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 77517800 of 10752 papers

TitleStatusHype
Which Words Matter in Defining Phrase Reordering Behavior in Statistical Machine Translation?0
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine TranslationCode0
Large-Scale Machine Translation between Arabic and Hebrew: Available Corpora and Initial Results0
Lattice-Based Recurrent Neural Network Encoders for Neural Machine Translation0
One Sentence One Model for Neural Machine Translation0
Factored Neural Machine Translation0
Neural Machine Translation with Supervised Attention0
Multimodal Attention for Neural Machine Translation0
Morphological Constraints for Phrase Pivot Statistical Machine Translation0
Unsupervised Identification of Translationese0
Learning Lexical Entries for Robotic Commands using Crowdsourcing0
Bi-Text Alignment of Movie Subtitles for Spoken English-Arabic Statistical Machine Translation0
Processing Document Collections to Automatically Extract Linked Data: Semantic Storytelling Technologies for Smart Curation Workflows0
A Wizard-of-Oz Study on A Non-Task-Oriented Dialog Systems That Reacts to User Engagement0
Language Portability for Dialogue Systems: Translating a Question-Answering System from English into Tamil0
Reward Augmented Maximum Likelihood for Neural Structured Prediction0
Do Characters Abuse More Than Words?0
Strategy and Policy Learning for Non-Task-Oriented Conversational Systems0
The aNALoGuE Challenge: Non Aligned Language GEneration0
Abstractive Compression of Captions with Attentive Recurrent Neural Networks0
Generating sets of related sentences from input seed features0
Generating English from Abstract Meaning Representations0
Context Gates for Neural Machine TranslationCode0
Learning to Start for Sequence to Sequence Architecture0
Neural versus Phrase-Based Machine Translation Quality: a Case Study0
An Efficient Character-Level Neural Machine TranslationCode0
Faster Training of Very Deep Networks Via p-Norm Gates0
Temporal Attention Model for Neural Machine Translation0
Resolving Out-of-Vocabulary Words with Bilingual Embeddings in Machine Translation0
Winograd Schemas and Machine Translation0
To Swap or Not to Swap? Exploiting Dependency Word Pairs for Reordering in Statistical Machine Translation0
Learning Online Alignments with Continuous Rewards Policy Gradient0
Proceedings of the First Conference on Machine Translation: Volume 1, Research Papers0
News Citation Recommendation with Implicit and Explicit Semantics0
Report of NEWS 2016 Machine Transliteration Shared Task0
Cross-Lingual Pronoun Prediction with Deep Recurrent Neural Networks0
N-gram language models for massively parallel devices0
DCU-UvA Multimodal MT System Report0
Character-based Neural Machine Translation0
T\"UB\.ITAK SMT System Submission for WMT20160
Substring-based unsupervised transliteration with phonetic and contextual knowledge0
Combining Phonology and Morphology for the Normalization of Historical Texts0
Cross-Lingual Sentiment Classification with Bilingual Document Representation Learning0
OPT: Oslo--Potsdam--Teesside. Pipelining Rules, Rankers, and Classifier Ensembles for Shallow Discourse Parsing0
Models and Inference for Prefix-Constrained Machine Translation0
Sequence-based Structured Prediction for Semantic Parsing0
Data Selection for IT Texts using Paragraph Vector0
Idiom Token Classification using Sentential Distributed Semantics0
Cross-lingual Pronoun Prediction with Linguistically Informed Features0
CUNI-LMU Submissions in WMT2016: Chimera Constrained and Beaten0
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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