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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 4701–4750 of 10752 papers

TitleStatusHype
Improve Variational Autoencoder for Text Generationwith Discrete Latent Bottleneck—0
When and Why is Unsupervised Neural Machine Translation Useless?—0
Learnings from Technological Interventions in a Low Resource Language: A Case-Study on Gondi—0
Knowledge Distillation for Multilingual Unsupervised Neural Machine Translation—0
ESPnet-ST: All-in-One Speech Translation Toolkit—0
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
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
Building a Multi-domain Neural Machine Translation Model using Knowledge Distillation—0
Speech Translation and the End-to-End Promise: Taking Stock of Where We Are—0
Multilingual Machine Translation: Closing the Gap between Shared and Language-specific Encoder-Decoders—0
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
An In-depth Walkthrough on Evolution of Neural Machine Translation—0
Style-transfer and Paraphrase: Looking for a Sensible Semantic Similarity Metric—0
Scalable Multilingual Frontend for TTS—0
Self-Training for Unsupervised Neural Machine Translation in Unbalanced Training Data Scenarios—0
On Optimal Transformer Depth for Low-Resource Language TranslationCode0
Learning to Scale Multilingual Representations for Vision-Language Tasks—0
Translation Artifacts in Cross-lingual Transfer LearningCode0
Transfer learning and subword sampling for asymmetric-resource one-to-many neural translationCode0
Explicit Reordering for Neural Machine Translation—0
Cross-lingual Emotion Intensity PredictionCode0
Salience Estimation with Multi-Attention Learning for Abstractive Text Summarization—0
Multilingual enrichment of disease biomedical ontologiesCode0
Re-translation versus Streaming for Simultaneous Translation—0
Improving Fluency of Non-Autoregressive Machine Translation—0
Machine Translation with Unsupervised Length-Constraints—0
Dynamic Data Selection and Weighting for Iterative Back-TranslationCode0
Self-Induced Curriculum Learning in Self-Supervised Neural Machine Translation—0
Towards Multimodal Simultaneous Neural Machine TranslationCode0
Cross-lingual Supervision Improves Unsupervised Neural Machine Translation—0
Applying Cyclical Learning Rate to Neural Machine Translation—0
Dictionary-based Data Augmentation for Cross-Domain Neural Machine Translation—0
Meta-Learning for Few-Shot NMT Adaptation—0
Bootstrapping a Crosslingual Semantic ParserCode0
Reference Language based Unsupervised Neural Machine TranslationCode0
Machine Translation Pre-training for Data-to-Text Generation -- A Case Study in Czech—0
Detecting and Understanding Generalization Barriers for Neural Machine Translation—0
AR: Auto-Repair the Synthetic Data for Neural Machine Translation—0
Incorporating Bilingual Dictionaries for Low Resource Semi-Supervised Neural Machine Translation—0
Finding the Optimal Vocabulary Size for Neural Machine TranslationCode0
Understanding Learning Dynamics for Neural Machine Translation—0
Recognizing Long Grammatical Sequences Using Recurrent Networks Augmented With An External Differentiable Stack—0
A Set of Recommendations for Assessing Human-Machine Parity in Language TranslationCode0
Learning synchronous context-free grammars with multiple specialised non-terminals for hierarchical phrase-based translation—0
Igbo-English Machine Translation: An Evaluation Benchmark—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