Languages—0
Experiments in Medical Translation Shared Task at WMT 2014—0
Bilexical Embeddings for Quality Estimation—0
Experiments on Active Learning for Croatian Word Sense Disambiguation—0
An implementation of a Latvian resource grammar in Grammatical Framework—0
Experiments on Morphological Reinflection: CoNLL-2017 Shared Task—0
Experiments with Easy-first nonprojective constituent parsing—0
Experiments with Generative Models for Dependency Tree Linearization—0
Experiments with POS-based restructuring and alignment-based reordering for statistical machine translation—0
Experiments with Term Translation—0
Domain Informed Neural Machine Translation: Developing Translation Services for Healthcare Enterprise—0
Domain-independent Punctuation and Segmentation Insertion—0
An Imitation Learning Curriculum for Text Editing with Non-Autoregressive Models—0
Explaining and Generalizing Back-Translation through Wake-Sleep—0
A French Corpus for Semantic Similarity—0
A Corpus of Preposition Supersenses—0
Explaining Sequence-Level Knowledge Distillation as Data-Augmentation for Neural Machine Translation—0
A Case Study on Context Encoding in Multi-Encoder based Document-Level Neural Machine Translation—0
Explicit Cross-lingual Pre-training for Unsupervised Machine Translation—0
A3-108 Machine Translation System for LoResMT Shared Task @MT Summit 2021 Conference—0
Inducing Constituency Trees through Neural Machine Translation—0
Domain Adaptive Inference for Neural Machine Translation—0
Neural Machine Translation with Recurrent Highway Networks—0
Domain Curricula for Code-Switched MT at MixMT 2022—0
Domain Control for Neural Machine Translation—0
Domain and Dialect Adaptation for Machine Translation into Egyptian Arabic—0
Domain adapted machine translation: What does catastrophic forgetting forget and why?—0
Exploiting Bilingual Translation for Question Retrieval in Community-Based Question Answering—0
Exploiting Common Characters in Chinese and Japanese to Learn Cross-Lingual Word Embeddings via Matrix Factorization—0
Domain Adaptation of NMT models for English-Hindi Machine Translation Task : AdapMT Shared Task ICON 2020—0
Domain Adaptation of NMT models for English-Hindi Machine Translation Task at AdapMT ICON 2020—0
Exploiting Deep Representations for Neural Machine Translation—0
Bi-Directional Neural Machine Translation with Synthetic Parallel Data—0
Exploiting Language Models for Visual Recognition—0
Exploiting Language Relatedness in Machine Translation Through Domain Adaptation Techniques—0
Domain Adaptation of Machine Translation with Crowdworkers—0
Show:102550
← PrevPage 73 of 216Next →
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