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 8151–8200 of 10752 papers

TitleStatusHype
Discontinuous Verb Phrases in Parsing and Machine Translation of English and German—0
Towards producing bilingual lexica from monolingual corpora—0
Uzbek-English and Turkish-English Morpheme Alignment Corpora—0
Issues and Challenges in Annotating Urdu Action Verbs on the IMAGACT4ALL Platform—0
Tools and Guidelines for Principled Machine Translation Development—0
Word Sense-Aware Machine Translation: Including Senses as Contextual Features for Improved Translation Models—0
Cross-lingual RDF Thesauri Interlinking—0
Translation Errors and Incomprehensibility: a Case Study using Machine-Translated Second Language Proficiency Tests—0
A Bilingual Discourse Corpus and Its Applications—0
Using the TED Talks to Evaluate Spoken Post-editing of Machine Translation—0
Using SMT for OCR Error Correction of Historical Texts—0
SubCo: A Learner Translation Corpus of Human and Machine Subtitles—0
ASPEC: Asian Scientific Paper Excerpt Corpus—0
A Rule-based Shallow-transfer Machine Translation System for Scots and English—0
Syntax-based Multi-system Machine Translation—0
Providing a Catalogue of Language Resources for Commercial Users—0
PROTEST: A Test Suite for Evaluating Pronouns in Machine Translation—0
The ILMT-s2s Corpus ― A Multimodal Interlingual Map Task Corpus—0
Extracting Structured Scholarly Information from the Machine Translation Literature—0
Paraphrasing Out-of-Vocabulary Words with Word Embeddings and Semantic Lexicons for Low Resource Statistical Machine Translation—0
CATaLog Online: Porting a Post-editing Tool to the Web—0
Evaluating Machine Translation in a Usage Scenario—0
Using BabelNet to Improve OOV Coverage in SMT—0
Building a Corpus of Errors and Quality in Machine Translation: Experiments on Error Impact—0
Using a Cross-Language Information Retrieval System based on OHSUMED to Evaluate the Moses and KantanMT Statistical Machine Translation Systems—0
Enhancing Access to Online Education: Quality Machine Translation of MOOC Content—0
Name Translation based on Fine-grained Named Entity Recognition in a Single Language—0
Use of Domain-Specific Language Resources in Machine Translation—0
The Trials and Tribulations of Predicting Post-Editing Productivity—0
The Denoised Web Treebank: Evaluating Dependency Parsing under Noisy Input Conditions—0
Linguistically Inspired Language Model Augmentation for MT—0
Lexical Resources to Enrich English Malayalam Machine Translation—0
Sentiment Lexicons for Arabic Social Media—0
IRIS: English-Irish Machine Translation System—0
A Novel Approach to Dropped Pronoun Translation—0
Chinese Song Iambics Generation with Neural Attention-based Model—0
Dialog-based Language Learning—0
Speed-Constrained Tuning for Statistical Machine Translation Using Bayesian Optimization—0
Annotation Order Matters: Recurrent Image Annotator for Arbitrary Length Image TaggingCode0
Parallelizing Word2Vec in Shared and Distributed Memory—0
TGIF: A New Dataset and Benchmark on Animated GIF DescriptionCode0
Transfer Learning for Low-Resource Neural Machine TranslationCode0
Character-Level Neural Translation for Multilingual Media Monitoring in the SUMMA ProjectCode0
Achieving Open Vocabulary Neural Machine Translation with Hybrid Word-Character ModelsCode0
Neural Language Correction with Character-Based AttentionCode1
Neural Attention Models for Sequence Classification: Analysis and Application to Key Term Extraction and Dialogue Act Detection—0
Prepositional Attachment Disambiguation Using Bilingual Parsing and Alignments—0
Pointing the Unknown Words—0
How NOT To Evaluate Your Dialogue System: An Empirical Study of Unsupervised Evaluation Metrics for Dialogue Response GenerationCode0
Multi-domain machine translation enhancements by parallel data extraction from comparable corpora—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