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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 7101–7150 of 10752 papers

TitleStatusHype
Weighted Set-Theoretic Alignment of Comparable Sentences—0
Personality Driven Differences in Paraphrase Preference—0
Spectral Graph-Based Method of Multimodal Word Embedding—0
Distantly Supervised POS Tagging of Low-Resource Languages under Extreme Data Sparsity: The Case of Hittite—0
Machine Translation and Automated Analysis of the Sumerian Language—0
Sentence Alignment using Unfolding Recursive Autoencoders—0
Learning Bilingual Projections of Embeddings for Vocabulary Expansion in Machine Translation—0
Users and Data: The Two Neglected Children of Bilingual Natural Language Processing Research—0
zNLP: Identifying Parallel Sentences in Chinese-English Comparable Corpora—0
UParse: the Edinburgh system for the CoNLL 2017 UD shared task—0
Character Sequence-to-Sequence Model with Global Attention for Universal Morphological Reinflection—0
Experiments on Morphological Reinflection: CoNLL-2017 Shared Task—0
Neural Sequence-to-sequence Learning of Internal Word Structure—0
Morphological Inflection Generation with Multi-space Variational Encoder-Decoders—0
Learning from Relatives: Unified Dialectal Arabic Segmentation—0
Delexicalized transfer parsing for low-resource languages using transformed and combined treebanks—0
Initial Explorations of CCG Supertagging for Universal Dependency Parsing—0
Cross-language Learning with Adversarial Neural Networks—0
Attention-based Recurrent Convolutional Neural Network for Automatic Essay Scoring—0
Seq2seq for Morphological Reinflection: When Deep Learning Fails—0
FCICU at SemEval-2017 Task 1: Sense-Based Language Independent Semantic Textual Similarity Approach—0
SemEval-2017 Task 9: Abstract Meaning Representation Parsing and Generation—0
RTM at SemEval-2017 Task 1: Referential Translation Machines for Predicting Semantic Similarity—0
SemEval-2017 Task 1: Semantic Textual Similarity Multilingual and Crosslingual Focused Evaluation—0
SemEval-2017 Task 2: Multilingual and Cross-lingual Semantic Word Similarity—0
BIT at SemEval-2017 Task 1: Using Semantic Information Space to Evaluate Semantic Textual Similarity—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
MITRE at SemEval-2017 Task 1: Simple Semantic Similarity—0
Parsing Graphs with Regular Graph Grammars—0
ResSim at SemEval-2017 Task 1: Multilingual Word Representations for Semantic Textual Similarity—0
Lump at SemEval-2017 Task 1: Towards an Interlingua Semantic Similarity—0
UMDeep at SemEval-2017 Task 1: End-to-End Shared Weight LSTM Model for Semantic Textual Similarity—0
LIM-LIG at SemEval-2017 Task1: Enhancing the Semantic Similarity for Arabic Sentences with Vectors Weighting—0
UWAV at SemEval-2017 Task 7: Automated feature-based system for locating puns—0
Deep Learning Models For Multiword Expression Identification—0
Sheffield at SemEval-2017 Task 9: Transition-based language generation from AMR.—0
Ways of Asking and Replying in Duplicate Question Detection—0
HCTI at SemEval-2017 Task 1: Use convolutional neural network to evaluate Semantic Textual Similarity—0
HCCL at SemEval-2017 Task 2: Combining Multilingual Word Embeddings and Transliteration Model for Semantic Similarity—0
Learned in Translation: Contextualized Word VectorsCode0
SemEval-2017 Task 1: Semantic Textual Similarity - Multilingual and Cross-lingual Focused EvaluationCode1
Linguistically Motivated Vocabulary Reduction for Neural Machine Translation from Turkish to English—0
Regularization techniques for fine-tuning in neural machine translation—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
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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