Neural machine translation of logographic languages using sub-character level information
Recent neural machine translation (NMT) systems have been greatly improved by encoder-
decoder models with attention mechanisms and sub-word units. However, important …
decoder models with attention mechanisms and sub-word units. However, important …
Using sub-character level information for neural machine translation of logographic languages
Logographic and alphabetic languages (eg, Chinese vs. English) have different writing
systems linguistically. Languages belonging to the same writing system usually exhibit more …
systems linguistically. Languages belonging to the same writing system usually exhibit more …
Improving Chinese word representation using four corners features
Intuitively, word representation for logographic languages like Chinese can be enhanced by
its internal characteristics. Several research endeavors tried to learn Chinese word …
its internal characteristics. Several research endeavors tried to learn Chinese word …
Resource development to prevent riots at mass events
LI Voronova, RV Tolmachev… - … in the Field of on Board …, 2018 - ieeexplore.ieee.org
Currently, the main communication means and management of the participants behavior in
mass events, including unauthorized ones, are portable mobile devices, through which, in …
mass events, including unauthorized ones, are portable mobile devices, through which, in …
Six-Writings multimodal processing with pictophonetic coding to enhance Chinese language models
L Weigang, MC Marinho, DL Li… - Frontiers of Information …, 2024 - Springer
While large language models (LLMs) have made significant strides in natural language
processing (NLP), they continue to face challenges in adequately addressing the intricacies …
processing (NLP), they continue to face challenges in adequately addressing the intricacies …