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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 6901–6950 of 10752 papers

TitleStatusHype
Shared Task Proposal: Multilingual Surface Realization Using Universal Dependency Trees—0
Sheffield MultiMT: Using Object Posterior Predictions for Multimodal Machine Translation—0
Inter-Weighted Alignment Network for Sentence Pair Modeling—0
Journey around Neural Machine Translation quality—0
Improving Machine Translation Quality Estimation with Neural Network Features—0
A Case Study of Machine Translation in Financial Sentiment Analysis—0
Segmentation-Free Word Embedding for Unsegmented Languages—0
Language Generation from DB Query—0
Idiom-Aware Compositional Distributed Semantics—0
Identifying Where to Focus in Reading Comprehension for Neural Question Generation—0
The AMU-UEdin Submission to the WMT 2017 Shared Task on Automatic Post-Editing—0
The AFRL WMT17 Neural Machine Translation Training Task Submission—0
The AFRL-OSU WMT17 Multimodal Translation System: An Image Processing Approach—0
The AFRL-MITLL WMT17 Systems: Old, New, Borrowed, BLEU—0
Instance Weighting for Neural Machine Translation Domain AdaptationCode0
Hunter MT: A Course for Young Researchers in WMT17—0
Same same, but different: Compositionality of paraphrase granularity levelsCode0
Learning an Interactive Attention Policy for Neural Machine Translation—0
A Multilingual Parallel Corpus for Improving Machine Translation on Southeast Asian LanguagesCode0
Rule-based Machine translation from English to Finnish—0
Guiding Neural Machine Translation Decoding with External Knowledge—0
A Multiform Balanced Dependency Treebank for Romanian—0
Lexical Chains meet Word Embeddings in Document-level Statistical Machine Translation—0
GradAscent at EmoInt-2017: Character and Word Level Recurrent Neural Network Models for Tweet Emotion Intensity Detection—0
LIG-CRIStAL Submission for the WMT 2017 Automatic Post-Editing Task—0
A Statistical Machine Translation Model with Forest-to-Tree Algorithm for Semantic Parsing—0
Inflection Generation for Spanish Verbs using Supervised Learning—0
LIMSI Submission for WMT'17 Shared Task on Bandit Learning—0
LIMSI@WMT'17—0
Generating titles for millions of browse pages on an e-Commerce site—0
A Study of Style in Machine Translation: Controlling the Formality of Machine Translation Output—0
Linguistic realisation as machine translation: Comparing different MT models for AMR-to-text generation—0
Generating Image Descriptions using Multilingual Data—0
GEC into the future: Where are we going and how do we get there?—0
LMU Munich's Neural Machine Translation Systems for News Articles and Health Information Texts—0
Further Investigation into Reference Bias in Monolingual Evaluation of Machine TranslationCode0
A Target Attention Model for Neural Machine Translation—0
Log-linear Models for Uyghur Segmentation in Spoken Language Translation—0
Formalization of Speech Verbs with NooJ for Machine Translation: the French Verb accuser—0
Results of the WMT17 Neural MT Training Task—0
Results of the WMT17 Metrics Shared Task—0
Finite-State Morphological Analysis for Marathi—0
Fine-Tuning for Neural Machine Translation with Limited Degradation across In- and Out-of-Domain Data—0
Findings of the WMT 2017 Biomedical Translation Shared Task—0
Findings of the 2017 DiscoMT Shared Task on Cross-lingual Pronoun Prediction—0
Findings of the 2017 Conference on Machine Translation (WMT17)—0
Machine Translation as an Academic Writing Aid for Medical Practitioners—0
Feature-Enriched Character-Level Convolutions for Text Regression—0
FBK's Participation to the English-to-German News Translation Task of WMT 2017—0
Machine Translation, it's a question of style, innit? The case of English tag questions—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