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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 4851–4900 of 10752 papers

TitleStatusHype
Linguistic Linked Data in Chinese: The Case of Chinese Wordnet—0
Linguistic realisation as machine translation: Comparing different MT models for AMR-to-text generation—0
LINGUIST: Language Model Instruction Tuning to Generate Annotated Utterances for Intent Classification and Slot Tagging—0
Linked Recurrent Neural Networks—0
Linking Pictographs to Synsets: Sclera2Cornetto—0
Linking the Neural Machine Translation and the Prediction of Organic Chemistry Reactions—0
ListNet-based MT Rescoring—0
LiSTra, Automatic Speech Translation: English to Lingala case study—0
LiSTra Automatic Speech Translation: English to Lingala Case Study—0
Literal, Metphorical or Both? Detecting Metaphoricity in Isolated Adjective-Noun Phrases—0
Literal or idiomatic? Identifying the reading of single occurrences of German multiword expressions using word embeddings—0
Literal readings of multiword expressions: as scarce as hen's teeth—0
Literary Machine Translation under the Magnifying Glass: Assessing the Quality of an NMT-Translated Detective Novel on Document Level—0
Literary translation as a three-stage process: machine translation, post-editing and revision—0
LIT Team's System Description for Japanese-Chinese Machine Translation Task in IWSLT 2020—0
LIUM-CVC Submissions for WMT17 Multimodal Translation Task—0
LIUM-CVC Submissions for WMT18 Multimodal Translation Task—0
LIUM's Contributions to the WMT2019 News Translation Task: Data and Systems for German-French Language Pairs—0
LIUM's SMT Machine Translation Systems for WMT 2012—0
LLBoost: Last Layer Perturbation to Boost Pre-trained Neural Networks—0
LLM-Assisted Rule Based Machine Translation for Low/No-Resource Languages—0
LLMs-in-the-loop Part-1: Expert Small AI Models for Bio-Medical Text Translation—0
LLM Tree Search—0
LMN: A Tool for Generating Machine Enforceable Policies from Natural Language Access Control Rules using LLMs—0
LMSim : Computing Domain-specific Semantic Word Similarities Using a Language Modeling Approach—0
LMU Bilingual Dictionary Induction System with Word Surface Similarity Scores for BUCC 2020—0
LMU Munich's Neural Machine Translation Systems at WMT 2018—0
LMU Munich's Neural Machine Translation Systems for News Articles and Health Information Texts—0
Load-balanced Gather-scatter Patterns for Sparse Deep Neural Networks—0
Local Interpretations for Explainable Natural Language Processing: A Survey—0
Localising the Clinical Terminology SNOMED CT by Semi-automated Creation of a German Interface Vocabulary—0
Locality-Sensitive Hashing for Long Context Neural Machine Translation—0
Localizing AI: Evaluating Open-Weight Language Models for Languages of Baltic States—0
Locally Non-Linear Learning for Statistical Machine Translation via Discretization and Structured Regularization—0
Locally Training the Log-Linear Model for SMT—0
Local Monotonic Attention Mechanism for End-to-End Speech and Language Processing—0
Local Phrase Reordering Model for Chinese-English Patent Machine Translation—0
Local String Transduction as Sequence Labeling—0
Local System Voting Feature for Machine Translation System Combination—0
Local Translation Prediction with Global Sentence Representation—0
LoCoML: A Framework for Real-World ML Inference Pipelines—0
Logistic Regression for Automatic Lexical Level Morphological Paradigm Selection for Konkani Nouns—0
Log-linear Combinations of Monolingual and Bilingual Neural Machine Translation Models for Automatic Post-Editing—0
Log-linear Models for Uyghur Segmentation in Spoken Language Translation—0
Log-Linear Reformulation of the Noisy Channel Model for Document-Level Neural Machine Translation—0
Logographic Subword Model for Neural Machine Translation—0
Long-form Simultaneous Speech Translation: Thesis Proposal—0
Long-Short Term Masking Transformer: A Simple but Effective Baseline for Document-level Neural Machine Translation—0
Long Short-Term Memory Over Tree Structures—0
Long Warm-up and Self-Training: Training Strategies of NICT-2 NMT System at WAT-2019—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