Stream-based statistical machine translation
We investigate a new approach for SMT system training within the streaming model of computation. We develop and test incrementally retrainable models which, given an incoming stream of new data, can efficiently incorporate the stream data online. A naive approach using a stream would use an unbounded amount of space.
openaire +1 more source
Progress in sepsis prediction models: from traditional scoring systems to multimodal intelligence and clinical translation. [PDF]
Mou C, Yang J, Wu Q, Qin L, Lu J.
europepmc +1 more source
Enriching Morphologically Poor Languages for Statistical Machine Translation [PDF]
Avramidis, Eleftherios, Koehn, Philipp
core
Technological synergy and convergent innovation: evolutionary trajectories of AI-integrated multi-omics in cancer research and clinical translation (2015-2024). [PDF]
Chen D, Hou X.
europepmc +1 more source
BanglaRegionalTextCorpus: A curated dataset for four regional bangla dialects with standard Bangla and English translation. [PDF]
Ahmed MT +4 more
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Evaluating human-in-the-loop strategies for artificial intelligence-enabled translation of patient discharge instructions: a multidisciplinary analysis. [PDF]
Brewster RC +28 more
europepmc +1 more source
Assessing performance, calibration, and explainability of machine learning versus traditional models for early outcome prediction after spontaneous intracerebral hemorrhage: a systematic review and meta-analysis protocol. [PDF]
Bu F +7 more
europepmc +1 more source
Examining cognitive load in human-machine collaborative translation: insights from eye-tracking experiments of Chinese-English translation. [PDF]
Chen L.
europepmc +1 more source
From scores to insights: Predicting MT errors using reliable metrics and linguistic typology in slavic languages. [PDF]
Munkova D +4 more
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