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 2651–2700 of 10752 papers

TitleStatusHype
AraFinNLP 2024: The First Arabic Financial NLP Shared Task—0
Character-Based Pivot Translation for Under-Resourced Languages and Domains—0
Character-based Neural Machine Translation—0
AraDiCE: Benchmarks for Dialectal and Cultural Capabilities in LLMs—0
A Large-Scale Study of Machine Translation in the Turkic Languages—0
Character-based Neural Machine Translation—0
Character-based Neural Machine Translation—0
Arabizi vs LLMs: Can the Genie Understand the Language of Aladdin?—0
Character-based Decoding in Tree-to-Sequence Attention-based Neural Machine Translation—0
Character-Aware Neural Networks for Arabic Named Entity Recognition for Social Media—0
Arabic Textual Entailment with Word Embeddings—0
A Large-Scale Evaluation of Pre-editing Strategies for Improving User-Generated Content Translation—0
Adapting Grammatical Error Correction Based on the Native Language of Writers with Neural Network Joint Models—0
Character-Aware Decoder for Translation into Morphologically Rich Languages—0
Character and Subword-Based Word Representation for Neural Language Modeling Prediction—0
Character Alignment in Morphologically Complex Translation Sets for Related Languages—0
Challenging Language-Dependent Segmentation for Arabic: An Application to Machine Translation and Part-of-Speech Tagging—0
Arabic-Segmentation Combination Strategies for Statistical Machine Translation—0
Challenges of Neural Machine Translation for Short Texts—0
Challenges of Computational Processing of Code-Switching—0
Arabic-English Text Translation Leveraging Hybrid NER—0
Challenges of Building Domain-Specific Parallel Corpora from Public Administration Documents—0
Challenges in Translation of Emotions in Multilingual User-Generated Content: Twitter as a Case Study—0
Arabic-English Semantic Word Class Alignment to Improve Statistical Machine Translation—0
A Large Parallel Corpus of Full-Text Scientific Articles—0
Adapting Entities across Languages and Cultures—0
Accurate Online Posterior Alignments for Principled Lexically-Constrained Decoding—0
A Bayesian model for joint word alignment and part-of-speech transfer—0
An Empirical Study of Generation Order for Machine Translation—0
Challenges in Speech Recognition and Translation of High-Value Low-Density Polysynthetic Languages—0
Challenges in Creating a Multilingual Sentiment Analysis Application for Social Media Mining—0
Arabic Dialect Processing Tutorial—0
Challenges in Adaptive Neural Machine Translation—0
Arabic Dialect Identification Using iVectors and ASR Transcripts—0
A Large Automatically-Acquired All-Words List of Multiword Expressions Scored for Compositionality—0
Challenges and Solutions for Latin Named Entity Recognition—0
Challenges and Perspectives for Innu-Aimun within Indigenous Language Technologies—0
Arabic Dialect Identification in the Context of Bivalency and Code-Switching—0
ChakmaNMT: A Low-resource Machine Translation On Chakma Language—0
Arabic Dialect Identification in Speech Transcripts—0
A language processing algorithm for predicting tactical solutions to an operational planning problem under uncertainty—0
Adapting a State-of-the-Art Tagger for South Slavic Languages to Non-Standard Text—0
CFT13: A resource for research into the post-editing process—0
Central Yup'ik and Machine Translation of Low-Resource Polysynthetic Languages—0
Central Kurdish machine translation: First large scale parallel corpus and experiments—0
AraBench: Benchmarking Dialectal Arabic-English Machine Translation—0
A Language-Independent Feature Schema for Inflectional Morphology—0
cEnTam: Creation and Validation of a New English-Tamil Bilingual Corpus—0
层次化结构全局上下文增强的篇章级神经机器翻译(Hierarchical Global Context Augmented Document-level Neural Machine Translation)—0
A Quantitative Insight into the Impact of Translation on Readability—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