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Translation

Papers

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Showing 9476–9500 of 12395 papers

TitleStatusHype
What is Hidden among Translation Rules—0
What is it? Disambiguating the different readings of the pronoun `it'—0
What is the Best Way for ChatGPT to Translate Poetry?—0
What It Takes to Achieve 100\% Condition Accuracy on WikiSQL—0
What Level of Quality can Neural Machine Translation Attain on Literary Text?—0
Could We Have Had Better Multilingual LLMs If English Was Not the Central Language?—0
What Makes Word-level Neural Machine Translation Hard: A Case Study on English-German Translation—0
What Role Does BERT Play in the Neural Machine Translation Encoder?—0
What's in a Domain? Analyzing Genre and Topic Differences in Statistical Machine Translation—0
What's the Difference Between Professional Human and Machine Translation? A Blind Multi-language Study on Domain-specific MT—0
What’s the Difference Between Professional Human and Machine Translation? A Blind Multi-language Study on Domain-specific MT—0
What Works and Doesn't Work, A Deep Decoder for Neural Machine Translation—0
What Works and Doesn’t Work, A Deep Decoder for Neural Machine Translation—0
When and Why is Unsupervised Neural Machine Translation Useless?—0
When do Contrastive Word Alignments Improve Many-to-many Neural Machine Translation?—0
When do Contrastive Word Alignments Improve Many-to-many Neural Machine Translation?—0
When Does Monolingual Data Help Multilingual Translation: The Role of Domain and Model Scale—0
When does Parameter-Efficient Transfer Learning Work for Machine Translation?—0
When Does Translation Require Context? A Data-driven, Multilingual Exploration—0
When Does Translation Require Context? A Data-driven, Multilingual Exploration—0
When Does Unsupervised Machine Translation Work?—0
When End-to-End is Overkill: Rethinking Cascaded Speech-to-Text Translation—0
When is Char Better Than Subword: A Systematic Study of Segmentation Algorithms for Neural Machine Translation—0
When less is more in Neural Quality Estimation of Machine Translation. An industry case study—0
When Prolog meets generative models: a new approach for managing knowledge and planning in robotic applications—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