Results 31 to 40 of about 10,293,728 (308)
Applied Sciences, 2023 The development of conversational agents that can generate relevant and meaningful replies is a challenging task in the field of natural language processing.
Quoc-Dai Luong Tran, Anh-Cuong Le
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Applied Sciences, 2020 The modeling of fundamental frequency (F0) in speech synthesis is a critical factor affecting the intelligibility and naturalness of synthesized speech. In this paper, we focus on improving the modeling of F0 for Isarn speech synthesis. We propose the F0
Pongsathon Janyoi, Pusadee Seresangtakul
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An Efficient Deep Learning for Thai Sentiment Analysis
Data, 2023 The number of reviews from customers on travel websites and platforms is quickly increasing. They provide people with the ability to write reviews about their experience with respect to service quality, location, room, and cleanliness, thereby helping ...
Nattawat Khamphakdee +1 more
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Visual Tools for Natural Language Processing [PDF]
, 2001 We describe GATE, the General Architecture for Text Engineering, an integrated visual development environment to support the visual assembly, execution and analysis of modular natural language processing systems.
Humphreys, Kevin +2 more
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Morphology-assisted Sindhi text analysis for natural language processing applications [PDF]
, 2023 Understanding word construction and internal structure, especially in the Sindhi language, requires knowledge of the linguistic field known as morphology.
Buller, Abdul Hafeez +2 more
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A Systematic Comparison of Data Selection Criteria for SMT Domain Adaptation
The Scientific World Journal, 2014 Data selection has shown significant improvements in effective use of training data by extracting sentences from large general-domain corpora to adapt statistical machine translation (SMT) systems to in-domain data.
Longyue Wang +4 more
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How We Do Things With Words: Analyzing Text as Social and Cultural Data [PDF]
, 2020 In this article we describe our experiences with computational text analysis involving rich social and cultural concepts. We hope to achieve three primary goals.
Nguyen, Dong +8 more
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Attention in Natural Language Processing [PDF]
IEEE Transactions on Neural Networks and Learning Systems, 2021 Attention is an increasingly popular mechanism used in a wide range of neural architectures. The mechanism itself has been realized in a variety of formats. However, because of the fast-paced advances in this domain, a systematic overview of attention is still missing.
Andrea Galassi +2 more
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The Scientific World Journal, 2014 With the rapid development of machine translation (MT), the MT evaluation becomes very important to timely tell us whether the MT system makes any progress.
Aaron L.-F. Han +4 more
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Chemical-induced disease relation extraction via attention-based distant supervision
BMC Bioinformatics, 2019 Background Automatically understanding chemical-disease relations (CDRs) is crucial in various areas of biomedical research and health care. Supervised machine learning provides a feasible solution to automatically extract relations between biomedical ...
Jinghang Gu +3 more
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