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 7201–7250 of 10752 papers

TitleStatusHype
Still not systematic after all these years: On the compositional skills of sequence-to-sequence recurrent networks—0
Stochastic Bi-Languages to model Dialogs—0
Story Generation from Sequence of Independent Short Descriptions—0
Strategies for Adapting Multilingual Pre-training for Domain-Specific Machine Translation—0
Strategy and Policy Learning for Non-Task-Oriented Conversational Systems—0
Strategy-Based Technology for Estimating MT Quality—0
Streaming Attention-Based Models with Augmented Memory for End-to-End Speech Recognition—0
Streaming Punctuation: A Novel Punctuation Technique Leveraging Bidirectional Context for Continuous Speech Recognition—0
Streaming Punctuation for Long-form Dictation with Transformers—0
Streamlining Translation Workflows with StyleScorer—0
String-to-Tree Multi Bottom-up Tree Transducers—0
Stripping Adjectives: Integration Techniques for Selective Stemming in SMT Systems—0
Structural and Topical Dimensions in Multi-Task Patent Translation—0
Structural Biases for Improving Transformers on Translation into Morphologically Rich Languages—0
Structural Supervision for Word Alignment and Machine Translation—0
Structural Transfer Learning in NL-to-Bash Semantic Parsers—0
Structured and Unstructured Cache Models for SMT Domain Adaptation—0
Structured Attention Networks—0
Structured-based Curriculum Learning for End-to-end English-Japanese Speech Translation—0
Structured Generation of Technical Reading Lists—0
Structured in Space, Randomized in Time: Leveraging Dropout in RNNs for Efficient Training—0
Structured Penalties for Log-Linear Language Models—0
Structured Perceptron with Inexact Search—0
Structured Ramp Loss Minimization for Machine Translation—0
Studying Post-Editese in a Professional Context: A Pilot Study—0
Studying The Impact Of Document-level Context On Simultaneous Neural Machine Translation—0
Study of the impact of proper name transliteration on the performance of word alignment in French-Arabic parallel corpora (Etude de l'impact de la translitt\'eration de noms propres sur la qualit\'e de l'alignement de mots \`a partir de corpus parall\`eles fran -arabe) [in French]—0
Study on Unsupervised Statistical Machine Translation for Backtranslation—0
Style-transfer and Paraphrase: Looking for a Sensible Semantic Similarity Metric—0
Style Transfer as Unsupervised Machine Translation—0
Stylistically User-Specific Generation—0
Stylistic Chinese Poetry Generation via Unsupervised Style Disentanglement—0
Stylistic Transfer in Natural Language Generation Systems Using Recurrent Neural Networks—0
Subcategorisation Acquisition from Raw Text for a Free Word-Order Language—0
SubCharacter Chinese-English Neural Machine Translation with Wubi encoding—0
SubCo: A Learner Translation Corpus of Human and Machine Subtitles—0
Subdialectal Differences in Sorani Kurdish—0
Subformer: A Parameter Reduced Transformer—0
Subjective and Objective Evaluation of English to Urdu Machine Translation—0
Subjectivity and Sentiment Analysis of Modern Standard Arabic and Arabic Microblogs—0
Sublexical Translations for Low-Resource Language—0
Submodularity for Data Selection in Machine Translation—0
Subsegmental language detection in Celtic language text—0
Subspace Approximation for Approximate Nearest Neighbor Search in NLP—0
Substring-based unsupervised transliteration with phonetic and contextual knowledge—0
Substring Frequency Features for Segmentation of Japanese Katakana Words with Unlabeled Corpora—0
Subword Embedding from Bytes Gains Privacy without Sacrificing Accuracy and Complexity—0
Subword Regularization: An Analysis of Scalability and Generalization for End-to-End Automatic Speech Recognition—0
Subword Segmentation and a Single Bridge Language Affect Zero-Shot Neural Machine Translation—0
Suffix Trees as Language 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