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 71517200 of 10752 papers

TitleStatusHype
Deep Architectures for Neural Machine TranslationCode1
Reinforcement Learning for Bandit Neural Machine Translation with Simulated Human FeedbackCode0
SGNMT -- A Flexible NMT Decoding Platform for Quick Prototyping of New Models and Search StrategiesCode0
Split and RephraseCode0
Modeling Target-Side Inflection in Neural Machine Translation0
Improved Neural Machine Translation with a Syntax-Aware Encoder and DecoderCode0
Top-Rank Enhanced Listwise Optimization for Statistical Machine Translation0
Story Generation from Sequence of Independent Short Descriptions0
Artificial Error Generation with Machine Translation and Syntactic Patterns0
Towards Bidirectional Hierarchical Representations for Attention-Based Neural Machine Translation0
LIUM Machine Translation Systems for WMT17 News Translation TaskCode0
LIUM-CVC Submissions for WMT17 Multimodal Translation Task0
Neural Machine Translation between Herbal Prescriptions and Diseases0
A parallel corpus of Python functions and documentation strings for automated code documentation and code generationCode1
A Nested Attention Neural Hybrid Model for Grammatical Error Correction0
Single-Queue Decoding for Neural Machine TranslationCode0
An Embedded Deep Learning based Word PredictionCode0
Cross-Lingual Sentiment Analysis Without (Good) Translation0
An empirical study on the effectiveness of images in Multimodal Neural Machine Translation0
Visually Grounded Word Embeddings and Richer Visual Features for Improving Multimodal Neural Machine Translation0
Dual Supervised Learning0
(Re)introducing Regular Graph Languages0
Latent-Variable PCFGs: Background and Applications0
Feature Hashing for Language and Dialect Identification0
Sentence Embedding for Neural Machine Translation Domain Adaptation0
EuroSense: Automatic Harvesting of Multilingual Sense Annotations from Parallel Text0
Building a Non-Trivial Paraphrase Corpus Using Multiple Machine Translation SystemsCode0
End-to-End Non-Factoid Question Answering with an Interactive Visualization of Neural Attention Weights0
Efficient Extraction of Pseudo-Parallel Sentences from Raw Monolingual Data Using Word Embeddings0
A Generative Attentional Neural Network Model for Dialogue Act Classification0
Bilingual Word Embeddings with Bucketed CNN for Parallel Sentence Extraction0
Modeling Situations in Neural Chat Bots0
Beyond Words: Deep Learning for Multiword Expressions and Collocations0
Discourse Annotation of Non-native Spontaneous Spoken Responses Using the Rhetorical Structure Theory Framework0
UCCAApp: Web-application for Syntactic and Semantic Phrase-based Annotation0
An Empirical Comparison of Domain Adaptation Methods for Neural Machine Translation0
Improving Implicit Discourse Relation Recognition with Discourse-specific Word Embeddings0
Speeding Up Neural Machine Translation Decoding by Shrinking Run-time Vocabulary0
Sentence Alignment Methods for Improving Text Simplification Systems0
Chunk-based Decoder for Neural Machine Translation0
Exploring Neural Text Simplification ModelsCode0
A Progressive Learning Approach to Chinese SRL Using Heterogeneous Data0
CANE: Context-Aware Network Embedding for Relation ModelingCode0
Evaluating Compound Splitters Extrinsically with Textual Entailment0
Neural Architectures for Multilingual Semantic Parsing0
Learning bilingual word embeddings with (almost) no bilingual data0
Learning attention for historical text normalization by learning to pronounce0
Visualizing and Understanding Neural Machine Translation0
Abstractive Document Summarization with a Graph-Based Attentional Neural Model0
Sequence-to-Dependency Neural Machine Translation0
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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