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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 4651–4700 of 10752 papers

TitleStatusHype
Being Generous with Sub-Words towards Small NMT Children—0
The Competitiveness Analysis of the European Language Technology Market—0
MEDLINE as a Parallel Corpus: a Survey to Gain Insight on French-, Spanish- and Portuguese-speaking Authors' Abstract Writing Practice—0
Benchmarking Data-driven Automatic Text Simplification for German—0
LMU Bilingual Dictionary Induction System with Word Surface Similarity Scores for BUCC 2020—0
A Visually-Grounded Parallel Corpus with Phrase-to-Region Linking—0
The Austrian Language Resource Portal for the Use and Provision of Language Resources in a Language Variety by Public Administration -- a Showcase for Collaboration between Public Administration and a University—0
Benchmarking Neural and Statistical Machine Translation on Low-Resource African Languages—0
On the Exploration of English to Urdu Machine Translation—0
Paraphrase Generation and Evaluation on Colloquial-Style Sentences—0
Multilingual Dictionary Based Construction of Core Vocabulary—0
Eco.pangeamt: Industrializing Neural MT—0
Utterance-Unit Annotation for the JSL Dialogue Corpus: Toward a Multimodal Approach to Corpus Linguistics—0
To Case or not to case: Evaluating Casing Methods for Neural Machine Translation—0
Towards Creating Interoperable Resources for Conceptual Annotation of Multilingual Domain Corpora—0
Towards a Spell Checker for Zamboanga Chavacano Orthography—0
The Learnability of the Annotated Input in NMT Replicating (Vanmassenhove and Way, 2018) with OpenNMT—0
The Nunavut Hansard Inuktitut--English Parallel Corpus 3.0 with Preliminary Machine Translation Results—0
Vocabulary Adaptation for Distant Domain Adaptation in Neural Machine Translation—0
Breaking (Global) Barriers in Parallel Stochastic Optimization with Wait-Avoiding Group Averaging—0
Recipes for Adapting Pre-trained Monolingual and Multilingual Models to Machine Translation—0
End-to-End Neural Word Alignment Outperforms GIZA++—0
Semi-Supervised Text Simplification with Back-Translation and Asymmetric Denoising Autoencoders—0
Addressing Zero-Resource Domains Using Document-Level Context in Neural Machine Translation—0
Bridging Linguistic Typology and Multilingual Machine Translation with Multi-View Language RepresentationsCode0
Rethinking Coherence Modeling: Synthetic vs. Downstream Tasks—0
Accurate Word Alignment Induction from Neural Machine TranslationCode0
Can Your Context-Aware MT System Pass the DiP Benchmark Tests? : Evaluation Benchmarks for Discourse Phenomena in Machine Translation—0
Capsule-Transformer for Neural Machine Translation—0
A Study in Improving BLEU Reference Coverage with Diverse Automatic ParaphrasingCode0
Character-Level Translation with Self-attention—0
A Call for More Rigor in Unsupervised Cross-lingual Learning—0
Learning Non-Monotonic Automatic Post-Editing of Translations from Human OrderingsCode0
Multiscale Collaborative Deep Models for Neural Machine TranslationCode0
Automatically Identifying Gender Issues in Machine Translation using Perturbations—0
Syntax-aware Data Augmentation for Neural Machine Translation—0
Self-Attention with Cross-Lingual Position Representation—0
Assessing the Bilingual Knowledge Learned by Neural Machine Translation Models—0
Scheduled DropHead: A Regularization Method for Transformer ModelsCode0
The Explanation Game: Towards Prediction Explainability through Sparse CommunicationCode0
BLEU Neighbors: A Reference-less Approach to Automatic Evaluation—0
Neural Machine Translation with Monte-Carlo Tree SearchCode0
Jointly Trained Transformers models for Spoken Language Translation—0
Practical Comparable Data Collection for Low-Resource Languages via ImagesCode0
On Sparsifying Encoder Outputs in Sequence-to-Sequence Models—0
Multiple Segmentations of Thai Sentences for Neural Machine Translation—0
Correct Me If You Can: Learning from Error Corrections and MarkingsCode0
Testing Machine Translation via Referential Transparency—0
Syntactic Structure from Deep Learning—0
A Study of Non-autoregressive Model for Sequence Generation—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