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 6551–6600 of 10752 papers

TitleStatusHype
From Disjoint Sets to Parallel Data to Train Seq2Seq Models for Sentiment Transfer—0
From European Portuguese to Portuguese Sign Language—0
From Extractive to Abstractive Summarization: A Journey—0
From Finite-State to Inversion Transductions: Toward Unsupervised Bilingual Grammar Induction—0
From Handcrafted Features to LLMs: A Brief Survey for Machine Translation Quality Estimation—0
From Human Language Technology to Human Language Science—0
Gender Neutralization for an Inclusive Machine Translation: from Theoretical Foundations to Open Challenges—0
From Interoperable Annotations towards Interoperable Resources: A Multilingual Approach to the Analysis of Discourse—0
From Jack of All Trades to Master of One: Specializing LLM-based Autoraters to a Test Set—0
From LLM to NMT: Advancing Low-Resource Machine Translation with Claude—0
From Nodes to Networks: Evolving Recurrent Neural Networks—0
From Research to Production and Back: Ludicrously Fast Neural Machine Translation—0
From Rule-Based Models to Deep Learning Transformers Architectures for Natural Language Processing and Sign Language Translation Systems: Survey, Taxonomy and Performance Evaluation—0
From Simultaneous to Streaming Machine Translation by Leveraging Streaming History—0
From Speech-to-Speech Translation to Automatic Dubbing—0
From Unsupervised Machine Translation To Adversarial Text Generation—0
From Zero to Production: Baltic-Ukrainian Machine Translation Systems to Aid Refugees—0
Full-coverage Identification of English Light Verb Constructions—0
Full Machine Translation for Factoid Question Answering—0
FullStop:Punctuation and Segmentation Prediction for Dutch with Transformers—0
Fully Automatic Semantic MT Evaluation—0
Fully Quantized Transformer for Machine Translation—0
Fully Unsupervised Crosslingual Semantic Textual Similarity Metric Based on BERT for Identifying Parallel Data—0
Fused Acoustic and Text Encoding for Multimodal Bilingual Pretraining and Speech Translation—0
Fusing Recency into Neural Machine Translation with an Inter-Sentence Gate Model—0
Future-Prediction-Based Model for Neural Machine Translation—0
FuxiMT: Sparsifying Large Language Models for Chinese-Centric Multilingual Machine Translation—0
Fuzzy-match repair using black-box machine translation systems: what can be expected?—0
Gappy Pattern Matching on GPUs for On-Demand Extraction of Hierarchical Translation Grammars—0
Gated Convolutional Sequence to Sequence Based Learning for English-Hingilsh Code-Switched Machine Translation.—0
Gated Group Self-Attention for Answer Selection—0
GATE X-E : A Challenge Set for Gender-Fair Translations from Weakly-Gendered Languages—0
Gathering and Generating Paraphrases from Twitter with Application to Normalization—0
Gating Dropout: Communication-efficient Regularization for Sparsely Activated Transformers—0
GATology for Linguistics: What Syntactic Dependencies It Knows—0
gdbank: The beginnings of a corpus of dependency structures and type-logical grammar in Scottish Gaelic—0
GEC into the future: Where are we going and how do we get there?—0
GECO-MT: The Ghent Eye-tracking Corpus of Machine Translation—0
GeMQuAD : Generating Multilingual Question Answering Datasets from Large Language Models using Few Shot Learning—0
genCNN: A Convolutional Architecture for Word Sequence Prediction—0
genCNN: A Convolutional Architecture for Word Sequence Prediction—0
Gender Aware Spoken Language Translation Applied to English-Arabic—0
Gender Bias Amplification During Speed-Quality Optimization in Neural Machine Translation—0
Gender bias Evaluation in Luganda-English Machine Translation—0
Gender Bias in Machine Translation and The Era of Large Language Models—0
Gender Bias in Multilingual Neural Machine Translation: The Architecture Matters—0
Gender Bias in Transformer Models: A comprehensive survey—0
Gender-specific Machine Translation with Large Language Models—0
General2Specialized LLMs Translation for E-commerce—0
General binarization for parsing and 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