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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 3051–3100 of 10752 papers

TitleStatusHype
DOLFIN -- Document-Level Financial test set for Machine Translation—0
Do LLMs Recognize me, When I is not me: Assessment of LLMs Understanding of Turkish Indexical Pronouns in Indexical Shift Contexts—0
Creating and using large monolingual parallel corpora for sentential paraphrase generation—0
Dolphin: A Challenging and Diverse Benchmark for Arabic NLG—0
Domain Adaptation and Attention-Based Unknown Word Replacement in Chinese-to-Japanese Neural Machine Translation—0
Domain Adaptation and Multi-Domain Adaptation for Neural Machine Translation: A Survey—0
Domain Adaptation for Arabic Machine Translation: The Case of Financial Texts—0
Domain Adaptation for Hindi-Telugu Machine Translation Using Domain Specific Back Translation—0
Domain Adaptation for Medical Text Translation using Web Resources—0
Domain Adaptation for Neural Machine Translation—0
Domain Adaptation for NMT via Filtered Iterative Back-Translation—0
Domain Adaptation for Statistical Machine Translation—0
Creating a massively parallel Bible corpus—0
Domain Adaptation of Machine Translation with Crowdworkers—0
Domain Adaptation of NMT models for English-Hindi Machine Translation Task at AdapMT ICON 2020—0
Domain Adaptation of NMT models for English-Hindi Machine Translation Task : AdapMT Shared Task ICON 2020—0
Attention for Implicit Discourse Relation Recognition—0
A Comparative Study of Text Retrieval Models on DaReCzech—0
Effective Parallel Corpus Mining using Bilingual Sentence Embeddings—0
Domain Curricula for Code-Switched MT at MixMT 2022—0
Attention Forcing for Sequence-to-sequence Model Training—0
CREAMT: Creativity and narrative engagement of literary texts translated by translators and NMT—0
Addressing the Representation Bottleneck in Neural Machine Translation with Lexical Shortcuts—0
Domain Informed Neural Machine Translation: Developing Translation Services for Healthcare Enterprise—0
Domain Mismatch Doesn't Always Prevent Cross-Lingual Transfer Learning—0
Domain Mismatch Doesn’t Always Prevent Cross-lingual Transfer Learning—0
Bilex Rx: Lexical Data Augmentation for Massively Multilingual Machine Translation—0
Domain specialization: a post-training domain adaptation for Neural Machine Translation—0
Domain-Specific Machine Translation to Translate Medicine Brochures in English to Sorani Kurdish—0
Domain-specific MT for Low-resource Languages: The case of Bambara-French—0
CRAT: A Multi-Agent Framework for Causality-Enhanced Reflective and Retrieval-Augmented Translation with Large Language Models—0
Domain-Specific Paraphrase Extraction—0
Domain Specific Sub-network for Multi-Domain Neural Machine Translation—0
Crafting a Good Prompt or Providing Exemplary Dialogues? A Study of In-Context Learning for Persona-based Dialogue Generation—0
Domain-Specific Translation with Open-Source Large Language Models: Resource-Oriented Analysis—0
Domain Terminology Integration into Machine Translation: Leveraging Large Language Models—0
Domain, Translationese and Noise in Synthetic Data for Neural Machine Translation—0
Analysing Coreference in Transformer Outputs—0
Do Multilingual Neural Machine Translation Models Contain Language Pair Specific Attention Heads?—0
Bilingual Dictionary-based Language Model Pretraining for Neural Machine Translation—0
Effective Incorporation of Source Syntax into Hierarchical Phrase-based Translation—0
Don't Believe Everything You Read: Enhancing Summarization Interpretability through Automatic Identification of Hallucinations in Large Language Models—0
Don't Classify, Translate: Multi-Level E-Commerce Product Categorization Via Machine Translation—0
Bilingual Dictionary Construction with Transliteration Filtering—0
Don’t Go Far Off: An Empirical Study on Neural Poetry Translation—0
Bilingual Embeddings and Word Alignments for Translation Quality Estimation—0
Don't Rank, Combine! Combining Machine Translation Hypotheses Using Quality Estimation—0
Don't Rule Out Monolingual Speakers: A Method For Crowdsourcing Machine Translation Data—0
Bilingual English-Czech Valency Lexicon Linked to a Parallel Corpus—0
Crafting Adversarial Examples for Neural Machine Translation—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