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Showing 10901–10925 of 12395 papers

TitleStatusHype
Benchmarking Azerbaijani Neural Machine Translation—0
Benchmarking Data-driven Automatic Text Simplification for German—0
Large Language Models for Classical Chinese Poetry Translation: Benchmarking, Evaluating, and Improving—0
Benchmarking Neural and Statistical Machine Translation on Low-Resource African Languages—0
Benchmarking of English-Hindi parallel corpora—0
Benefiting Deep Latent Variable Models via Learning the Prior and Removing Latent Regularization—0
Benefiting from Language Similarity in the Multilingual MT Training: Case Study of Indonesian and Malaysian—0
Bengali to Assamese Statistical Machine Translation using Moses (Corpus Based)—0
Bering Lab’s Submissions on WAT 2021 Shared Task—0
BERT 4EVER@LT-EDI-ACL2022-Detecting signs of Depression from Social Media:Detecting Depression in Social Media using Prompt-Learning and Word-Emotion Cluster—0
BERT Enhanced Neural Machine Translation and Sequence Tagging Model for Chinese Grammatical Error Diagnosis—0
BERTić -- The Transformer Language Model for Bosnian, Croatian, Montenegrin and Serbian—0
BERTić - The Transformer Language Model for Bosnian, Croatian, Montenegrin and Serbian—0
BERT-JAM: Boosting BERT-Enhanced Neural Machine Translation with Joint Attention—0
BERTology for Machine Translation: What BERT Knows about Linguistic Difficulties for Translation—0
BERT(s) to Detect Multiword Expressions—0
BERTTune: Fine-Tuning Neural Machine Translation with BERTScore—0
Beta quantile regression for robust estimation of uncertainty in the presence of outliers—0
Better Alignment with Instruction Back-and-Forth Translation—0
Better Datastore, Better Translation: Generating Datastores from Pre-Trained Models for Nearest Neural Machine Translation—0
Better OOV Translation with Bilingual Terminology Mining—0
Better Statistical Machine Translation through Linguistic Treatment of Phrasal Verbs—0
Better Together: Modern Methods Plus Traditional Thinking in NP Alignment—0
Better Uncertainty Quantification for Machine Translation Evaluation—0
Between Flexibility and Consistency: Joint Generation of Captions and Subtitles—0
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All datasetsMuLD (OpenSubtitles)PhoMTOxford Radar RobotCar Dataset

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1T5BLEU-134.07—Unverified
2LongformerBLEU-122.74—Unverified
#ModelMetricClaimedVerifiedStatus
1ALMA-Gemma-7B-IT-STBLEU56.21—Unverified
2ALMA-Gemma-7B-ITBLEU52.7—Unverified
#ModelMetricClaimedVerifiedStatus
1CFEAR-3-s50translation error [%]1.09—Unverified