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

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Showing 7151–7200 of 10752 papers

TitleStatusHype
Initial Explorations of CCG Supertagging for Universal Dependency Parsing—0
MITRE at SemEval-2017 Task 1: Simple Semantic Similarity—0
LIM-LIG at SemEval-2017 Task1: Enhancing the Semantic Similarity for Arabic Sentences with Vectors Weighting—0
BUCC 2017 Shared Task: a First Attempt Toward a Deep Learning Framework for Identifying Parallel Sentences in Comparable Corpora—0
Neural Sequence-to-sequence Learning of Internal Word Structure—0
SemEval-2017 Task 2: Multilingual and Cross-lingual Semantic Word Similarity—0
Sheffield at SemEval-2017 Task 9: Transition-based language generation from AMR.—0
ECNU at SemEval-2017 Task 1: Leverage Kernel-based Traditional NLP features and Neural Networks to Build a Universal Model for Multilingual and Cross-lingual Semantic Textual Similarity—0
Detecting Untranslated Content for Neural Machine Translation—0
BUCC2017: A Hybrid Approach for Identifying Parallel Sentences in Comparable Corpora—0
Neural Optimizer Search using Reinforcement Learning—0
UParse: the Edinburgh system for the CoNLL 2017 UD shared task—0
Toward a Comparable Corpus of Latvian, Russian and English Tweets—0
Ways of Asking and Replying in Duplicate Question Detection—0
UWAV at SemEval-2017 Task 7: Automated feature-based system for locating puns—0
Weighted Set-Theoretic Alignment of Comparable Sentences—0
UMDeep at SemEval-2017 Task 1: End-to-End Shared Weight LSTM Model for Semantic Textual Similarity—0
zNLP: Identifying Parallel Sentences in Chinese-English Comparable Corpora—0
Users and Data: The Two Neglected Children of Bilingual Natural Language Processing Research—0
Regularization techniques for fine-tuning in neural machine translation—0
Linguistically Motivated Vocabulary Reduction for Neural Machine Translation from Turkish to English—0
Learning Language Representations for Typology PredictionCode0
Curriculum Learning and Minibatch Bucketing in Neural Machine Translation—0
Counterfactual Learning from Bandit Feedback under Deterministic Logging: A Case Study in Statistical Machine Translation—0
A Shared Task on Bandit Learning for Machine Translation—0
Adapting Sequence Models for Sentence CorrectionCode0
Guiding Reinforcement Learning Exploration Using Natural Language—0
Machine Translation at Booking.com: Journey and Lessons Learned—0
Reinforcement Learning for Bandit Neural Machine Translation with Simulated Human FeedbackCode0
Split and RephraseCode0
SGNMT -- A Flexible NMT Decoding Platform for Quick Prototyping of New Models and Search StrategiesCode0
Modeling Target-Side Inflection in Neural Machine Translation—0
Improved Neural Machine Translation with a Syntax-Aware Encoder and DecoderCode0
Story Generation from Sequence of Independent Short Descriptions—0
Top-Rank Enhanced Listwise Optimization for Statistical Machine Translation—0
Towards Bidirectional Hierarchical Representations for Attention-Based Neural Machine Translation—0
Artificial Error Generation with Machine Translation and Syntactic Patterns—0
LIUM Machine Translation Systems for WMT17 News Translation TaskCode0
LIUM-CVC Submissions for WMT17 Multimodal Translation Task—0
Neural Machine Translation between Herbal Prescriptions and Diseases—0
A Nested Attention Neural Hybrid Model for Grammatical Error Correction—0
An Embedded Deep Learning based Word PredictionCode0
Single-Queue Decoding for Neural Machine TranslationCode0
Cross-Lingual Sentiment Analysis Without (Good) Translation—0
An empirical study on the effectiveness of images in Multimodal Neural Machine Translation—0
Visually Grounded Word Embeddings and Richer Visual Features for Improving Multimodal Neural Machine Translation—0
Dual Supervised Learning—0
Efficient Extraction of Pseudo-Parallel Sentences from Raw Monolingual Data Using Word Embeddings—0
Learning attention for historical text normalization by learning to pronounce—0
Abstractive Document Summarization with a Graph-Based Attentional Neural Model—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