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
Word Sense Disambiguation Based on Word Similarity Calculation Using Word Vector Representation from a Knowledge-based GraphCode0
Veyn at PARSEME Shared Task 2018: Recurrent Neural Networks for VMWE IdentificationCode0
Towards an Automatic Classification of Illustrative Examples in a Large Japanese-French Dictionary Obtained by OCR0
The Other Side of the Coin: Unsupervised Disambiguation of Potentially Idiomatic Expressions by Contrasting Senses0
Effective Parallel Corpus Mining using Bilingual Sentence Embeddings0
Doubly Attentive Transformer Machine Translation0
Active Learning for Interactive Neural Machine Translation of Data Streams0
Training Neural Machine Translation using Word Embedding-based Loss0
NMT-based Cross-lingual Document Embeddings0
Back-Translation-Style Data Augmentation for End-to-End ASR0
Auto-Encoding Variational Neural Machine TranslationCode0
Finding Better Subword Segmentation for Neural Machine TranslationCode0
"Bilingual Expert" Can Find Translation ErrorsCode0
Otem&Utem: Over- and Under-Translation Evaluation Metric for NMTCode0
Cross-lingual Argumentation Mining: Machine Translation (and a bit of Projection) is All You Need!Code0
Inductive Visual Localisation: Factorised Training for Superior Generalisation0
A Hand-Held Multimedia Translation and Interpretation System with Application to Diet Management0
Generating Synthetic Data for Neural Keyword-to-Question Models0
Recurrent Stacking of Layers for Compact Neural Machine Translation Models0
Linear Transformations for Cross-lingual Semantic Textual Similarity0
Latent Alignment and Variational AttentionCode0
Universal TransformersCode0
NMT-Keras: a Very Flexible Toolkit with a Focus on Interactive NMT and Online Learning0
Learning The Sequential Temporal Information with Recurrent Neural Networks0
Testing Untestable Neural Machine Translation: An Industrial Case0
A Concept Specification and Abstraction-based Semantic Representation: Addressing the Barriers to Rule-based Machine Translation0
Natural Language Processing for Information ExtractionCode0
Diversity in Machine Learning0
A Neural Approach to Language Variety Translation0
Learning to Control the Specificity in Neural Response Generation0
Subword-level Word Vector Representations for KoreanCode0
NICT Self-Training Approach to Neural Machine Translation at NMT-20180
Named-Entity Tagging and Domain adaptation for Better Customized Translation0
Hierarchical Convolutional Attention Networks for Text Classification0
Illustrative Language Understanding: Large-Scale Visual Grounding with Image Search0
Learning Simplifications for Specific Target Audiences0
Low-Resource Machine Transliteration Using Recurrent Neural Networks of Asian Languages0
Syntax for Semantic Role Labeling, To Be, Or Not To BeCode0
AX Semantics' Submission to the Surface Realization Shared Task 20180
Semi-Supervised Learning with Auxiliary Evaluation Component for Large Scale e-Commerce Text Classification0
Report of NEWS 2018 Named Entity Transliteration Shared Task0
Language Informed Modeling of Code-Switched Text0
NEWS 2018 Whitepaper0
Extractive Summarization with SWAP-NET: Sentences and Words from Alternating Pointer NetworksCode0
Integrating Multiple NLP Technologies into an Open-source Platform for Multilingual Media Monitoring0
SuperNMT: Neural Machine Translation with Semantic Supersenses and Syntactic Supertags0
Texar: A Modularized, Versatile, and Extensible Toolbox for Text Generation0
Proceedings of the 2nd Workshop on Neural Machine Translation and Generation0
Language Identification and Analysis of Code-Switched Social Media Text0
Fine-Grained Discourse Structures in Continuation Semantics0
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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