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 4151–4200 of 10752 papers

TitleStatusHype
Between Reading Time and Information Structure—0
A New Approach for Idiom Identification Using Meanings and the Web—0
A First Corpus of AZee Discourse Expressions—0
Distinguishing Common and Proper Nouns—0
Better Uncertainty Quantification for Machine Translation Evaluation—0
An Evaluation of Two Vocabulary Reduction Methods for Neural Machine Translation—0
Distilling Multiple Domains for Neural Machine Translation—0
Distilled embedding: non-linear embedding factorization using knowledge distillation—0
Improving Word Embedding Factorization for Compression Using Distilled Nonlinear Neural Decomposition—0
Better Together: Modern Methods Plus Traditional Thinking in NP Alignment—0
An Evaluation of Subword Segmentation Strategies for Neural Machine Translation of Morphologically Rich Languages—0
A Finite State Transducer Based Morphological Analyzer of Maithili Language—0
Distill, Adapt, Distill: Training Small, In-Domain Models for Neural Machine Translation—0
Distantly Supervised POS Tagging of Low-Resource Languages under Extreme Data Sparsity: The Case of Hittite—0
Better Statistical Machine Translation through Linguistic Treatment of Phrasal Verbs—0
Distance-based Self-Attention Network for Natural Language Inference—0
Dissecting the Practical Lexical Function Model for Compositional Distributional Semantics—0
Better Quality Estimation for Low Resource Corpus Mining—0
An Evaluation of Statistical Post-Editing Systems Applied to RBMT and SMT Systems—0
Positioning yourself in the maze of Neural Text Generation: A Task-Agnostic Survey—0
Dissecting Lottery Ticket Transformers: Structural and Behavioral Study of Sparse Neural Machine Translation—0
Dissecting In-Context Learning of Translations in GPTs—0
DISLOG: A logic-based language for processing discourse structures—0
Better OOV Translation with Bilingual Terminology Mining—0
An Evaluation of Persian-English Machine Translation Datasets with Transformers—0
DISGO: Automatic End-to-End Evaluation for Scene Text OCR—0
Disentangling the Roles of Target-Side Transfer and Regularization in Multilingual Machine Translation—0
Better Datastore, Better Translation: Generating Datastores from Pre-Trained Models for Nearest Neural Machine Translation—0
Disentangling Singlish Discourse Particles with Task-Driven Representation—0
Disentangled Sequence to Sequence Learning for Compositional Generalization—0
BERT vs GPT for financial engineering—0
Disentangled Mask Attention in Transformer—0
BERTTune: Fine-Tuning Neural Machine Translation with BERTScore—0
Discriminative Training of 150 Million Translation Parameters and Its Application to Pruning—0
Discriminative statistical approaches for multilingual speech understanding (Approches statistiques discriminantes pour l'interpr\'etation s\'emantique multilingue de la parole) [in French]—0
BERT(s) to Detect Multiword Expressions—0
An Evaluation of Parser Robustness for Ungrammatical Sentences—0
A finite-state morphological analyzer for a Lakota HPSG grammar—0
A Corpus and Semantic Parser for Multilingual Natural Language Querying of OpenStreetMap—0
A case study of German into English by machine translation: to evaluate Moses using Moses for Mere Mortals—0
A 2-step Framework for Automated Literary Translation Evaluation: Its Promises and Pitfalls—0
Discriminative Reranking for Neural Machine Translation—0
Discriminative Reranking for Grammatical Error Correction with Statistical Machine Translation—0
Discriminative Preordering Meets Kendall's Maximization—0
Discriminative Learning with Natural Annotations: Word Segmentation as a Case Study—0
BERT-PersNER: A New Model for Persian Named Entity Recognition—0
An Evaluation of Language-Agnostic Inner-Attention-Based Representations in Machine Translation—0
Discriminative Joint Modeling of Lexical Variation and Acoustic Confusion for Automated Narrative Retelling Assessment—0
Discriminative Improvements to Distributional Sentence Similarity—0
Discrimination between Similar Languages, Varieties and Dialects using CNN- and LSTM-based Deep Neural Networks—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