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 3851–3900 of 10752 papers

TitleStatusHype
Bi-Decoder Augmented Network for Neural Machine Translation—0
FBK's Participation to the English-to-German News Translation Task of WMT 2017—0
Does String-Based Neural MT Learn Source Syntax?—0
Does Neural Machine Translation Benefit from Larger Context?—0
Biconditional Generative Adversarial Networks for Multiview Learning with Missing Views—0
FBK-HLT: An Effective System for Paraphrase Identification and Semantic Similarity in Twitter—0
Does Multimodality Help Human and Machine for Translation and Image Captioning?—0
FBK: Machine Translation Evaluation and Word Similarity metrics for Semantic Textual Similarity—0
Does more data always yield better translations?—0
FBK’s Neural Machine Translation Systems for IWSLT 2016—0
FBK-TR: Applying SVM with Multiple Linguistic Features for Cross-Level Semantic Similarity—0
FBK-UEdin Participation to the WMT13 Quality Estimation Shared Task—0
Does Context Help Mitigate Gender Bias in Neural Machine Translation?—0
FCICU at SemEval-2017 Task 1: Sense-Based Language Independent Semantic Textual Similarity Approach—0
FCICU: The Integration between Sense-Based Kernel and Surface-Based Methods to Measure Semantic Textual Similarity—0
Biber Redux: Reconsidering Dimensions of Variation in American English—0
An Exploration of Post-Editing Effectiveness in Text Summarization—0
Feature-Based Decipherment for Machine Translation—0
A Framework for the Classification and Annotation of Multiword Expressions in Dialectal Arabic—0
Feature Decay Algorithms for Fast Deployment of Accurate Statistical Machine Translation Systems—0
A Corpus of Machine Translation Errors Extracted from Translation Students Exercises—0
Feature Exploration for Cross-Lingual Pronoun Prediction—0
A Case Study on Context-Aware Neural Machine Translation with Multi-Task Learning—0
Feature-level Incongruence Reduction for Multimodal Translation—0
Does BLEU Score Work for Code Migration?—0
Feature-Rich Part-Of-Speech Tagging Using Deep Syntactic and Semantic Analysis—0
Feature-Rich Phrase-based Translation: Stanford University's Submission to the WMT 2013 Translation Task—0
Feature-Rich Twitter Named Entity Recognition and Classification—0
Feature-Rich Two-Stage Logistic Regression for Monolingual Alignment—0
Feature Weight Optimization for Discourse-Level SMT—0
Federated Nearest Neighbor Machine Translation—0
Does `well-being' translate on Twitter?—0
Feriji: A French-Zarma Parallel Corpus, Glossary & Translator—0
Few-Shot Cross-Lingual Transfer for Prompting Large Language Models in Low-Resource Languages—0
Does a Computational Linguist have to be a Linguist?—0
Do dependency parsing metrics correlate with human judgments?—0
Few-Shot Optimized Framework for Hallucination Detection in Resource-Limited NLP Systems—0
Few-Shot Regularization to Tackle Catastrophic Forgetting in Multilingual Machine Translation—0
Biasing Attention-Based Recurrent Neural Networks Using External Alignment Information—0
An Exploration of Placeholding in Neural Machine Translation—0
Document-Wide Decoding for Phrase-Based Statistical Machine Translation—0
FFR v1.1: Fon-French Neural Machine Translation—0
Field Experiments of Real Time Foreign News Distribution Powered by MT—0
Fighting Authorship Linkability with Crowdsourcing—0
Filling Gender & Number Gaps in Neural Machine Translation with Black-box Context Injection—0
Filling Gender \& Number Gaps in Neural Machine Translation with Black-box Context Injection—0
Fill in the Blanks: Imputing Missing Sentences for Larger-Context Neural Machine Translation—0
Filter and Match Approach to Pair-wise Web URI Linking—0
Filtered Inner Product Projection for Crosslingual Embedding Alignment—0
Document Translation vs. Query Translation for Cross-Lingual Information Retrieval in the Medical Domain—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