Results 101 to 110 of about 4,220,052 (297)

Limitations of Machine Translation [PDF]

Armenian Folia Anglistika, 2010
Along with technological advancements worldwide there is a growing demand in machine translation as well. With its various and most diverse translation opportunities, computer translation, however, has its disadvantages and restrictions. At the current stage of technological development, translation done by a translator will provide a higher quality ...
openaire   +2 more sources

Generalizing Back-Translation in Neural Machine Translation [PDF]

Proceedings of the Fourth Conference on Machine Translation (Volume 1: Research Papers), 2019
Published by Association for Computational Linguistics (ACL), Stroudsburg ...
Graça, Miguel M., Kim, Yunsu, Schamper, Julian, Khadivi, Shahram, Ney, Hermann   +4 more
openaire   +3 more sources

Surfaceome: a new era in the discovery of immune evasion mechanisms of circulating tumor cells

Molecular Oncology, EarlyView.
In the era of immunotherapies, many patients either do not respond or eventually develop resistance. We propose to pave the way for proteomic analysis of surface‐expressed proteins called surfaceome, of circulating tumor cells. This approach seeks to identify immune evasion mechanisms and discover potential therapeutic targets. Circulating tumor cells (
Doryan Masmoudi, Jérome Vialaret, Christophe Hirtz, Catherine Alix‐Panabières   +3 more
wiley   +1 more source

A SYSTEMATIC READING IN STATISTICAL TRANSLATION: FROM THE STATISTICAL MACHINE TRANSLATION TO THE NEURAL TRANSLATION MODELS.

Journal of ICT, 2017
Achieving high accuracy in automatic translation tasks has been one of the challenging goals for researchers in the area of machine translation since decades.
Zakaria El Maazouzi, Badr Eddine El Mohajir, Mohammed Al Achhab   +2 more
doaj   +3 more sources

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, Dandapat, Sandipan, Du, Jinhua, Forcada, Mikel, Haque, Rejwanul, Kumar Naskar, Sudip, Pecina, Pavel, Penkale, Sergio, Srivastava, Ankit Kumar, Way, Andy   +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, Daumé III, Hal, Nguyen, Khanh   +2 more
core   +1 more source

Unsupervised Statistical Machine Translation [PDF]

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, 2018
While modern machine translation has relied on large parallel corpora, a recent line of work has managed to train Neural Machine Translation (NMT) systems from monolingual corpora only (Artetxe et al., 2018c; Lample et al., 2018). Despite the potential of this approach for low-resource settings, existing systems are far behind their supervised ...
Artetxe Zurutuza, Mikel, Labaka Intxauspe, Gorka, Agirre Bengoa, Eneko   +2 more
openaire   +4 more sources

Cell‐free and extracellular vesicle microRNAs with clinical utility for solid tumors

Molecular Oncology, EarlyView.
Cell‐free microRNAs (cfmiRs) are small‐RNA circulating molecules detectable in almost all body biofluids. Innovative technologies have improved the application of cfmiRs to oncology, with a focus on clinical needs for different solid tumors, but with emphasis on diagnosis, prognosis, cancer recurrence, as well as treatment monitoring.
Yoshinori Hayashi, Janelle‐Cheri Millen, Romela Irene Ramos, Jennifer A. Linehan, Timothy G. Wilson, Dave S. B. Hoon, Matias A. Bustos   +6 more
wiley   +1 more source

Peripheral blood proteome biomarkers distinguish immunosuppressive features of cancer progression

Molecular Oncology, EarlyView.
Immune status significantly influences cancer progression. This study used plasma proteomics to analyze benign 67NR and malignant 4T1 breast tumor models at early and late tumor stages. Immune‐related proteins–osteopontin (Spp1), lactotransferrin (Ltf), calreticulin (Calr) and peroxiredoxin 2 (Prdx2)–were associated with systemic myeloid‐derived ...
Yeon Ji Park, Jae Won Oh, Hyewon Chung, Jung Won Kwon, Yi Rang Na, Kwang Pyo Kim, Seung Hyeok Seok   +6 more
wiley   +1 more source

Neural machine translation of chemical nomenclature between English and Chinese

Journal of Cheminformatics, 2020
Machine translation of chemical nomenclature has considerable application prospect in chemical text data processing between languages. However, rule based machine translation tools have to face significant complication in rule sets building, especially ...
Tingjun Xu, Weiming Chen, Junhong Zhou, Jingfang Dai, Yingyong Li, Yingli Zhao   +5 more
doaj   +1 more source