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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 5351–5400 of 10752 papers

TitleStatusHype
MUCS@ - Machine Translation for Dravidian Languages using Stacked Long Short Term Memory—0
MUCS@TechDOfication using FineTuned Vectors and n-grams—0
MulCode: A Multiplicative Multi-way Model for Compressing Neural Language Model—0
MULE: Multimodal Universal Language Embedding—0
MuLER: Detailed and Scalable Reference-based Evaluation—0
MULTI3NLU++: A Multilingual, Multi-Intent, Multi-Domain Dataset for Natural Language Understanding in Task-Oriented Dialogue—0
Multi-Agent Dual Learning—0
Multi-agent Learning for Neural Machine Translation—0
Multi-Agent Mutual Learning at Sentence-Level and Token-Level for Neural Machine Translation—0
Multi-channel Encoder for Neural Machine Translation—0
Multichannel Generative Language Models—0
Multichannel LSTM-CNN for Telugu Technical Domain Identification—0
Multichannel LSTM-CNN for Telugu Text Classification—0
MultiCoNER: A Large-scale Multilingual dataset for Complex Named Entity Recognition—0
Multi-Dialect Arabic POS Tagging: A CRF Approach—0
Multi-Dialect Machine Translation (MuDMat)—0
Multi-dialect Neural Machine Translation and Dialectometry—0
Multidimensional assessment of the eTranslation output for English–Slovene—0
Multi-Domain Adaptation for SMT Using Multi-Task Learning—0
Multi-domain Adaptation for Statistical Machine Translation Based on Feature Augmentation—0
Multi-Domain Adaptation in Neural Machine Translation with Dynamic Sampling Strategies—0
Multi-domain machine translation enhancements by parallel data extraction from comparable corpora—0
Multi-Domain Neural Machine Translation through Unsupervised Adaptation—0
Multi-Domain Neural Machine Translation—0
Multi-encoder Transformer Network for Automatic Post-Editing—0
Multi-Engine and Multi-Alignment Based Automatic Post-Editing and its Impact on Translation Productivity—0
Multi-glance Reading Model for Text Understanding—0
MultiGranCNN: An Architecture for General Matching of Text Chunks on Multiple Levels of Granularity—0
Multi-Granularity Self-Attention for Neural Machine Translation—0
Multi-Head Highly Parallelized LSTM Decoder for Neural Machine Translation—0
Multi-Hop Transformer for Document-Level Machine Translation—0
Multi-Hypothesis Machine Translation Evaluation—0
Multi-Layer Softmaxing during Training Neural Machine Translation for Flexible Decoding with Fewer Layers—0
Multi-level Evaluation for Machine Translation—0
Multi-level Translation Quality Prediction with QuEst++—0
Multilingual Agreement for Multilingual Neural Machine Translation—0
Multilingual Aliasing for Auto-Generating Proposition Banks—0
Multilingual and Cross-Lingual Intent Detection from Spoken Data—0
Multilingual Argument Mining: Datasets and Analysis—0
Multilingual CheckList: Generation and Evaluation—0
Multilingual Contextualization of Large Language Models for Document-Level Machine Translation—0
Multilingual Dictionary Based Construction of Core Vocabulary—0
Multilingual Disfluency Removal using NMT—0
Multilingual Document-Level Translation Enables Zero-Shot Transfer From Sentences to Documents—0
Multilingual Document-Level Translation Enables Zero-Shot Transfer From Sentences to Documents—0
Multilingual Domain Adaptation for NMT: Decoupling Language and Domain Information with Adapters—0
Multilingual Domain Adaptation for NMT: Decoupling Language and Domain Information with Adapters—0
Multilingual End-to-End Speech Translation—0
Multi-lingual Entity Discovery and Linking—0
Multilingual Evaluation of Semantic Textual Relatedness—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