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 8451–8500 of 10752 papers

TitleStatusHype
Language Identification using Classifier Ensembles—0
Multi-level Evaluation for Machine Translation—0
Pronoun Translation and Prediction with or without Coreference Links—0
LIMSI@WMT'15 : Translation Task—0
A New Approach for Idiom Identification Using Meanings and the Web—0
Parsing English into Abstract Meaning Representation Using Syntax-Based Machine Translation—0
Graph-Based Collective Lexical Selection for Statistical Machine Translation—0
CUNI in WMT15: Chimera Strikes Again—0
Drem: The AFRL Submission to the WMT15 Tuning Task—0
The FBK Participation in the WMT15 Automatic Post-editing Shared Task—0
chrF: character n-gram F-score for automatic MT evaluation—0
Detecting Content-Heavy Sentences: A Cross-Language Case Study—0
Referential Translation Machines for Predicting Translation Quality and Related Statistics—0
Leave-one-out Word Alignment without Garbage Collector Effects—0
LeBLEU: N-gram-based Translation Evaluation Score for Morphologically Complex Languages—0
Consistency-Aware Search for Word Alignment—0
Connotation in Translation—0
An Empirical Comparison Between N-gram and Syntactic Language Models for Word Ordering—0
Improving Statistical Machine Translation with a Multilingual Paraphrase Database—0
On Statistical Machine Translation and Translation Theory—0
Morphological Analysis for Unsegmented Languages using Recurrent Neural Network Language Model—0
An Investigation of Machine Translation Evaluation Metrics in Cross-lingual Question Answering—0
Motivating Personality-aware Machine Translation—0
The AFRL-MITLL WMT15 System: There's More than One Way to Decode It!—0
Analysing ParCor and its Translations by State-of-the-art SMT Systems—0
Feature-Rich Two-Stage Logistic Regression for Monolingual Alignment—0
Syntax-based Rewriting for Simultaneous Machine Translation—0
Morphological Segmentation and OPUS for Finnish-English Machine Translation—0
Baseline Models for Pronoun Prediction and Pronoun-Aware Translation—0
Pronoun-Focused MT and Cross-Lingual Pronoun Prediction: Findings of the 2015 DiscoMT Shared Task on Pronoun Translation—0
Detecting Document-level Context Triggers to Resolve Translation Ambiguity—0
A Coarse-Grained Model for Optimal Coupling of ASR and SMT Systems for Speech Translation—0
Abu-MaTran at WMT 2015 Translation Task: Morphological Segmentation and Web Crawling—0
Empty Category Detection using Path Features and Distributed Case Frames—0
Statistical Sandhi Splitter and its Effect on NLP Applications—0
Human Evaluation of Grammatical Error Correction Systems—0
Small in Size, Big in Precision: A Case for Using Language-Specific Lexical Resources for Word Sense Disambiguation—0
A Discriminative Training Procedure for Continuous Translation Models—0
An Exploration of Discourse-Based Sentence Spaces for Compositional Distributional Semantics—0
DanProof: Pedagogical Spell and Grammar Checking for Danish—0
Data enhancement and selection strategies for the word-level Quality Estimation—0
Automatic Diacritics Restoration for Hungarian—0
How do Humans Evaluate Machine Translation—0
Data Selection With Fewer Words—0
Exact Decoding with Multi Bottom-Up Tree Transducers—0
Arabic-English Semantic Word Class Alignment to Improve Statistical Machine Translation—0
QUality Estimation from ScraTCH (QUETCH): Deep Learning for Word-level Translation Quality Estimation—0
Re-evaluating Automatic Summarization with BLEU and 192 Shades of ROUGE—0
Proceedings of the Second Workshop on Discourse in Machine Translation—0
Supervised Phrase Table Triangulation with Neural Word Embeddings for Low-Resource Languages—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