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

Showing 72517300 of 10752 papers

TitleStatusHype
Six Challenges for Neural Machine Translation0
Attention-based Vocabulary Selection for NMT Decoding0
Online Learning for Neural Machine Translation Post-editing0
Depthwise Separable Convolutions for Neural Machine TranslationCode0
Acquisition of Translation Lexicons for Historically Unwritten Languages via Bridging Loanwords0
Retrosynthetic reaction prediction using neural sequence-to-sequence modelsCode0
Learning Paraphrastic Sentence Embeddings from Back-Translated Bitext0
MobiRNN: Efficient Recurrent Neural Network Execution on Mobile GPUCode0
NMTPY: A Flexible Toolkit for Advanced Neural Machine Translation Systems0
Adaptation incr\'ementale de mod\`eles de traduction neuronaux (Incremental adaptation of neural machine translation models)0
Machine Translation of Speech-Like Texts: Strategies for the Inclusion of Context0
A Comprehensive Analysis of Bilingual Lexicon Induction0
Learning When to Attend for Neural Machine Translation0
Style Transfer from Non-Parallel Text by Cross-AlignmentCode0
Fast-Slow Recurrent Neural NetworksCode0
Local Monotonic Attention Mechanism for End-to-End Speech and Language Processing0
A Regularized Framework for Sparse and Structured Neural AttentionCode0
SmartPaste: Learning to Adapt Source Code0
Spelling Correction as a Foreign Language0
Search Engine Guided Non-Parametric Neural Machine Translation0
Softmax Q-Distribution Estimation for Structured Prediction: A Theoretical Interpretation for RAML0
Learning a bidirectional mapping between human whole-body motion and natural language using deep recurrent neural networks0
Sharp Models on Dull Hardware: Fast and Accurate Neural Machine Translation Decoding on the CPUCode0
Chunk-Based Bi-Scale Decoder for Neural Machine TranslationCode0
Deep Neural Machine Translation with Linear Associative Unit0
STAIR Captions: Constructing a Large-Scale Japanese Image Caption DatasetCode0
Modeling Source Syntax for Neural Machine Translation0
A Teacher-Student Framework for Zero-Resource Neural Machine Translation0
Cross-lingual Learning of Semantic Textual Similarity with Multilingual Word Representations0
Labelled network subgraphs reveal stylistic subtleties in written texts0
Comparing Rule-based and SMT-based Spelling Normalisation for English Historical Texts0
Mainstreaming August Strindberg with Text Normalization0
Normalizing Medieval German Texts: from rules to deep learning0
Machine translation with North Saami as a pivot language0
The Effect of Translationese on Tuning for Statistical Machine Translation0
Joint UD Parsing of Norwegian Bokm and NynorskCode0
North-S\'ami to Finnish rule-based machine translation system0
Improving Optical Character Recognition of Finnish Historical Newspapers with a Combination of Fraktur \& Antiqua Models and Image Preprocessing0
Tilde MODEL - Multilingual Open Data for EU Languages0
A GRU-Gated Attention Model for Neural Machine Translation0
Diversity driven Attention Model for Query-based Abstractive SummarizationCode0
A Challenge Set Approach to Evaluating Machine Translation0
Lexically Constrained Decoding for Sequence Generation Using Grid Beam SearchCode0
Differentiable Scheduled Sampling for Credit Assignment0
Neural Machine Translation via Binary Code Prediction0
Learning to Skim TextCode0
Translating NeuraleseCode0
Sarcasm SIGN: Interpreting Sarcasm with Sentiment Based Monolingual Machine TranslationCode0
Bandit Structured Prediction for Neural Sequence-to-Sequence LearningCode0
A Semantic QA-Based Approach for Text Summarization Evaluation0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Transformer Cycle (Rev)BLEU score35.14Unverified
2Noisy back-translationBLEU score35Unverified
3Transformer+Rep(Uni)BLEU score33.89Unverified
4T5-11BBLEU score32.1Unverified
5BiBERTBLEU score31.26Unverified
6Transformer + R-DropBLEU score30.91Unverified
7Bi-SimCutBLEU score30.78Unverified
8BERT-fused NMTBLEU score30.75Unverified
9Data Diversification - TransformerBLEU score30.7Unverified
10SimCutBLEU score30.56Unverified
#ModelMetricClaimedVerifiedStatus
1Transformer+BT (ADMIN init)BLEU score46.4Unverified
2Noisy back-translationBLEU score45.6Unverified
3mRASP+Fine-TuneBLEU score44.3Unverified
4Transformer + R-DropBLEU score43.95Unverified
5Transformer (ADMIN init)BLEU score43.8Unverified
6AdminBLEU score43.8Unverified
7BERT-fused NMTBLEU score43.78Unverified
8MUSE(Paralllel Multi-scale Attention)BLEU score43.5Unverified
9T5BLEU score43.4Unverified
10Local Joint Self-attentionBLEU score43.3Unverified
#ModelMetricClaimedVerifiedStatus
1PiNMTBLEU score40.43Unverified
2BiBERTBLEU score38.61Unverified
3Bi-SimCutBLEU score38.37Unverified
4Cutoff + Relaxed Attention + LMBLEU score37.96Unverified
5DRDABLEU score37.95Unverified
6Transformer + R-Drop + CutoffBLEU score37.9Unverified
7SimCutBLEU score37.81Unverified
8Cutoff+KneeBLEU score37.78Unverified
9CutoffBLEU score37.6Unverified
10CipherDAugBLEU score37.53Unverified
#ModelMetricClaimedVerifiedStatus
1HWTSC-Teacher-SimScore19.97Unverified
2MS-COMET-22Score19.89Unverified
3MS-COMET-QE-22Score19.76Unverified
4KG-BERTScoreScore17.28Unverified
5metricx_xl_DA_2019Score17.17Unverified
6COMET-QEScore16.8Unverified
7COMET-22Score16.31Unverified
8UniTE-srcScore15.68Unverified
9UniTE-refScore15.38Unverified
10metricx_xxl_DA_2019Score15.24Unverified