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 4501–4550 of 10752 papers

TitleStatusHype
Heterogeneous Graph Transformer for Graph-to-Sequence Learning—0
Zero-shot North Korean to English Neural Machine Translation by Character Tokenization and Phoneme Decomposition—0
Training and Inference Methods for High-Coverage Neural Machine Translation—0
Compressing Neural Machine Translation Models with 4-bit Precision—0
Compositional Generalization by Factorizing Alignment and Translation—0
SIGMORPHON 2020 Task 0 System Description: ETH Z\"urich Team—0
Generating Medical Reports from Patient-Doctor Conversations Using Sequence-to-Sequence Models—0
Generating Fluent Translations from Disfluent Text Without Access to Fluent References: IIT Bombay@IWSLT2020—0
Generating Diverse Translations via Weighted Fine-tuning and Hypotheses Filtering for the Duolingo STAPLE Task—0
Towards Mitigating Gender Bias in a decoder-based Neural Machine Translation model by Adding Contextual Information—0
GShard: Scaling Giant Models with Conditional Computation and Automatic ShardingCode0
An EM Approach to Non-autoregressive Conditional Sequence GenerationCode0
Measuring Memorization Effect in Word-Level Neural Networks Probing—0
Self-Attention Networks for Intent Detection—0
Learning Source Phrase Representations for Neural Machine Translation—0
Recurrent Quantum Neural NetworksCode0
Modeling Baroque Two-Part Counterpoint with Neural Machine TranslationCode0
THEaiTRE: Artificial Intelligence to Write a Theatre Play—0
Neural Machine Translation For Paraphrase Generation—0
Neural Machine Translation for Multilingual Grapheme-to-Phoneme Conversion—0
Differentiable Window for Dynamic Local Attention—0
Keyframe Segmentation and Positional Encoding for Video-guided Machine Translation Challenge 2020—0
NLPContributions: An Annotation Scheme for Machine Reading of Scholarly Contributions in Natural Language Processing LiteratureCode0
Exploiting Non-Taxonomic Relations for Measuring Semantic Similarity and Relatedness in WordNet—0
AdvAug: Robust Adversarial Augmentation for Neural Machine Translation—0
MaxVA: Fast Adaptation of Step Sizes by Maximizing Observed Variance of GradientsCode0
Memory TransformerCode0
Learning aligned embeddings for semi-supervised word translation using Maximum Mean Discrepancy—0
End-to-End Code Switching Language Models for Automatic Speech Recognition—0
On the Computational Power of Transformers and its Implications in Sequence ModelingCode0
Cross-lingual Retrieval for Iterative Self-Supervised TrainingCode0
Scalable Cross Lingual Pivots to Model Pronoun Gender for Translation—0
Fine-grained Human Evaluation of Transformer and Recurrent Approaches to Neural Machine Translation for English-to-ChineseCode0
Video Understanding as Machine Translation—0
Traffic transformer: Capturing the continuity and periodicity of time series for traffic forecasting—0
Gender in Danger? Evaluating Speech Translation Technology on the MuST-SHE CorpusCode0
Improving Cross-Lingual Transfer Learning for End-to-End Speech Recognition with Speech Translation—0
Universal Vector Neural Machine Translation With Effective Attention—0
An Augmented Translation Technique for low Resource language pair: Sanskrit to Hindi translation—0
HausaMT v1.0: Towards English-Hausa Neural Machine Translation—0
Modeling Discourse Structure for Document-level Neural Machine Translation—0
Wat zei je? Detecting Out-of-Distribution Translations with Variational Transformers—0
What's the Difference Between Professional Human and Machine Translation? A Blind Multi-language Study on Domain-specific MT—0
NITS-VC System for VATEX Video Captioning Challenge 2020—0
Growing Together: Modeling Human Language Learning With n-Best Multi-Checkpoint Machine Translation—0
Filtered Inner Product Projection for Crosslingual Embedding Alignment—0
Enhanced back-translation for low resource neural machine translation using self-training—0
A Structural Transformer with Relative Positions in Trees for Code-to-Sequence Tasks—0
Cross-model Back-translated Distillation for Unsupervised Machine TranslationCode0
Fixed-Point Back-Propagation Training—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