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 62016250 of 10752 papers

TitleStatusHype
Learning Distributional Token Representations from Visual Features0
Multi-glance Reading Model for Text Understanding0
Language Production Dynamics with Recurrent Neural Networks0
Language Informed Modeling of Code-Switched Text0
Language Identification and Analysis of Code-Switched Social Media Text0
Statistical Machine Transliteration Baselines for NEWS 20180
Joint Part-of-Speech and Language ID Tagging for Code-Switched Data0
Iterative Back-Translation for Neural Machine Translation0
Neural Machine Translation Techniques for Named Entity TransliterationCode0
Multimodal Neural Machine Translation for Low-resource Language Pairs using Synthetic Data0
Integrating Multiple NLP Technologies into an Open-source Platform for Multilingual Media Monitoring0
OpenSeq2Seq: Extensible Toolkit for Distributed and Mixed Precision Training of Sequence-to-Sequence Models0
Recognizing Emotions in Video Using Multimodal DNN Feature Fusion0
A Deep Learning Based Approach to Transliteration0
NEWS 2018 Whitepaper0
Hierarchical Convolutional Attention Networks for Text Classification0
Named-Entity Tagging and Domain adaptation for Better Customized Translation0
Adaptive Knowledge Sharing in Multi-Task Learning: Improving Low-Resource Neural Machine Translation0
A Simple and Effective Approach to Coverage-Aware Neural Machine Translation0
Forest-Based Neural Machine Translation0
What you can cram into a single \$\&!\#* vector: Probing sentence embeddings for linguistic properties0
Pushing the Limits of Radiology with Joint Modeling of Visual and Textual Information0
Are BLEU and Meaning Representation in Opposition?0
Extractive Summarization with SWAP-NET: Sentences and Words from Alternating Pointer NetworksCode0
Moon IME: Neural-based Chinese Pinyin Aided Input Method with Customizable Association0
Exploring Semantic Properties of Sentence Embeddings0
Multi-lingual Entity Discovery and Linking0
Neural Semantic Parsing0
The Influence of Context on Sentence Acceptability JudgementsCode0
Split and Rephrase: Better Evaluation and Stronger BaselinesCode0
Orthographic Features for Bilingual Lexicon Induction0
Out-of-the-box Universal Romanization Tool uroman0
Mining Cross-Cultural Differences and Similarities in Social Media0
Word Embedding and WordNet Based Metaphor Identification and Interpretation0
SuperNMT: Neural Machine Translation with Semantic Supersenses and Syntactic Supertags0
Prefix Lexicalization of Synchronous CFGs using Synchronous TAG0
LSTMs Can Learn Syntax-Sensitive Dependencies Well, But Modeling Structure Makes Them Better0
A Neural Approach to Pun Generation0
Leveraging distributed representations and lexico-syntactic fixedness for token-level prediction of the idiomaticity of English verb-noun combinations0
Learning Translations via Images with a Massively Multilingual Image Dataset0
Learning to Control the Specificity in Neural Response Generation0
Learning Simplifications for Specific Target Audiences0
An Empirical Study of Building a Strong Baseline for Constituency ParsingCode0
Automatic Spelling Correction for Resource-Scarce Languages using Deep Learning0
Subword-level Word Vector Representations for KoreanCode0
Neural Hidden Markov Model for Machine Translation0
Judicious Selection of Training Data in Assisting Language for Multilingual Neural NERCode0
A Distributional and Orthographic Aggregation Model for English Derivational MorphologyCode0
Isomorphic Transfer of Syntactic Structures in Cross-Lingual NLP0
Variational Inference and Deep Generative Models0
Show:102550
← PrevPage 125 of 216Next →

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