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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 1501–1550 of 10752 papers

TitleStatusHype
Low-Resource Machine Translation through Retrieval-Augmented LLM Prompting: A Study on the Mambai LanguageCode0
SLPL SHROOM at SemEval2024 Task 06: A comprehensive study on models ability to detect hallucinationCode0
F-MALLOC: Feed-forward Memory Allocation for Continual Learning in Neural Machine TranslationCode0
KazQAD: Kazakh Open-Domain Question Answering DatasetCode0
Unlocking Parameter-Efficient Fine-Tuning for Low-Resource Language Translation—0
Towards Automated Movie Trailer Generation—0
Retrieving Examples from Memory for Retrieval Augmented Neural Machine Translation: A Systematic Comparison—0
An Incomplete Loop: Deductive, Inductive, and Abductive Learning in Large Language Models—0
Backdoor Attack on Multilingual Machine Translation—0
MaiNLP at SemEval-2024 Task 1: Analyzing Source Language Selection in Cross-Lingual Textual Relatedness—0
Low-resource neural machine translation with morphological modelingCode0
Optical Text Recognition in Nepali and Bengali: A Transformer-based Approach—0
HyperCLOVA X Technical Report—0
Transforming LLMs into Cross-modal and Cross-lingual Retrieval Systems—0
Towards Better Understanding of Cybercrime: The Role of Fine-Tuned LLMs in Translation—0
AAdaM at SemEval-2024 Task 1: Augmentation and Adaptation for Multilingual Semantic Textual RelatednessCode0
Finding Replicable Human Evaluations via Stable Ranking Probability—0
Advancing AI with Integrity: Ethical Challenges and Solutions in Neural Machine Translation—0
An Analysis of BPE Vocabulary Trimming in Neural Machine Translation—0
A Systematic Analysis of Subwords and Cross-Lingual Transfer in Multilingual Translation—0
Going Beyond Word Matching: Syntax Improves In-context Example Selection for Machine Translation—0
EthioMT: Parallel Corpus for Low-resource Ethiopian Languages—0
Improving Vietnamese-English Medical Machine Translation—0
LV-CTC: Non-autoregressive ASR with CTC and latent variable models—0
A Tulu Resource for Machine TranslationCode0
The Comparison of Translationese in Machine Translation and Human Transation in terms of Translation Relations—0
Large Language Models Are State-of-the-Art Evaluator for Grammatical Error Correction—0
The Impact of Syntactic and Semantic Proximity on Machine Translation with Back-Translation—0
m3P: Towards Multimodal Multilingual Translation with Multimodal Prompt—0
Cross-lingual Contextualized Phrase RetrievalCode0
The Role of n-gram Smoothing in the Age of Neural Networks—0
Synthetic Data Generation and Joint Learning for Robust Code-Mixed Translation—0
Can Machine Translation Bridge Multilingual Pretraining and Cross-lingual Transfer Learning?—0
From Handcrafted Features to LLMs: A Brief Survey for Machine Translation Quality Estimation—0
Prediction of Translation Techniques for the Translation Process—0
A Collection of Pragmatic-Similarity Judgments over Spoken Dialog UtterancesCode0
A New Massive Multilingual Dataset for High-Performance Language Technologies—0
Do Not Worry if You Do Not Have Data: Building Pretrained Language Models Using Translationese—0
Isometric Neural Machine Translation using Phoneme Count Ratio Reward-based Reinforcement Learning—0
Multi-Dimensional Machine Translation Evaluation: Model Evaluation and Resource for KoreanCode0
Self-generated Replay Memories for Continual Neural Machine TranslationCode0
Decoding Multilingual Topic Dynamics and Trend Identification through ARIMA Time Series Analysis on Social Networks: A Novel Data Translation Framework Enhanced by LDA/HDP Models—0
A Novel Paradigm Boosting Translation Capabilities of Large Language Models—0
CantonMT: Cantonese to English NMT Platform with Fine-Tuned Models Using Synthetic Back-Translation DataCode0
Pointer-Generator Networks for Low-Resource Machine Translation: Don't Copy That!Code0
MT-PATCHER: Selective and Extendable Knowledge Distillation from Large Language Models for Machine TranslationCode0
Basque and Spanish Counter Narrative Generation: Data Creation and Evaluation—0
To Label or Not to Label: Hybrid Active Learning for Neural Machine Translation—0
Scaling Behavior of Machine Translation with Large Language Models under Prompt Injection AttacksCode0
SemEval-2024 Shared Task 6: SHROOM, a Shared-task on Hallucinations and Related Observable Overgeneration Mistakes—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