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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 8051–8100 of 10752 papers

TitleStatusHype
An efficiency dependency parser using hybrid approach for tamil language—0
An Efficient and Effective Online Sentence Segmenter for Simultaneous Interpretation—0
An efficient and user-friendly tool for machine translation quality estimation—0
An Efficient Annotation for Phrasal Verbs using Dependency Information—0
An Efficient Approach for Machine Translation on Low-resource Languages: A Case Study in Vietnamese-Chinese—0
An Efficient Cross-lingual Model for Sentence Classification Using Convolutional Neural Network—0
An Efficient Database Design for IndoWordNet Development Using Hybrid Approach—0
An efficient language independent toolkit for complete morphological disambiguation—0
An Efficient Language Model Using Double-Array Structures—0
An Efficient Technique for De-Noising Sentences using Monolingual Corpus and Synonym Dictionary—0
An Efficient Transformer Decoder with Compressed Sub-layers—0
An Empirical Accuracy Law for Sequential Machine Translation: the Case of Google Translate—0
An Empirical Analysis of NMT-Derived Interlingual Embeddings and their Use in Parallel Sentence Identification—0
An empirical analysis of phrase-based and neural machine translation—0
An Empirical Assessment of Contemporary Online Media in Ad-Hoc Corpus Creation for Social Events—0
An Empirical Comparison Between N-gram and Syntactic Language Models for Word Ordering—0
An Empirical Comparison of Domain Adaptation Methods for Neural Machine Translation—0
An Empirical Comparison of Features and Tuning for Phrase-based Machine Translation—0
An Empirical Comparison of Simple Domain Adaptation Methods for Neural Machine Translation—0
An Empirical Evaluation of Noise Contrastive Estimation for the Neural Network Joint Model of Translation—0
An Empirical Evaluation of Stop Word Removal in Statistical Machine Translation—0
An Empirical Exploration of Curriculum Learning for Neural Machine Translation—0
An Empirical Investigation into Learning Bug-Fixing Patches in the Wild via Neural Machine Translation—0
An Empirical Investigation into the Use of Image Captioning for Automated Software Documentation—0
An Empirical Investigation of Global and Local Normalization for Recurrent Neural Sequence Models Using a Continuous Relaxation to Beam Search—0
An Empirical Investigation of Statistical Significance in NLP—0
An Empirical Investigation of Word Alignment Supervision for Zero-Shot Multilingual Neural Machine Translation—0
An Empirical Study of Adequate Vision Span for Attention-Based Neural Machine Translation—0
An Empirical Study of Automatic Chinese Word Segmentation for Spoken Language Understanding and Named Entity Recognition—0
An Empirical Study of Automatic Post-Editing—0
An Empirical Study of Contextual Data Augmentation for Japanese Zero Anaphora Resolution—0
An Empirical Study of Diversity of Word Alignment and its Symmetrization Techniques for System Combination—0
An Empirical Study of Document-to-document Neural Machine Translation—0
Revisiting Simple Domain Adaptation Methods in Unsupervised Neural Machine Translation—0
An Empirical Study of Language Relatedness for Transfer Learning in Neural Machine Translation—0
An Empirical Study of Leveraging Knowledge Distillation for Compressing Multilingual Neural Machine Translation Models—0
An Empirical Study of Machine Translation for the Shared Task of WMT18—0
An Empirical Study of Mini-Batch Creation Strategies for Neural Machine Translation—0
An Empirical Study of the Impact of Idioms on Phrase Based Statistical Machine Translation of English to Brazilian-Portuguese—0
An Empirical study of Unsupervised Neural Machine Translation: analyzing NMT output, model's behavior and sentences' contribution—0
An empirical study on the effectiveness of images in Multimodal Neural Machine Translation—0
An Encoder-Decoder Framework Translating Natural Language to Database Queries—0
An End-to-end Approach to Learning Semantic Frames with Feedforward Neural Network—0
End-to-End Video Captioning—0
An End-to-End Chinese Discourse Parser with Adaptation to Explicit and Non-explicit Relation Recognition—0
An end-to-end Generative Retrieval Method for Sponsored Search Engine --Decoding Efficiently into a Closed Target Domain—0
An English-Portuguese parallel corpus of questions: translation guidelines and application in SMT—0
An English-Swahili parallel corpus and its use for neural machine translation in the news domain—0
An Ensemble Approach to Question Classification: Integrating Electra Transformer, GloVe, and LSTM—0
An Entity-Centric Coreference Resolution System for Person Entities with Rich Linguistic Information—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