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 4551–4600 of 10752 papers

TitleStatusHype
Knowledge Distillation for Multilingual Unsupervised Neural Machine Translation—0
Learnings from Technological Interventions in a Low Resource Language: A Case-Study on Gondi—0
Attention is Not Only a Weight: Analyzing Transformers with Vector NormsCode1
Contextual Neural Machine Translation Improves Translation of Cataphoric PronounsCode0
PHINC: A Parallel Hinglish Social Media Code-Mixed Corpus for Machine Translation—0
Neural Machine Translation for Low-Resourced Indian LanguagesCode0
SimAlign: High Quality Word Alignments without Parallel Training Data using Static and Contextualized EmbeddingsCode1
CWY Parametrization: a Solution for Parallelized Optimization of Orthogonal and Stiefel Matrices—0
Enriching the Transformer with Linguistic Factors for Low-Resource Machine Translation—0
Understanding the Difficulty of Training TransformersCode1
Non-Autoregressive Machine Translation with Latent AlignmentsCode1
Building a Multi-domain Neural Machine Translation Model using Knowledge Distillation—0
Transformer based Grapheme-to-Phoneme ConversionCode1
Speech Translation and the End-to-End Promise: Taking Stock of Where We Are—0
Balancing Training for Multilingual Neural Machine TranslationCode1
Multilingual Machine Translation: Closing the Gap between Shared and Language-specific Encoder-Decoders—0
Neural Machine Translation: Challenges, Progress and FutureCode1
BLEU might be Guilty but References are not InnocentCode1
Reinforced Curriculum Learning on Pre-trained Neural Machine Translation Models—0
When Does Unsupervised Machine Translation Work?—0
LAReQA: Language-agnostic answer retrieval from a multilingual poolCode0
Style-transfer and Paraphrase: Looking for a Sensible Semantic Similarity Metric—0
An In-depth Walkthrough on Evolution of Neural Machine Translation—0
Scalable Multilingual Frontend for TTS—0
On Optimal Transformer Depth for Low-Resource Language TranslationCode0
Learning to Scale Multilingual Representations for Vision-Language Tasks—0
Self-Training for Unsupervised Neural Machine Translation in Unbalanced Training Data Scenarios—0
Reducing Gender Bias in Neural Machine Translation as a Domain Adaptation ProblemCode1
Translation Artifacts in Cross-lingual Transfer LearningCode0
Explicit Reordering for Neural Machine Translation—0
Cross-lingual Emotion Intensity PredictionCode0
Transfer learning and subword sampling for asymmetric-resource one-to-many neural translationCode0
Graph-to-Tree Neural Networks for Learning Structured Input-Output Translation with Applications to Semantic Parsing and Math Word ProblemCode1
Cross-lingual Supervision Improves Unsupervised Neural Machine Translation—0
Re-translation versus Streaming for Simultaneous Translation—0
Dynamic Data Selection and Weighting for Iterative Back-TranslationCode0
Towards Multimodal Simultaneous Neural Machine TranslationCode0
Self-Induced Curriculum Learning in Self-Supervised Neural Machine Translation—0
Machine Translation with Unsupervised Length-Constraints—0
Multilingual enrichment of disease biomedical ontologiesCode0
Improving Fluency of Non-Autoregressive Machine Translation—0
Salience Estimation with Multi-Attention Learning for Abstractive Text Summarization—0
Applying Cyclical Learning Rate to Neural Machine Translation—0
Bootstrapping a Crosslingual Semantic ParserCode0
Dictionary-based Data Augmentation for Cross-Domain Neural Machine Translation—0
Meta-Learning for Few-Shot NMT Adaptation—0
AR: Auto-Repair the Synthetic Data for Neural Machine Translation—0
Unsupervised Domain Clusters in Pretrained Language ModelsCode1
Incorporating Bilingual Dictionaries for Low Resource Semi-Supervised Neural Machine Translation—0
Reference Language based Unsupervised Neural Machine TranslationCode0
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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