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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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 5651–5700 of 10752 papers

TitleStatusHype
Neural machine translation system for the Kazakh language—0
Neural Machine Translation System using a Content-equivalently Translated Parallel Corpus for the Newswire Translation Tasks at WAT 2019—0
Neural Machine Translation Training in a Multi-Domain Scenario—0
Neural Machine Translation Using Extracted Context Based on Deep Analysis for the Japanese-English Newswire Task at WAT 2020—0
Neural Machine Translation via Binary Code Prediction—0
Neural Machine Translation with 4-Bit Precision and Beyond—0
Neural Machine Translation with Adequacy-Oriented Learning—0
Neural Machine Translation with Decoding History Enhanced Attention—0
Neural Machine Translation with Dynamic Graph Convolutional Decoder—0
Neural Machine Translation with Explicit Phrase Alignment—0
Neural Machine Translation with Extended Context—0
Neural Machine Translation with External Phrase Memory—0
Neural Machine Translation with Gumbel-Greedy Decoding—0
Neural Machine Translation with Inflected Lexicon—0
Neural Machine Translation with Key-Value Memory-Augmented Attention—0
Neural Machine Translation with Latent Semantic of Image and Text—0
Neural Machine Translation with Noisy Lexical Constraints—0
Neural Machine Translation with Pivot Languages—0
Neural Machine Translation with Recurrent Attention Modeling—0
Neural Machine Translation with Reordering Embeddings—0
Neural Machine Translation with Source Dependency Representation—0
Neural Machine Translation with Source-Side Latent Graph Parsing—0
Neural Machine Translation with Supervised Attention—0
Neural Machine Translation with Synchronous Latent Phrase Structure—0
Neural Machine Translation with the Transformer and Multi-Source Romance Languages for the Biomedical WMT 2018 task—0
Neural Machine Translation with Word Predictions—0
Neural Metaphor Detecting with CNN-LSTM Model—0
Neural Monkey: The Current State and Beyond—0
Neural Morphological Analysis: Encoding-Decoding Canonical Segments—0
Neural Morphological Tagging of Lemma Sequences for Machine Translation—0
Neural Name Translation Improves Neural Machine Translation—0
Neural Network Architectures for Arabic Dialect Identification—0
Neural Network Based Bilingual Language Model Growing for Statistical Machine Translation—0
Neural Network-Based Model for Japanese Predicate Argument Structure Analysis—0
Neural Network Language Models for Candidate Scoring in Hybrid Multi-System Machine Translation—0
Neural Networks for Multi-Word Expression Detection—0
Neural Networks For Negation Scope Detection—0
Neural Networks in a Product of Hyperbolic Spaces—0
Neural Network Transduction Models in Transliteration Generation—0
Neural Optimizer Search using Reinforcement Learning—0
Neural Paraphrase Generation using Transfer Learning—0
Neural Phrase-to-Phrase Machine Translation—0
Neural Poetry Translation—0
Neural Polysynthetic Language Modelling—0
Neural Post-Editing Based on Quality Estimation—0
Neural Pre-Translation for Hybrid Machine Translation—0
Neural Probabilistic Language Model for System Combination—0
Neural Program Planner for Structured Predictions—0
Neural Proto-Language Reconstruction—0
Neural Reordering Model Considering Phrase Translation and Word Alignment for Phrase-based Translation—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