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 4651–4700 of 10752 papers

TitleStatusHype
Learning Homographic Disambiguation Representation for Neural Machine Translation—0
Learning How to Conjugate the Romanian Verb. Rules for Regular and Partially Irregular Verbs—0
Learning How to Translate North Korean through South Korean—0
Learning Hybrid Representations to Retrieve Semantically Equivalent Questions—0
Learning Improved Reordering Models for Urdu, Farsi and Italian using SMT—0
Learning Joint Multilingual Sentence Representations with Neural Machine Translation—0
Learning Language-Specific Layers for Multilingual Machine Translation—0
Learning Lexical Entries for Robotic Commands using Crowdsourcing—0
Learning Monolingual Compositional Representations via Bilingual Supervision—0
Learning Multilingual Expressive Speech Representation for Prosody Prediction without Parallel Data—0
Learning Neural Representation for CLIR with Adversarial Framework—0
Learning New Semi-Supervised Deep Auto-encoder Features for Statistical Machine Translation—0
Learning Non-linear Features for Machine Translation Using Gradient Boosting Machines—0
Learning Online Alignments with Continuous Rewards Policy Gradient—0
Learning Paraphrasing for Multiword Expressions—0
Learning Paraphrastic Sentence Embeddings from Back-Translated Bitext—0
Learning Phrase Embeddings from Paraphrases with GRUs—0
Learning Phrase Representations using RNN Encoder--Decoder for Statistical Machine Translation—0
Learning Policies for Multilingual Training of Neural Machine Translation Systems—0
Learning Polylingual Topic Models from Code-Switched Social Media Documents—0
Learning Representations and Agents for Information Retrieval—0
Learning Robust Joint Representations for Multimodal Sentiment Analysis—0
Learning Semantic Composition to Detect Non-compositionality of Multiword Expressions—0
Learning Semantic Representations for the Phrase Translation Model—0
Learning Semantic Word Embeddings based on Ordinal Knowledge Constraints—0
Learnings from Technological Interventions in a Low Resource Language: A Case-Study on Gondi—0
Learning Simplifications for Specific Target Audiences—0
Learning Source Phrase Representations for Neural Machine Translation—0
Learning Structured Predictors from Bandit Feedback for Interactive NLP—0
Learning synchronous context-free grammars with multiple specialised non-terminals for hierarchical phrase-based translation—0
Learning Tag Embeddings and Tag-specific Composition Functions in Recursive Neural Network—0
Learning Term Embeddings for Taxonomic Relation Identification Using Dynamic Weighting Neural Network—0
Learning the Impact of Machine Translation Evaluation Metrics for Semantic Textual Similarity—0
Learning The Sequential Temporal Information with Recurrent Neural Networks—0
Learning the Taxonomy of Function Words for Parsing—0
Learning to Actively Learn Neural Machine Translation—0
Learning to Adapt Credible Knowledge in Cross-lingual Sentiment Analysis—0
Learning to Capitalize with Character-Level Recurrent Neural Networks: An Empirical Study—0
Learning to Combine Instructions in LLVM Compiler—0
Learning to Control the Specificity in Neural Response Generation—0
Learning to Decode for Future Success—0
Learning to Detect Unacceptable Machine Translations for Downstream Tasks—0
Learning to Differentiate Better from Worse Translations—0
Learning to Discriminate Noises for Incorporating External Information in Neural Machine Translation—0
Learning to Evaluate Translation Beyond English: BLEURT Submissions to the WMT Metrics 2020 Shared Task—0
Learning to Find Translations and Transliterations on the Web—0
Learning to Find Translations and Transliterations on the Web based on Conditional Random Fields—0
Learning to Generate Word- and Phrase-Embeddings for Efficient Phrase-Based Neural Machine Translation—0
Learning to Interpret and Describe Abstract Scenes—0
Learning to Jointly Translate and Predict Dropped Pronouns with a Shared Reconstruction Mechanism—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