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 9051–9100 of 10752 papers

TitleStatusHype
Orthographic and Morphological Processing for Persian-to-English Statistical Machine Translation—0
Orthographic Features for Bilingual Lexicon Induction—0
OSN-MDAD: Machine Translation Dataset for Arabic Multi-Dialectal Conversations on Online Social Media—0
OSU Multimodal Machine Translation System Report—0
Our Neural Machine Translation Systems for WAT 2019—0
Out-of-Order Decoding for Robust Neural Machine Translation—0
Out-of-the-box Universal Romanization Tool uroman—0
Overcoming a Theoretical Limitation of Self-Attention—0
Overcoming Catastrophic Forgetting During Domain Adaptation of Neural Machine Translation—0
Overcoming Resistance: The Normalization of an Amazonian Tribal Language—0
Overcoming the Curse of Sentence Length for Neural Machine Translation using Automatic Segmentation—0
Overcoming the Rare Word Problem for Low-Resource Language Pairs in Neural Machine Translation—0
Overcoming Vocabulary Constraints with Pixel-level Fallback—0
Overestimation in LLM Evaluation: A Controlled Large-Scale Study on Data Contamination's Impact on Machine Translation—0
Overview of the 1st Workshop on Asian Translation—0
Overview of the 2013 ALTA Shared Task—0
Overview of the 2nd Workshop on Asian Translation—0
Overview of the 3rd Workshop on Asian Translation—0
Overview of the 4th Workshop on Asian Translation—0
Overview of the IWSLT 2017 Evaluation Campaign—0
Overview of the Second BUCC Shared Task: Spotting Parallel Sentences in Comparable Corpora—0
Overview of the Shared Task on Machine Translation in Dravidian Languages—0
PaCCSS-IT: A Parallel Corpus of Complex-Simple Sentences for Automatic Text Simplification—0
PaCMan : Parallel Corpus Management Workbench—0
PAD: Towards Efficient Data Generation for Transfer Learning Using Phrase Alignment—0
Pair Language Models for Deriving Alternative Pronunciations and Spellings from Pronunciation Dictionaries—0
PairReranker: Pairwise Reranking for Natural Language Generation—0
Pairwise Neural Machine Translation Evaluation—0
PangeaMT v 3 – customise your own machine translation environment—0
PanGu-Σ: Towards Trillion Parameter Language Model with Sparse Heterogeneous Computing—0
Panlingua-KMI MT System for Similar Language Translation Task at WMT 2019—0
papago: A Machine Translation Service with Word Sense Disambiguation and Currency Conversion—0
ParaBank: Monolingual Bitext Generation and Sentential Paraphrasing via Lexically-constrained Neural Machine Translation—0
ParaCotta: Synthetic Multilingual Paraphrase Corpora from the Most Diverse Translation Sample Pair—0
ParaDi: Dictionary of Paraphrases of Czech Complex Predicates with Light Verbs—0
PARADIGM: Paraphrase Diagnostics through Grammar Matching—0
PARADISE”:" Exploiting Parallel Data for Multilingual Sequence-to-Sequence Pretraining—0
Parallel Aligned Treebanks at LDC: New Challenges Interfacing Existing Infrastructures—0
Parallel Attention Forcing for Machine Translation—0
Parallel Attention Mechanisms in Neural Machine Translation—0
Parallel Corpora for bi-Directional Statistical Machine Translation for Seven Ethiopian Language Pairs—0
Parallel Corpora for bi-lingual English-Ethiopian Languages Statistical Machine Translation—0
Parallel Corpora in Mboshi (Bantu C25, Congo-Brazzaville)—0
Parallel Corpus Filtering via Pre-trained Language Models—0
Parallel Data, Tools and Interfaces in OPUS—0
Parallel FDA5 for Fast Deployment of Accurate Statistical Machine Translation Systems—0
Parallelizing Word2Vec in Shared and Distributed Memory—0
Parallel resources for Tunisian Arabic Dialect Translation—0
Parallel Sentence Compression—0
Parallel Sentence Extraction from Comparable Corpora with Neural Network Features—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