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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 751–800 of 10752 papers

TitleStatusHype
The Role of n-gram Smoothing in the Age of Neural Networks—0
A Collection of Pragmatic-Similarity Judgments over Spoken Dialog UtterancesCode0
From Handcrafted Features to LLMs: A Brief Survey for Machine Translation Quality Estimation—0
Prediction of Translation Techniques for the Translation Process—0
Isometric Neural Machine Translation using Phoneme Count Ratio Reward-based Reinforcement Learning—0
Do Not Worry if You Do Not Have Data: Building Pretrained Language Models Using Translationese—0
A New Massive Multilingual Dataset for High-Performance Language Technologies—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
Enhancing Taiwanese Hokkien Dual Translation by Exploring and Standardizing of Four Writing SystemsCode2
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
Scaling Behavior of Machine Translation with Large Language Models under Prompt Injection AttacksCode0
Basque and Spanish Counter Narrative Generation: Data Creation and Evaluation—0
MT-PATCHER: Selective and Extendable Knowledge Distillation from Large Language Models for Machine TranslationCode0
To Label or Not to Label: Hybrid Active Learning for Neural Machine Translation—0
MAMMOTH: Massively Multilingual Modular Open Translation @ HelsinkiCode1
SemEval-2024 Shared Task 6: SHROOM, a Shared-task on Hallucinations and Related Observable Overgeneration Mistakes—0
Triples-to-isiXhosa (T2X): Addressing the Challenges of Low-Resource Agglutinative Data-to-Text GenerationCode0
ALaRM: Align Language Models via Hierarchical Rewards ModelingCode1
ACT-MNMT Auto-Constriction Turning for Multilingual Neural Machine Translation—0
Enhanced Auto Language Prediction with Dictionary Capsule -- A Novel Approach—0
Few-Shot Cross-Lingual Transfer for Prompting Large Language Models in Low-Resource Languages—0
Cross-lingual Transfer or Machine Translation? On Data Augmentation for Monolingual Semantic Textual Similarity—0
Where does In-context Translation Happen in Large Language Models—0
Attempt Towards Stress Transfer in Speech-to-Speech Machine Translation—0
Towards Automatic Composition of ASP Programs from Natural Language Specifications—0
Design of an Open-Source Architecture for Neural Machine Translation—0
Did Translation Models Get More Robust Without Anyone Even Noticing?—0
Inverse-Free Fast Natural Gradient Descent Method for Deep Learning—0
General2Specialized LLMs Translation for E-commerce—0
BiVert: Bidirectional Vocabulary Evaluation using Relations for Machine Translation—0
gaHealth: An English-Irish Bilingual Corpus of Health DataCode0
Detecting Concrete Visual Tokens for Multimodal Machine Translation—0
The Case for Evaluating Multimodal Translation Models on Text Datasets—0
Adding Multimodal Capabilities to a Text-only Translation Model—0
Eliciting Better Multilingual Structured Reasoning from LLMs through Code—0
Language and Speech Technology for Central Kurdish VarietiesCode1
Transformers for Low-Resource Languages:Is Féidir Linn!—0
Human Evaluation of English--Irish Transformer-Based NMT—0
adaptNMT: an open-source, language-agnostic development environment for Neural Machine Translation—0
adaptMLLM: Fine-Tuning Multilingual Language Models on Low-Resource Languages with Integrated LLM PlaygroundsCode0
Align-to-Distill: Trainable Attention Alignment for Knowledge Distillation in Neural Machine TranslationCode0
Enhancing Neural Machine Translation of Low-Resource Languages: Corpus Development, Human Evaluation and Explainable AI Architectures—0
You Need to Pay Better Attention: Rethinking the Mathematics of Attention Mechanism—0
Machine Translation in the Covid domain: an English-Irish case study for LoResMT 2021—0
Mediapi-RGB: Enabling Technological Breakthroughs in French Sign Language (LSF) Research through an Extensive Video-Text CorpusCode0
EBBS: An Ensemble with Bi-Level Beam Search for Zero-Shot 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
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