Results 131 to 140 of about 4,505,015 (366)
Rethinking Round-Trip Translation for Machine Translation Evaluation [PDF]
arXiv, 2022 Automatic evaluation on low-resource language translation suffers from a deficiency of parallel corpora. Round-trip translation could be served as a clever and straightforward technique to alleviate the requirement of the parallel evaluation corpus. However, there was an observation of obscure correlations between the evaluation scores by forward and ...
arxiv
MATREX: the DCU MT system for WMT 2010 [PDF]
, 2010 This paper describes the DCU machine translation system in the evaluation campaign of the Joint Fifth Workshop on Statistical Machine Translation and Metrics in ACL-2010.
Banerjee, Pratyush +9 more
core
Reinforcement Learning for Bandit Neural Machine Translation with Simulated Human Feedback
, 2017 Machine translation is a natural candidate problem for reinforcement learning from human feedback: users provide quick, dirty ratings on candidate translations to guide a system to improve.
Boyd-Graber, Jordan +2 more
core +1 more source
Applied Translation, 2021 Language comprehension is the capacity of someone to properly understand the language to fully communicate the message and details. When dialects are distinct, the problem arises. This condition can lead to misconception as understudies, particularly those whose specialty is not English, cannot gain real importance.
openaire +3 more sources
Molecular Oncology, Volume 19, Issue 4, Page 1092-1116, April 2025.FOXL2 c.402C>G mutation drives granulosa cell tumors. Using CRISPR technology, we selectively corrected this mutation, reducing malignancy and increasing sensitivity to dasatinib and ketoconazole. Transcriptomic changes revealed potential therapeutic targets, demonstrating CRISPR's promise for treating this rare ovarian cancer.
Sandra Amarilla‐Quintana +17 more
wiley +1 more source
Neural Machine Translation model for University Email Application [PDF]
International Conference on Natural Language Processing (ICNLP
2020), July 11-13, 2020, 2020 Machine translation has many applications such as news translation, email translation, official letter translation etc. Commercial translators, e.g. Google Translation lags in regional vocabulary and are unable to learn the bilingual text in the source and target languages within the input.
arxiv
Optimizing Machine Translation through Prompt Engineering: An Investigation into ChatGPT's Customizability [PDF]
Proceedings of Machine Translation Summit XIX, Vol. 2: Users
Track, pages 195-204, September 4-8, 2023, Macau SAR, China, 2023 This paper explores the influence of integrating the purpose of the translation and the target audience into prompts on the quality of translations produced by ChatGPT. Drawing on previous translation studies, industry practices, and ISO standards, the research underscores the significance of the pre-production phase in the translation process.
arxiv
Neural Machine Translation into Language Varieties
, 2018 Both research and commercial machine translation have so far neglected the importance of properly handling the spelling, lexical and grammar divergences occurring among language varieties.
Erofeeva, Aliia +2 more
core +1 more source
Molecular Oncology, EarlyView.Prostate cancer is a leading malignancy with significant clinical heterogeneity in men. An 11‐gene signature derived from dysregulated epithelial cell markers effectively predicted biochemical recurrence‐free survival in patients who underwent radical surgery or radiotherapy.
Zhuofan Mou, Lorna W. Harries
wiley +1 more source
Generative Neural Machine Translation [PDF]
, 2018 We introduce Generative Neural Machine Translation (GNMT), a latent variable architecture which is designed to model the semantics of the source and target sentences.
Barber, David, Shah, Harshil
core +1 more source