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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 8951–9000 of 10752 papers

TitleStatusHype
CASMACAT: A Computer-assisted Translation Workbench—0
CATaLog: New Approaches to TM and Post Editing Interfaces—0
CATaLog Online: A Web-based CAT Tool for Distributed Translation with Data Capture for APE and Translation Process Research—0
CATaLog Online: Porting a Post-editing Tool to the Web—0
Categorizing Semantic Representations for Neural Machine Translation—0
CATER: Leveraging LLM to Pioneer a Multidimensional, Reference-Independent Paradigm in Translation Quality Evaluation—0
Causal Transformers: Improving the Robustness on Spurious Correlations—0
Causes and Cures for Interference in Multilingual Translation—0
caWaC -- A web corpus of Catalan and its application to language modeling and machine translation—0
CBSiMT: Mitigating Hallucination in Simultaneous Machine Translation with Weighted Prefix-to-Prefix Training—0
CCG Syntactic Reordering Models for Phrase-based Machine Translation—0
CCPrefix: Counterfactual Contrastive Prefix-Tuning for Many-Class Classification—0
CDA: a Cost Efficient Content-based Multilingual Web Document Aligner—0
CEF Data Marketplace: Powering a Long-term Supply of Language Data—0
Cell-aware Stacked LSTMs for Modeling Sentences—0
层次化结构全局上下文增强的篇章级神经机器翻译(Hierarchical Global Context Augmented Document-level Neural Machine Translation)—0
cEnTam: Creation and Validation of a New English-Tamil Bilingual Corpus—0
Central Kurdish machine translation: First large scale parallel corpus and experiments—0
Central Yup'ik and Machine Translation of Low-Resource Polysynthetic Languages—0
CFT13: A resource for research into the post-editing process—0
ChakmaNMT: A Low-resource Machine Translation On Chakma Language—0
Challenges and Perspectives for Innu-Aimun within Indigenous Language Technologies—0
Challenges and Solutions for Latin Named Entity Recognition—0
Challenges in Adaptive Neural Machine Translation—0
Challenges in Creating a Multilingual Sentiment Analysis Application for Social Media Mining—0
Challenges in Speech Recognition and Translation of High-Value Low-Density Polysynthetic Languages—0
Challenges in Translation of Emotions in Multilingual User-Generated Content: Twitter as a Case Study—0
Challenges of Building Domain-Specific Parallel Corpora from Public Administration Documents—0
Challenges of Computational Processing of Code-Switching—0
Challenges of Neural Machine Translation for Short Texts—0
Challenging Language-Dependent Segmentation for Arabic: An Application to Machine Translation and Part-of-Speech Tagging—0
Character Alignment in Morphologically Complex Translation Sets for Related Languages—0
Character and Subword-Based Word Representation for Neural Language Modeling Prediction—0
Character-Aware Decoder for Translation into Morphologically Rich Languages—0
Character-Aware Neural Networks for Arabic Named Entity Recognition for Social Media—0
Character-based Decoding in Tree-to-Sequence Attention-based Neural Machine Translation—0
Character-based Neural Machine Translation—0
Character-based Neural Machine Translation—0
Character-based Neural Machine Translation—0
Character-Based Pivot Translation for Under-Resourced Languages and Domains—0
Character-Cluster-Based Segmentation using Monolingual and Bilingual Information for Statistical Machine Translation—0
Characterizing Departures from Linearity in Word Translation—0
Character-Level Machine Translation Evaluation for Languages with Ambiguous Word Boundaries—0
Character-level NMT and language similarity—0
Character-level Transformer-based Neural Machine Translation—0
Character-Level Translation with Self-attention—0
Character Mapping and Ad-hoc Adaptation: Edinburgh's IWSLT 2020 Open Domain Translation System—0
Character n-gram Embeddings to Improve RNN Language Models—0
Character Sequence-to-Sequence Model with Global Attention for Universal Morphological Reinflection—0
CharacTer: Translation Edit Rate on Character Level—0
Show:102550
← PrevPage 180 of 216Next →
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