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
Image Captioning as Neural Machine Translation Task in SOCKEYE—0
Image Operation Chain Detection with Machine Translation Framework—0
IMI --- A Multilingual Semantic Annotation Environment—0
Imitation Learning for Non-Autoregressive Neural Machine Translation—0
Implementation of nlization framework for verbs, pronouns and determiners with eugene—0
Implementing a Language-Independent MT Methodology—0
Implications of Multi-Word Expressions on English to Bharti Braille Machine Translation—0
Implicitation of Discourse Connectives in (Machine) Translation—0
Implicit Discourse Relation Recognition with Context-aware Character-enhanced Embeddings—0
Implicit Distortion and Fertility Models for Attention-based Encoder-Decoder NMT Model—0
Implicitly Intersecting Weighted Automata using Dual Decomposition—0
Importance-Aware Data Augmentation for Document-Level Neural Machine Translation—0
Importance-Driven Deep Learning System Testing—0
Importance of Self-Attention for Sentiment Analysis—0
Improved Arabic Dialect Classification with Social Media Data—0
Improved Constituent Context Model with Features—0
Improved Data Augmentation for Translation Suggestion—0
Improved Decipherment of Homophonic Ciphers—0
Improved Dependency Parsing using Implicit Word Connections Learned from Unlabeled Data—0
Improved English to Hindi Multimodal Neural Machine Translation—0
Improved English to Russian Translation by Neural Suffix Prediction—0
Improved Lexically Constrained Decoding for Translation and Monolingual Rewriting—0
Improved Neural Machine Translation using Side Information—0
Improved Reordering for Phrase-Based Translation using Sparse Features—0
Improved Semantic Parsers For If-Then Statements—0
Improved Sentence-Level Arabic Dialect Classification—0
Improved statistical machine translation using monolingual paraphrases—0
Improved Training Techniques for Online Neural Machine Translation—0
Improved Variational Neural Machine Translation by Promoting Mutual Information—0
Improved Word Embeddings with Implicit Structure Information—0
Improved Zero-shot Neural Machine Translation via Ignoring Spurious Correlations—0
Improvement in Machine Translation with Generative Adversarial Networks—0
Improvement of Statistical Machine Translation using Charater-Based Segmentationwith Monolingual and Bilingual Information—0
Improvement of VerbNet-like resources by frame typing—0
Improvements to Syntax-based Machine Translation using Ensemble Dependency Parsers—0
Improve MT for Search with Selected Translation Memory using Search Signals—0
Improve Statistical Machine Translation with Context-Sensitive Bilingual Semantic Embedding Model—0
Improve the Evaluation of Fluency Using Entropy for Machine Translation Evaluation Metrics—0
Improving Alignment of System Combination by Using Multi-objective Optimization—0
Improving AMBER, an MT Evaluation Metric—0
Improving a Multi-Source Neural Machine Translation Model with Corpus Extension for Low-Resource Languages—0
Improving Anaphora Resolution in Neural Machine Translation Using Curriculum Learning—0
Improving a Neural-based Tagger for Multiword Expressions Identification—0
Improving Arabic Diacritization through Syntactic Analysis—0
Improving Attention Modeling with Implicit Distortion and Fertility for Machine Translation—0
Improving Autoregressive NLP Tasks via Modular Linearized Attention—0
Improving Autoregressive NMT with Non-Autoregressive Model—0
Improving Autoregressive Training with Dynamic Oracles—0
Improving Beam Search by Removing Monotonic Constraint for Neural Machine Translation—0
Improving Bidirectional Decoding with Dynamic Target Semantics in Neural Machine 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