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 3951–4000 of 10752 papers

TitleStatusHype
Does a Computational Linguist have to be a Linguist?—0
Findings of the WMT 2021 Shared Task on Efficient Translation—0
Findings of the WMT 2021 Shared Task on Quality Estimation—0
Findings of the WMT 2021 Shared Task on Large-Scale Multilingual Machine Translation—0
Do dependency parsing metrics correlate with human judgments?—0
Findings of the WMT 2023 Shared Task on Discourse-Level Literary Translation: A Fresh Orb in the Cosmos of LLMs—0
Findings of the WMT Shared Task on Machine Translation Using Terminologies—0
Biasing Attention-Based Recurrent Neural Networks Using External Alignment Information—0
Finding Structure in Figurative Language: Metaphor Detection with Topic-based Frames—0
Finding the Answers with Definition Models—0
Finding the Right Recipe for Low Resource Domain Adaptation in Neural Machine Translation—0
Finding the Right Recipe for Low Resource Domain Adaptation in Neural Machine Translation—0
Find the word that does not belong: A Framework for an Intrinsic Evaluation of Word Vector Representations—0
Fine-Grained Arabic Dialect Identification—0
An Exploration of Placeholding in Neural Machine Translation—0
Fine-Grained Discourse Structures in Continuation Semantics—0
Document-Wide Decoding for Phrase-Based Statistical Machine Translation—0
Fine-grained evaluation of German-English Machine Translation based on a Test Suite—0
Document Translation vs. Query Translation for Cross-Lingual Information Retrieval in the Medical Domain—0
Fine-grained evaluation of Quality Estimation for Machine translation based on a linguistically-motivated Test Suite—0
Bianet: A Parallel News Corpus in Turkish, Kurdish and English—0
Document Network Embedding: Coping for Missing Content and Missing Links—0
BhashaVerse : Translation Ecosystem for Indian Subcontinent Languages—0
An Exploration of Neural Sequence-to-Sequence Architectures for Automatic Post-Editing—0
A Framework for Learning Morphology using Suffix Association Matrix—0
Document Level NMT of Low-Resource Languages with Backtranslation—0
Fine-Grained Reward Optimization for Machine Translation using Error Severity Mappings—0
Fine-grained Semantic Textual Similarity for Serbian—0
BFGAN: Backward and Forward Generative Adversarial Networks for Lexically Constrained Sentence Generation—0
Document-level Neural MT: A Systematic Comparison—0
Document-level Neural Machine Translation Using Dependency RST Structure—0
Beyond Words: Deep Learning for Multiword Expressions and Collocations—0
Finetuning End-to-End Models for Estonian Conversational Spoken Language Translation—0
Fine-Tuning for Neural Machine Translation with Limited Degradation across In- and Out-of-Domain Data—0
An Exploration of Discourse-Based Sentence Spaces for Compositional Distributional Semantics—0
Fine-tuning Large Language Models for Domain-specific Machine Translation—0
Document-Level Neural Machine Translation Using BERT as Context Encoder—0
Document-level Neural Machine Translation with Associated Memory Network—0
Fine-tuning Neural Machine Translation on Gender-Balanced Datasets—0
Fine-tuning on Clean Data for End-to-End Speech Translation: FBK @ IWSLT 2018—0
Fine-tuning Pre-trained Named Entity Recognition Models For Indian Languages—0
Beyond Word-based Language Model in Statistical Machine Translation—0
Fineweb-Edu-Ar: Machine-translated Corpus to Support Arabic Small Language Models—0
Finite-State Morphological Analysis for Marathi—0
Finite-state morphological transducers for three Kypchak languages—0
Finnish SQuAD: A Simple Approach to Machine Translation of Span Annotations—0
First approach toward Semantic Role Labeling for Basque—0
First Attempt at Building Parallel Corpora for Machine Translation of Northeast India's Very Low-Resource Languages—0
Document-level Neural Machine Translation with Document Embeddings—0
An Exploration of Data Augmentation Techniques for Improving English to Tigrinya Translation—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