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 6051–6100 of 10752 papers

TitleStatusHype
Neural Machine Translation of Logographic Languages Using Sub-character Level Information—0
Evaluating Syntactic Properties of Seq2seq Output with a Broad Coverage HPSG: A Case Study on Machine Translation—0
Character-Aware Decoder for Translation into Morphologically Rich Languages—0
Assessing Gender Bias in Machine Translation -- A Case Study with Google TranslateCode0
Top-down Tree Structured Decoding with Syntactic Connections for Neural Machine Translation and Parsing—0
BPE and CharCNNs for Translation of Morphology: A Cross-Lingual Comparison and Analysis—0
Accelerated Reinforcement Learning for Sentence Generation by Vocabulary PredictionCode0
Pointwise HSIC: A Linear-Time Kernelized Co-occurrence Norm for Sparse Linguistic Expressions—0
Exploring Gap Filling as a Cheaper Alternative to Reading Comprehension Questionnaires when Evaluating Machine Translation for Gisting—0
Future-Prediction-Based Model for Neural Machine Translation—0
MTNT: A Testbed for Machine Translation of Noisy TextCode0
Contextual Neural Model for Translating Bilingual Multi-Speaker ConversationsCode0
Trivial Transfer Learning for Low-Resource Neural Machine Translation—0
Towards Automated Customer SupportCode0
Simple Fusion: Return of the Language ModelCode0
A Structured Review of the Validity of BLEU—0
Feature-Based Decipherment for Machine Translation—0
Parameter Sharing Methods for Multilingual Self-Attentional Translation ModelsCode0
Survey: Anaphora With Non-nominal Antecedents in Computational Linguistics: a Survey—0
LIUM-CVC Submissions for WMT18 Multimodal Translation Task—0
Finding the Answers with Definition Models—0
Beyond Error Propagation in Neural Machine Translation: Characteristics of Language Also Matter—0
Beyond Weight Tying: Learning Joint Input-Output Embeddings for Neural Machine TranslationCode0
Ensemble Sequence Level Training for Multimodal MT: OSU-Baidu WMT18 Multimodal Machine Translation System Report—0
Gromov-Wasserstein Alignment of Word Embedding Spaces—0
Denoising Neural Machine Translation Training with Trusted Data and Online Data Selection—0
When to Finish? Optimal Beam Search for Neural Text Generation (modulo beam size)—0
The MeMAD Submission to the WMT18 Multimodal Translation Task—0
Multi-Source Syntactic Neural Machine Translation—0
Direct Output Connection for a High-Rank Language ModelCode0
Pronoun Translation in English-French Machine Translation: An Analysis of Error TypesCode0
Attaining the Unattainable? Reassessing Claims of Human Parity in Neural Machine TranslationCode0
Revisiting Character-Based Neural Machine Translation with Capacity and Compression—0
Correcting Length Bias in Neural Machine Translation—0
An Operation Sequence Model for Explainable Neural Machine TranslationCode0
Breaking the Beam Search Curse: A Study of (Re-)Scoring Methods and Stopping Criteria for Neural Machine Translation—0
Multi-Reference Training with Pseudo-References for Neural Translation and Text Generation—0
Adapting Word Embeddings to New Languages with Morphological and Phonological Subword RepresentationsCode0
A Tree-based Decoder for Neural Machine TranslationCode0
Understanding Back-Translation at ScaleCode0
The University of Cambridge's Machine Translation Systems for WMT18—0
Why Self-Attention? A Targeted Evaluation of Neural Machine Translation Architectures—0
Back-Translation Sampling by Targeting Difficult Words in Neural Machine Translation—0
A Study of Reinforcement Learning for Neural Machine TranslationCode0
Large Margin Neural Language Model—0
Accelerating Asynchronous Stochastic Gradient Descent for Neural Machine Translation—0
Smoothed Dilated Convolutions for Improved Dense PredictionCode0
Semi-Autoregressive Neural Machine TranslationCode0
Contextual Parameter Generation for Universal Neural Machine TranslationCode0
Paraphrases as Foreign Languages in Multilingual Neural Machine Translation—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