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 8051–8100 of 10752 papers

TitleStatusHype
Sentential Paraphrasing as Black-Box Machine Translation—0
Neural Network Translation Models for Grammatical Error CorrectionCode0
A Recurrent Neural Networks Approach for Estimating the Quality of Machine Translation Output—0
Hyperedge Replacement and Nonprojective Dependency Structures—0
CNRC at SemEval-2016 Task 1: Experiments in Crosslingual Semantic Textual Similarity—0
iAppraise: A Manual Machine Translation Evaluation Environment Supporting Eye-tracking—0
ICL-HD at SemEval-2016 Task 8: Meaning Representation Parsing - Augmenting AMR Parsing with a Preposition Semantic Role Labeling Neural Network—0
Large-scale Multitask Learning for Machine Translation Quality Estimation—0
Phrasal Substitution of Idiomatic ExpressionsCode0
DCU-SEManiacs at SemEval-2016 Task 1: Synthetic Paragram Embeddings for Semantic Textual Similarity—0
Scaling Up Word Clustering—0
Candidate re-ranking for SMT-based grammatical error correction—0
Interlocking Phrases in Phrase-based Statistical Machine Translation—0
DAG-Structured Long Short-Term Memory for Semantic Compositionality—0
IHS-RD-Belarus at SemEval-2016 Task 1: Multistage Approach for Measuring Semantic Similarity—0
CAMR at SemEval-2016 Task 8: An Extended Transition-based AMR Parser—0
FBK HLT-MT at SemEval-2016 Task 1: Cross-lingual Semantic Similarity Measurement Using Quality Estimation Features and Compositional Bilingual Word Embeddings—0
Proceedings of the 2nd Workshop on Semantics-Driven Machine Translation (SedMT 2016)—0
SimiHawk at SemEval-2016 Task 1: A Deep Ensemble System for Semantic Textual Similarity—0
MayoNLP at SemEval-2016 Task 1: Semantic Textual Similarity based on Lexical Semantic Net and Deep Learning Semantic Model—0
Cross-lingual Wikification Using Multilingual Embeddings—0
Source Language Adaptation Approaches for Resource-Poor Machine Translation—0
NORMAS at SemEval-2016 Task 1: SEMSIM: A Multi-Feature Approach to Semantic Text Similarity—0
Mapping Verbs in Different Languages to Knowledge Base Relations using Web Text as Interlingua—0
NUIG-UNLP at SemEval-2016 Task 1: Soft Alignment and Deep Learning for Semantic Textual Similarity—0
Bootstrapping Translation Detection and Sentence Extraction from Comparable Corpora—0
PRIMT: A Pick-Revise Framework for Interactive Machine Translation—0
Obituary: In Memoriam: Susan Armstrong—0
OCLSP at SemEval-2016 Task 9: Multilayered LSTM as a Neural Semantic Dependency Parser—0
SemEval-2016 Task 1: Semantic Textual Similarity, Monolingual and Cross-Lingual Evaluation—0
Extending Phrase-Based Translation with Dependencies by Using Graphs—0
Selecting Syntactic, Non-redundant Segments in Active Learning for Machine Translation—0
Recent Progress in Deep Learning for NLP—0
Simple, Fast Noise-Contrastive Estimation for Large RNN Vocabularies—0
Abstractive Sentence Summarization with Attentive Recurrent Neural Networks—0
Machine Translation of Non-Contiguous Multiword Units—0
Controlling Politeness in Neural Machine Translation via Side Constraints—0
JUNITMZ at SemEval-2016 Task 1: Identifying Semantic Similarity Using Levenshtein Ratio—0
Agreement on Target-bidirectional Neural Machine Translation—0
Interpretese vs. Translationese: The Uniqueness of Human Strategies in Simultaneous InterpretationCode0
An Empirical Evaluation of Noise Contrastive Estimation for the Neural Network Joint Model of Translation—0
Amrita\_CEN at SemEval-2016 Task 1: Semantic Relation from Word Embeddings in Higher Dimension—0
Exploiting N-Best Hypotheses to Improve an SMT Approach to Grammatical Error Correction—0
An Empirical Study of Automatic Chinese Word Segmentation for Spoken Language Understanding and Named Entity Recognition—0
UTA DLNLP at SemEval-2016 Task 12: Deep Learning Based Natural Language Processing System for Clinical Information Identification from Clinical Notes and Pathology Reports—0
USFD at SemEval-2016 Task 1: Putting different State-of-the-Arts into a Box—0
UoB-UK at SemEval-2016 Task 1: A Flexible and Extendable System for Semantic Text Similarity using Types, Surprise and Phrase Linking—0
UofR at SemEval-2016 Task 8: Learning Synchronous Hyperedge Replacement Grammar for AMR Parsing—0
TransRead: Designing a Bilingual Reading Experience with Machine Translation Technologies—0
WHUNlp at SemEval-2016 Task DiMSUM: A Pilot Study in Detecting Minimal Semantic Units and their Meanings using Supervised Models—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