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 7601–7650 of 10752 papers

TitleStatusHype
Character-Aware Neural Networks for Arabic Named Entity Recognition for Social Media—0
Parallel Sentence Compression—0
Capturing Pragmatic Knowledge in Article Usage Prediction using LSTMs—0
Semantically Motivated Hebrew Verb-Noun Multi-Word Expressions Identification—0
Factored Neural Machine Translation Architectures—0
Fast Collocation-Based Bayesian HMM Word Alignment—0
Faster and Lighter Phrase-based Machine Translation Baseline—0
Extending WordNet with Fine-Grained Collocational Information via Supervised Distributional Learning—0
CATaLog Online: A Web-based CAT Tool for Distributed Translation with Data Capture for APE and Translation Process Research—0
Fast Gated Neural Domain Adaptation: Language Model as a Case Study—0
Adaptation and Combination of NMT Systems: The KIT Translation Systems for IWSLT 2016—0
FBK’s Neural Machine Translation Systems for IWSLT 2016—0
Exploring Distributional Representations and Machine Translation for Aspect-based Cross-lingual Sentiment Classification.—0
The MITLL-AFRL IWSLT 2016 Systems—0
Translation Using JAPIO Patent Corpora: JAPIO at WAT2016—0
Using Linguistic Data for English and Spanish Verb-Noun Combination Identification—0
Universal Reordering via Linguistic Typology—0
Towards Deep Learning in Hindi NER: An approach to tackle the Labelled Data Sparsity—0
Twitter Named Entity Extraction and Linking Using Differential Evolution—0
The IMAGACT4ALL Ontology of Animated Images: Implications for Theoretical and Machine Translation of Action Verbs from English-Indian Languages—0
Topic-Informed Neural Machine Translation—0
Verbframator:Semi-Automatic Verb Frame Annotator Tool with Special Reference to Marathi—0
Verb sense disambiguation in Machine Translation—0
Zero-resource Dependency Parsing: Boosting Delexicalized Cross-lingual Transfer with Linguistic Knowledge—0
Using Bilingual Segments in Generating Word-to-word Translations—0
Two-Step MT: Predicting Target Morphology—0
The RWTH Aachen Machine Translation System for IWSLT 2016—0
UFAL Submissions to the IWSLT 2016 MT Track—0
The UMD Machine Translation Systems at IWSLT 2016: English-to-French Translation of Speech Transcripts—0
Unsupervised Stemmer for Arabic Tweets—0
Using Ambiguity Detection to Streamline Linguistic Annotation—0
Translationese: Between Human and Machine Translation—0
What Makes Word-level Neural Machine Translation Hard: A Case Study on English-German Translation—0
The IWSLT 2016 Evaluation Campaign—0
A Simple, Fast Diverse Decoding Algorithm for Neural GenerationCode0
Kannada Spell Checker with Sandhi Splitter—0
Neural Machine Translation with Latent Semantic of Image and Text—0
False-Friend Detection and Entity Matching via Unsupervised Transliteration—0
Neural Machine Translation with Pivot Languages—0
Toward Multilingual Neural Machine Translation with Universal Encoder and Decoder—0
Zero-resource Machine Translation by Multimodal Encoder-decoder Network with Multimedia Pivot—0
Google's Multilingual Neural Machine Translation System: Enabling Zero-Shot TranslationCode0
Cross-lingual Dataless Classification for Languages with Small Wikipedia Presence—0
Tricks from Deep Learning—0
Increasing the throughput of machine translation systems using clouds—0
Unsupervised Pretraining for Sequence to Sequence Learning—0
The Neural Noisy Channel—0
A Convolutional Encoder Model for Neural Machine TranslationCode0
Neural Machine Translation with ReconstructionCode0
Quasi-Recurrent Neural NetworksCode0
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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