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 2401–2450 of 10752 papers

TitleStatusHype
A Simple and Strong Baseline: NAIST-NICT Neural Machine Translation System for WAT2017 English-Japanese Translation Task—0
Combining Seemingly Incompatible Corpora for Implicit Semantic Role Labeling—0
Combining Quality Prediction and System Selection for Improved Automatic Translation Output—0
A Simple and General Strategy for Referential Problem in Low-Resource Neural Machine Translation—0
Alignment-free Cross-lingual Semantic Role Labeling—0
Adaptive HTER Estimation for Document-Specific MT Post-Editing—0
A Character-Aware Encoder for Neural Machine Translation—0
Combining Quality Estimation and Automatic Post-editing to Enhance Machine Translation output—0
Combining Punctuation and Disfluency Prediction: An Empirical Study—0
A Simple and Effective Unified Encoder for Document-Level Machine Translation—0
Combining Phonology and Morphology for the Normalization of Historical Texts—0
Combining PBSMT and NMT Back-translated Data for Efficient NMT—0
A Simple and Effective Method of Cross-Lingual Plagiarism Detection—0
Alignment-based sense selection in METEOR and the RATATOUILLE recipe—0
Combining Multiple Alignments to Improve Machine Translation—0
Combining Local and Document-Level Context: The LMU Munich Neural Machine Translation System at WMT19—0
A Simple and Effective Approach to Coverage-Aware Neural Machine Translation—0
Combining Human Inputters and Language Services to provide Multi-language support system for International Symposiums—0
Combining Global Sparse Gradients with Local Gradients in Distributed Neural Network Training—0
Alignment-based reordering for SMT—0
Adaptive Few-shot Prompting for Machine Translation with Pre-trained Language Models—0
Combining fast\_align with Hierarchical Sub-sentential Alignment for Better Word Alignments—0
Combining EBMT, SMT, TM and IR Technologies for Quality and Scale—0
Combining Domain Adaptation Approaches for Medical Text Translation—0
Combining Concepts and Their Translations from Structured Dictionaries of Uralic Minority Languages—0
Alignment-Based Neural Machine Translation—0
Combining Compositionality and Pagerank for the Identification of Semantic Relations between Biomedical Words—0
Combining Coherence Models and Machine Translation Evaluation Metrics for Summarization Evaluation—0
A Shift-Reduce Parsing Algorithm for Phrase-based String-to-Dependency Translation—0
Combining Character and Word Information in Neural Machine Translation Using a Multi-Level Attention—0
Combining Bilingual and Comparable Corpora for Low Resource Machine Translation—0
A Shared Task on Multimodal Machine Translation and Crosslingual Image Description—0
Align Me: A framework to generate Parallel Corpus Using OCRs and Bilingual Dictionaries—0
Adaptive Clustering for Coreference Resolution with Deterministic Rules and Web-Based Language Models—0
A Challenge Set for French --> English Machine Translation—0
A Beam-Search Decoder for Disfluency Detection—0
Combining, Adapting and Reusing Bi-texts between Related Languages: Application to Statistical Machine Translation (invited talk)—0
Combination of Statistical and Neural Machine Translation for Myanmar-English—0
Combination of Neural Machine Translation Systems at WMT20—0
A Shared Task on Bandit Learning for Machine Translation—0
Colloquial Persian POS (CPPOS) Corpus: A Novel Corpus for Colloquial Persian Part of Speech Tagging—0
Collocation or Free Combination? --- Applying Machine Translation Techniques to identify collocations in Japanese—0
A Sentence Meaning Based Alignment Method for Parallel Text Corpora Preparation—0
Collective Wisdom: Improving Low-resource Neural Machine Translation using Adaptive Knowledge Distillation—0
A Sense-Based Translation Model for Statistical Machine Translation—0
Aligning Subtitles in Sign Language Videos—0
Collection of a Large Database of French-English SMT Output Corrections—0
Collection and Annotation of the Romanian Legal Corpus—0
A Semi-Supervised BERT Approach for Arabic Named Entity Recognition—0
Collecting Natural SMS and Chat Conversations in Multiple Languages: The BOLT Phase 2 Corpus—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
5AdminBLEU score43.8—Unverified
6Transformer (ADMIN init)BLEU 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