Results 91 to 100 of about 325,723 (299)

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  

Development of an automated CBCT‐based simulation‐free platform for expedited palliative radiotherapy on a conventional linear accelerator

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Background Conventional approaches for emergent or expedited palliative radiotherapy (RT) involve the application of cumbersome vendor‐provided solutions and/or multiple patient appointments to complete the RT workflow within a compressed timeframe.
Riley C. Tegtmeier, Edward L. Clouser Jr., Quan Chen, Courtney R. Buckey, Suzanne J. Chungbin, Christopher J. Kutyreff, Jose S. Aguilar, Amber L. Labbe, Brooke L. Horning, William G. Rule, Sujay A. Vora, Yi Rong   +11 more
wiley   +1 more source

Research Progress of Named Entity Recognition Based on Large Language Model [PDF]

Jisuanji kexue yu tansuo
Named entity recognition aims to identify named entities and their types from unstructured text, which is an important basic task in natural language processing technologies such as question answering system, machine translation and knowledge graph. With
LIANG Jia, ZHANG Liping, YAN Sheng, ZHAO Yubo, ZHANG Yawen
doaj   +1 more source

Pre-Translation for Neural Machine Translation [PDF]

arXiv, 2016
Recently, the development of neural machine translation (NMT) has significantly improved the translation quality of automatic machine translation. While most sentences are more accurate and fluent than translations by statistical machine translation (SMT)-based systems, in some cases, the NMT system produces translations that have a completely ...
arxiv  

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  

Patient‐specific adaptive planning margin for whole bladder radiation therapy

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Background Whole bladder irradiation is an organ preservation treatment approach for muscle‐invasive bladder cancer (MIBC). Conventional planning margins, typically 15–20 mm, increase normal tissue toxicity and limit possible dose escalation.
Zhexuan Zhang, Chieh‐Wen Liu, Jeremy D. Donaghue, Eric J. Murray, Omar Mian, Ping Xia   +5 more
wiley   +1 more source

AAPM‐RSS Medical Physics Practice Guideline 9.b: SRS‐SBRT

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract The purpose of this Medical Physics Practice Guideline (MPPG) is to describe the minimum level of medical physics support deemed prudent for the practice of linear‐accelerator, photon‐based (linac) stereotactic radiosurgery (SRS), and stereotactic body radiation therapy (SBRT) services.
Eileen Cirino, Stanley H. Benedict, Pamela J. Dupre, Per H. Halvorsen, Grace Gwe‐Ya Kim, Meral L. Reyhan, Christopher W. Schneider, Lei Wang, Carl P. Weaver, Sua Yoo   +9 more
wiley   +1 more source

MACHINE TRANSLATION USING SCARCE BILINGUAL CORPORA

TASK Quarterly, 2007
We propose a method for automatic extraction of translation rules suitable for a rule-based machine translation system by using a target language syntactic parser and scarce bilingual resources as linguistic knowledge sources.
KRZYSZTOF JASSEM, TOMASZ KOWALSKI
doaj  

Six Challenges for Neural Machine Translation [PDF]

arXiv, 2017
We explore six challenges for neural machine translation: domain mismatch, amount of training data, rare words, long sentences, word alignment, and beam search. We show both deficiencies and improvements over the quality of phrase-based statistical machine translation.
arxiv