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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 4051–4100 of 10752 papers

TitleStatusHype
Combining Local and Document-Level Context: The LMU Munich Neural Machine Translation System at WMT19—0
FourierNAT: A Fourier-Mixing-Based Non-Autoregressive Transformer for Parallel Sequence Generation—0
Fourteen Light Tasks for comparing Analogical and Phrase-based Machine Translation—0
Combining Multiple Alignments to Improve Machine Translation—0
Frame-Based Annotation of Multimodal Corpora: Tracking (A)Synchronies in Meaning Construction—0
FrameNet Annotations Alignment using Attention-based Machine Translation—0
Free/Open Source Shallow-Transfer Based Machine Translation for Spanish and Aragonese—0
FreeTransfer-X: Safe and Label-Free Cross-Lingual Transfer from Off-the-Shelf Models—0
Freezing Subnetworks to Analyze Domain Adaptation in Neural Machine Translation—0
Freezing the Pivot for Triangular Machine Translation—0
Frequency-Aware Contrastive Learning for Neural Machine Translation—0
Combining Quality Estimation and Automatic Post-editing to Enhance Machine Translation output—0
From a Distance: Using Cross-lingual Word Alignments for Noun Compound Bracketing—0
From All Possible Worlds to Small Worlds: A Story of How We Started and Where We Will Go Doing Semantics—0
From Bilingual to Multilingual Neural Machine Translation by Incremental Training—0
From Caesar Cipher to Unsupervised Learning: A New Method for Classifier Parameter Estimation—0
From Calculation to Adjudication: Examining LLM judges on Mathematical Reasoning Tasks—0
From dictations to clinical reports using machine translation—0
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
Combining Statistical Translation Techniques for Cross-Language Information Retrieval—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
A Multilingual View of Unsupervised Machine Translation—0
From LLM to NMT: Advancing Low-Resource Machine Translation with Claude—0
Combining the output of two coreference resolution systems for two source languages to improve annotation projection—0
Adaptive Knowledge Sharing in Multi-Task Learning: Improving Low-Resource Neural Machine Translation—0
From Nodes to Networks: Evolving Recurrent Neural Networks—0
Combining Top-down and Bottom-up Search for Unsupervised Induction of Transduction Grammars—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
Combining Word and Character Vector Representation on Neural Machine Translation—0
From Unsupervised Machine Translation To Adversarial Text Generation—0
From Zero to Production: Baltic-Ukrainian Machine Translation Systems to Aid Refugees—0
Coreference and Coherence in Neural Machine Translation: A Study Using Oracle Experiments—0
Coping with the Subjectivity of Human Judgements in MT Quality Estimation—0
Full-coverage Identification of English Light Verb Constructions—0
A Topic-Triggered Language Model for Statistical Machine Translation—0
Copied Monolingual Data Improves Low-Resource Neural Machine Translation—0
Coordination Structures in Dependency Treebanks—0
A Topic Similarity Model for Hierarchical Phrase-based Translation—0
A Multilingual Reading Comprehension System for more than 100 Languages—0
Addressing Community Question Answering in English and Arabic—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