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 6951–7000 of 10752 papers

TitleStatusHype
Target-side Word Segmentation Strategies for Neural Machine Translation—0
Repeat before Forgetting: Spaced Repetition for Efficient and Effective Training of Neural Networks—0
Sogou Neural Machine Translation Systems for WMT17—0
Interactive Visualization and Manipulation of Attention-based Neural Machine Translation—0
Adapting Neural Machine Translation with Parallel Synthetic Data—0
Extending hybrid word-character neural machine translation with multi-task learning of morphological analysis—0
Exploring Hypotheses Spaces in Neural Machine Translation—0
MEANT 2.0: Accurate semantic MT evaluation for any output language—0
Interpreting Strategies Annotation in the WAW Corpus—0
Adapting Topic Models using Lexical Associations with Tree Priors—0
Amharic-English Speech Translation in Tourism Domain—0
Measuring the Limit of Semantic Divergence for English Tweets.—0
Experiments in Non-Coherent Post-editing—0
Evaluation of Finite State Morphological Analyzers Based on Paradigm Extraction from Wiktionary—0
Evaluation of a Runyankore grammar engine for healthcare messages—0
Evaluating the morphological competence of Machine Translation SystemsCode0
Recognizing Textual Entailment in Twitter Using Word Embeddings—0
Systematically Adapting Machine Translation for Grammatical Error CorrectionCode0
Enhancing Machine Translation of Academic Course Catalogues with Terminological Resources—0
Automatic Threshold Detection for Data Selection in Machine Translation—0
Source-Side Left-to-Right or Target-Side Left-to-Right? An Empirical Comparison of Two Phrase-Based Decoding Algorithms—0
Empirical Study of Dropout Scheme for Neural Machine Translation—0
Syntax Aware LSTM model for Semantic Role Labeling—0
Multi-Domain Neural Machine Translation through Unsupervised Adaptation—0
Effective Domain Mixing for Neural Machine Translation—0
Multi-Lingual Phrase-Based Statistical Machine Translation for Arabic-English—0
Multi-modular domain-tailored OCR post-correction—0
Multi-source Neural Automatic Post-Editing: FBK's participation in the WMT 2017 APE shared task—0
Biasing Attention-Based Recurrent Neural Networks Using External Alignment Information—0
Discovery of Discourse-Related Language Contrasts through Alignment Discrepancies in English-German Translation—0
Bilexical Embeddings for Quality Estimation—0
Dict2vec : Learning Word Embeddings using Lexical DictionariesCode0
Detecting Metaphorical Phrases in the Polish Language—0
Neural Machine Translation for Cross-Lingual Pronoun Prediction—0
Incorporating Global Visual Features into Attention-based Neural Machine Translation.—0
Projection of Argumentative Corpora from Source to Target Languages—0
Deep Neural Solver for Math Word Problems—0
Neural Machine Translation with Source Dependency Representation—0
Neural Paraphrase Generation using Transfer Learning—0
Neural Post-Editing Based on Quality Estimation—0
Neural Pre-Translation for Hybrid Machine Translation—0
Blend: a Novel Combined MT Metric Based on Direct Assessment --- CASICT-DCU submission to WMT17 Metrics Task—0
Neural Response Generation via GAN with an Approximate Embedding Layer—0
Neural Sequence-Labelling Models for Grammatical Error Correction—0
Neural Sequence Learning Models for Word Sense Disambiguation—0
bleu2vec: the Painfully Familiar Metric on Continuous Vector Space Steroids—0
Supersense Tagging with a Combination of Character, Subword, and Word-level Representations—0
Deciphering Related Languages—0
Proceedings of the Third Workshop on Discourse in Machine Translation—0
DCU System Report on the WMT 2017 Multi-modal Machine Translation Task—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
5AdminBLEU score43.8—Unverified
6Transformer (ADMIN init)BLEU 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