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 2251–2300 of 10752 papers

TitleStatusHype
Cross-Lingual IPA Contrastive Learning for Zero-Shot NER—0
Cross-Lingual Mixture Model for Sentiment Classification—0
Cross-lingual RDF Thesauri Interlinking—0
Cross-lingual Word Clusters for Direct Transfer of Linguistic Structure—0
CUNI System for the WMT18 Multimodal Translation Task—0
Automatic classification of semantic patterns from the Pattern Dictionary of English Verbs—0
Automatic Classification of Human Translation and Machine Translation: A Study from the Perspective of Lexical Diversity—0
An Automatic Machine Translation Evaluation Metric Based on Dependency Parsing Model—0
Automatic Building and Using Parallel Resources for SMT from Comparable Corpora—0
Automatic Bilingual Phrase Extraction from Comparable Corpora—0
An Automatic Evaluation of the WMT22 General Machine Translation Task—0
A Discriminative Graph-Based Parser for the Abstract Meaning Representation—0
Automatic Bilingual Phrase Dictionary Construction from GIZA++ Output—0
An Augmented Translation Technique for low Resource language pair: Sanskrit to Hindi translation—0
A Discourse-Annotated Corpus of Conjoined VPs—0
Automatic Arabic Dialect Identification Systems for Written Texts: A Survey—0
Automatic Annotation of Machine Translation Datasets with Binary Quality Judgements—0
A Natural Diet: Towards Improving Naturalness of Machine Translation Output—0
A Comparison of MT Methods for Closely Related Languages: a Case Study on Czech - Slovak Language Pair—0
Cross-lingual Dependency Parsing of Related Languages with Rich Morphosyntactic Tagsets—0
Automatic Annotation of Genitives in Hindi Treebank—0
Automatic Animacy Classification—0
A Natural Diet: Towards Improving Naturalness of Machine Translation Output—0
Automatically Tailoring Unsupervised Morphological Segmentation to the Language—0
Automatically Predicting Sentence Translation Difficulty—0
A Natural Bias for Language Generation Models—0
A Dictionary-Based Approach for Evaluating Orthographic Methods in Cognates Identification—0
Automatically Identifying Gender Issues in Machine Translation using Perturbations—0
Automatically Generating Commit Messages from Diffs using Neural Machine Translation—0
An Approach Using Style Classification Features for Quality Estimation—0
An Approach to Take Multi-Word Expressions—0
Automatically generated NE tagged corpora for English and Hungarian—0
A Diagnostic Evaluation Approach Targeting MT Systems for Indian Languages—0
A Comparison of MT Errors and ESL Errors—0
Abstractive Sentence Summarization with Attentive Recurrent Neural Networks—0
Cross-Lingual Dependency Parsing with Universal Dependencies and Predicted PoS Labels—0
Automatically Extracting Variant-Normalization Pairs for Japanese Text Normalization—0
Automatically extracting the semantic network out of public services to support cities becoming Smart Cities—0
An Approach to Discourse Parsing using Sangati and Rhetorical Structure Theory—0
Automatically Extracting Challenge Sets for Non-Local Phenomena in Neural Machine Translation—0
An Approach of Hybrid Hierarchical Structure for Word Similarity Computing by HowNet—0
A Detailed Evaluation of Neural Sequence-to-Sequence Models for In-domain and Cross-domain Text Simplification—0
Conditioning LLMs with Emotion in Neural Machine Translation—0
An approach for mistranslation removal from popular dataset for Indic MT Task—0
Automated Translation of a Literary Work: A Pilot Study—0
A Description of Tunable Machine Translation Evaluation Systems in WMT13 Metrics Task—0
Automated Text Simplification as a Preprocessing Step for Machine Translation into an Under-resourced Language—0
Automated Simultaneous Interpretation: Hints of a Cognitive Framework for Machine Translation—0
Anaphora Resolution for Machine Translation (R\'esolution d'anaphores et traitement des pronoms en traduction automatique \`a base de r\`egles) [in French]—0
A Comparison of Machine Translation Paradigms for Use in Black-Box Fuzzy-Match Repair—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