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 7101–7150 of 10752 papers

TitleStatusHype
Neural machine translation for low-resource languages—0
Natural Language Processing: State of The Art, Current Trends and ChallengesCode0
Cross-lingual Entity Alignment via Joint Attribute-Preserving EmbeddingCode0
Dialogue Act Segmentation for Vietnamese Human-Human Conversational Texts—0
Statistical Vs Rule Based Machine Translation; A Case Study on Indian Language Perspective—0
Neural and Statistical Methods for Leveraging Meta-information in Machine Translation—0
Neural Machine Translation Leveraging Phrase-based Models in a Hybrid Search—0
Memory-augmented Neural Machine Translation—0
Translating Phrases in Neural Machine Translation—0
A Syllable-based Technique for Word Embeddings of Korean Words—0
Neural Machine Translation with Word Predictions—0
Exploiting Linguistic Resources for Neural Machine Translation Using Multi-task Learning—0
The UMD Neural Machine Translation Systems at WMT17 Bandit Learning Task—0
The University of Edinburgh's Neural MT Systems for WMT17—0
Dynamic Data Selection for Neural Machine TranslationCode0
SemEval-2017 Task 1: Semantic Textual Similarity Multilingual and Crosslingual Focused Evaluation—0
Deep Learning Models For Multiword Expression Identification—0
Experiments on Morphological Reinflection: CoNLL-2017 Shared Task—0
Detecting Cross-Lingual Semantic Divergence for Neural Machine Translation—0
Sentence Alignment using Unfolding Recursive Autoencoders—0
Learning from Relatives: Unified Dialectal Arabic Segmentation—0
Cross-language Learning with Adversarial Neural Networks—0
Cost Weighting for Neural Machine Translation Domain Adaptation—0
Morphological Inflection Generation with Multi-space Variational Encoder-Decoders—0
Finding Structure in Figurative Language: Metaphor Detection with Topic-based Frames—0
Lump at SemEval-2017 Task 1: Towards an Interlingua Semantic Similarity—0
Learned in Translation: Contextualized Word VectorsCode0
A parallel collection of clinical trials in Portuguese and English—0
FCICU at SemEval-2017 Task 1: Sense-Based Language Independent Semantic Textual Similarity Approach—0
Plan, Attend, Generate: Character-Level Neural Machine Translation with Planning—0
BIT at SemEval-2017 Task 1: Using Semantic Information Space to Evaluate Semantic Textual Similarity—0
Machine Translation and Automated Analysis of the Sumerian Language—0
Event Detection and Semantic Storytelling: Generating a Travelogue from a large Collection of Personal Letters—0
Learning Bilingual Projections of Embeddings for Vocabulary Expansion in Machine Translation—0
Seq2seq for Morphological Reinflection: When Deep Learning Fails—0
ResSim at SemEval-2017 Task 1: Multilingual Word Representations for Semantic Textual Similarity—0
Delexicalized transfer parsing for low-resource languages using transformed and combined treebanks—0
Attention-based Recurrent Convolutional Neural Network for Automatic Essay Scoring—0
Overview of the Second BUCC Shared Task: Spotting Parallel Sentences in Comparable Corpora—0
Personality Driven Differences in Paraphrase Preference—0
Proceedings of the First Workshop on Neural Machine Translation—0
Distantly Supervised POS Tagging of Low-Resource Languages under Extreme Data Sparsity: The Case of Hittite—0
On the ``Calligraphy'' of Books—0
Parsing Graphs with Regular Graph Grammars—0
Spectral Graph-Based Method of Multimodal Word Embedding—0
Character Sequence-to-Sequence Model with Global Attention for Universal Morphological Reinflection—0
HCCL at SemEval-2017 Task 2: Combining Multilingual Word Embeddings and Transliteration Model for Semantic Similarity—0
HCTI at SemEval-2017 Task 1: Use convolutional neural network to evaluate Semantic Textual Similarity—0
SemEval-2017 Task 9: Abstract Meaning Representation Parsing and Generation—0
RTM at SemEval-2017 Task 1: Referential Translation Machines for Predicting Semantic Similarity—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