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 5101–5150 of 10752 papers

TitleStatusHype
Distilled embedding: non-linear embedding factorization using knowledge distillation—0
Lossless Data Compression with Transformer—0
Question Answering is a Format; When is it Useful?—0
Multichannel Generative Language Models—0
Breaking the Data Barrier: Towards Robust Speech Translation via Adversarial Stability Training—0
Linguistic Embeddings as a Common-Sense Knowledge Repository: Challenges and Opportunities—0
PNAT: Non-autoregressive Transformer by Position Learning—0
Context Based Machine Translation With Recurrent Neural Network For English-Amharic Translation—0
Sparse Transformer: Concentrated Attention Through Explicit Selection—0
Putting Machine Translation in Context with the Noisy Channel Model—0
In Conclusion Not Repetition: Comprehensive Abstractive Summarization With Diversified Attention Based On Determinantal Point ProcessesCode0
Efficiently Reusing Old Models Across Languages via Transfer Learning—0
Data Ordering Patterns for Neural Machine Translation: An Empirical Study—0
Inducing Constituency Trees through Neural Machine Translation—0
Towards Interpreting Recurrent Neural Networks through Probabilistic AbstractionCode0
Self-attention based end-to-end Hindi-English Neural Machine Translation—0
Creative GANs for generating poems, lyrics, and metaphorsCode0
Pivot-based Transfer Learning for Neural Machine Translation between Non-English Languages—0
Improved Variational Neural Machine Translation by Promoting Mutual Information—0
Memory-Augmented Neural Networks for Machine TranslationCode0
Simple, Scalable Adaptation for Neural Machine Translation—0
Pointer-based Fusion of Bilingual Lexicons into Neural Machine TranslationCode0
Multilingual Neural Machine Translation for Zero-Resource LanguagesCode0
Automatically Extracting Challenge Sets for Non local Phenomena in Neural Machine TranslationCode0
A simple discriminative training method for machine translation with large-scale features—0
Hint-Based Training for Non-Autoregressive Machine TranslationCode0
Harnessing Indirect Training Data for End-to-End Automatic Speech Translation: Tricks of the Trade—0
A Universal Parent Model for Low-Resource Neural Machine Translation Transfer—0
Beyond BLEU: Training Neural Machine Translation with Semantic SimilarityCode0
Adaptive Scheduling for Multi-Task Learning—0
SANVis: Visual Analytics for Understanding Self-Attention Networks—0
A Comparative Study on Transformer vs RNN in Speech ApplicationsCode0
Neural Machine Translation with 4-Bit Precision and Beyond—0
VizSeq: A Visual Analysis Toolkit for Text Generation TasksCode0
Dynamic Fusion: Attentional Language Model for Neural Machine Translation—0
Getting Gender Right in Neural Machine Translation—0
Self-Attentional Models Application in Task-Oriented Dialogue Generation Systems—0
Combining SMT and NMT Back-Translated Data for Efficient NMT—0
MULE: Multimodal Universal Language Embedding—0
Neural Machine Translation with Byte-Level SubwordsCode0
Self Learning from Large Scale Code Corpus to Infer Structure of Method Invocations—0
Enhancing Machine Translation with Dependency-Aware Self-AttentionCode0
Accelerating Transformer Decoding via a Hybrid of Self-attention and Recurrent Neural Network—0
Source Dependency-Aware Transformer with Supervised Self-Attention—0
Multi-Granularity Self-Attention for Neural Machine Translation—0
MoverScore: Text Generation Evaluating with Contextualized Embeddings and Earth Mover DistanceCode0
Investigating Multilingual NMT Representations at Scale—0
Problems with automating translation of movie/TV show subtitles—0
SAO WMT19 Test Suite: Machine Translation of Audit ReportsCode0
Jointly Learning to Align and Translate with Transformer Models—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