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 2301–2350 of 10752 papers

TitleStatusHype
A Dependency-to-String Model for Chinese-Japanese SMT System—0
Automated Paraphrase Lattice Creation for HyTER Machine Translation Evaluation—0
Automated Multi-Language to English Machine Translation Using Generative Pre-Trained Transformers—0
Anaphora and Coreference Resolution: A Review—0
An Analytical Model of Language Resource Sustainability—0
Automated Grammar Correction Using Hierarchical Phrase-Based Statistical Machine Translation—0
A Dependency Edge-based Transfer Model for Statistical Machine Translation—0
A Comparison of Different NMT Approaches to Low-Resource Dutch-Albanian Machine Translation—0
Abstractive Document Summarization with a Graph-Based Attentional Neural Model—0
Crowdsourced Phrase-Based Tokenization for Low-Resourced Neural Machine Translation: The Case of Fon Language—0
Crowdsourcing for Evaluating Machine Translation Quality—0
Automated Audio Captioning with Recurrent Neural Networks—0
An Analysis of Source-Side Grammatical Errors in NMT—0
An Analysis of Massively Multilingual Neural Machine Translation for Low-Resource Languages—0
A Dependency-Constrained Hierarchical Model with Moses—0
Cross-Modal Multi-Tasking for Speech-to-Text Translation via Hard Parameter Sharing—0
AutoLoss: Learning Discrete Schedule for Alternate Optimization—0
An Analysis of Encoder Representations in Transformer-Based Machine Translation—0
Cross-linguistic annotation of narrativity for English/French verb tense disambiguation—0
A Dependency-Based Neural Reordering Model for Statistical Machine Translation—0
An Analysis of Crowdsourced Text Simplifications—0
A comparison of data filtering techniques for English-Polish LLM-based machine translation in the biomedical domain—0
Cross-Linguistic Examination of Machine Translation Transfer Learning—0
Cross-Task Knowledge Transfer for Query-Based Text Summarization—0
AutoDropout: Learning Dropout Patterns to Regularize Deep Networks—0
Autocorrect in the Process of Translation --- Multi-task Learning Improves Dialogue Machine Translation—0
An Analysis of BPE Vocabulary Trimming in Neural Machine Translation—0
Autobank: a semi-automatic annotation tool for developing deep Minimalist Grammar treebanks—0
An Analysis of Attention Mechanisms: The Case of Word Sense Disambiguation in Neural Machine Translation—0
A Comparison of Data Filtering Methods for Neural Machine Translation—0
AUT Document Alignment Framework for BUCC Workshop Shared Task—0
A User-Study on Online Adaptation of Neural Machine Translation to Human Post-Edits—0
An analysis of a French as a Foreign Language Corpus for Readability Assessment—0
A User Study of the Incremental Learning in NMT—0
A Use Case: Reformulating Query Rewriting as a Statistical Machine Translation Problem—0
An Analysis (and an Annotated Corpus) of User Responses to Machine Translation Output—0
A Deep Neural Network Approach To Parallel Sentence Extraction—0
Abstractive Compression of Captions with Attentive Recurrent Neural Networks—0
CROWD-IN-THE-LOOP: A Hybrid Approach for Annotating Semantic Roles—0
A Universal Parent Model for Low-Resource Neural Machine Translation Transfer—0
A deep Natural Language Inference predictor without language-specific training data—0
A Comparison of Approaches to Document-level Machine Translation—0
A Unified Neural Coherence Model—0
A Unified Model for Soft Linguistic Reordering Constraints in Statistical Machine Translation—0
Analyzing the Use of Influence Functions for Instance-Specific Data Filtering in Neural Machine Translation—0
Evaluating the Translation Performance of Large Language Models Based on Euas-20—0
A Unified Kernel Approach for Learning Typed Sentence Rewritings—0
A Unified Framework for Grammar Error Correction—0
Analyzing the Use of Character-Level Translation with Sparse and Noisy Datasets—0
A Unified Approach to Transliteration-based Text Input with Online Spelling Correction—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