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 8451–8500 of 10752 papers

TitleStatusHype
A Test Suite and Manual Evaluation of Document-Level NMT at WMT19—0
A Test Suite for Evaluating Discourse Phenomena in Document-level Neural Machine Translation—0
Athena: Efficient Block-Wise Post-Training Quantization for Large Language Models Using Second-Order Matrix Derivative Information—0
A Thorough Investigation into the Application of Deep CNN for Enhancing Natural Language Processing Capabilities—0
A Three-Layer Architecture for Automatic Post Editing System Using Rule-Based Paradigm—0
A Three Stage Hybrid Parser for Hindi—0
ATLAS - Human Language Technologies integrated within a Multilingual Web Content Management System—0
A Tool for a High-Carat Gold-Standard Word Alignment—0
A tool for enhanced search of multilingual digital libraries of e-journals—0
A Topic Similarity Model for Hierarchical Phrase-based Translation—0
A Topic-Triggered Language Model for Statistical Machine Translation—0
A Transformer-Based Multi-Source Automatic Post-Editing System—0
A tree is a Baum is an \'arbol is a sach'a: Creating a trilingual treebank—0
A Tree Transducer Model for Grammatical Error Correction—0
Attacking Parsing Bottlenecks with Unlabeled Data and Relevant Factorizations—0
Attempt Towards Stress Transfer in Speech-to-Speech Machine Translation—0
Attention-based Encoder-Decoder Networks for Spelling and Grammatical Error Correction—0
Attention-based LSTM Network for Cross-Lingual Sentiment Classification—0
Attention-based Multimodal Neural Machine Translation—0
Attention-based Neural Load Forecasting: A Dynamic Feature Selection Approach—0
Attention-based Recurrent Convolutional Neural Network for Automatic Essay Scoring—0
Attention based Sequence to Sequence Learning for Machine Translation of Low Resourced Indic Languages -- A case of Sanskrit to Hindi—0
Attention-based Vocabulary Selection for NMT Decoding—0
Attention Calibration for Transformer in Neural Machine Translation—0
Attention-Driven Body Pose Encoding for Human Activity Recognition—0
Attention Focusing for Neural Machine Translation by Bridging Source and Target Embeddings—0
Attention Forcing for Sequence-to-sequence Model Training—0
Attention for Implicit Discourse Relation Recognition—0
Attention Link: An Efficient Attention-Based Low Resource Machine Translation Architecture—0
Attention Mechanism and Context Modeling System for Text Mining Machine Translation—0
Attention Mechanism with Energy-Friendly Operations—0
Attention over Heads: A Multi-Hop Attention for Neural Machine Translation—0
Attention-Passing Models for Robust and Data-Efficient End-to-End Speech Translation—0
Attention Strategies for Multi-Source Sequence-to-Sequence Learning—0
Attention Weights in Transformer NMT Fail Aligning Words Between Sequences but Largely Explain Model Predictions—0
Attentive Language Models—0
attr2vec: Jointly Learning Word and Contextual Attribute Embeddings with Factorization Machines—0
Attribute based Chinese Named Entity Recognition and Disambiguation—0
AttS2S-VC: Sequence-to-Sequence Voice Conversion with Attention and Context Preservation Mechanisms—0
A Two-level Classifier for Discriminating Similar Languages—0
A Two-Stage Curriculum Training Framework for NMT—0
Audience-specific Explanations for Machine Translation—0
Audiovisual Transformer Architectures for Large-Scale Classification and Synchronization of Weakly Labeled Audio Events—0
Audiovisual Translation through NMT and Subtitling in the Netflix Series ‘Cable Girls’—0
Augment Dependency-to-String Translation with Fixed and Floating Structures—0
Augmenting Image Question Answering Dataset by Exploiting Image Captions—0
Augmenting Large Language Model Translators via Translation Memories—0
Augmenting Phrase Table by Employing Lexicons for Pivot-based SMT—0
Augmenting Pivot based SMT with word segmentation—0
Augmenting Statistical Machine Translation with Subword Translation of Out-of-Vocabulary Words—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