Results 1 to 10 of about 186,158 (247)
Putting Natural in Natural Language Processing
Findings of the Association for Computational Linguistics: ACL 2023, 2023 Human language is firstly spoken and only secondarily written. Text, however, is a very convenient and efficient representation of language, and modern civilization has made it ubiquitous. Thus the field of NLP has overwhelmingly focused on processing written rather than spoken language.
openaire +2 more sources
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
doaj +1 more source
Research on sentence alignment based on modeling word pairs [PDF]
Jisuanji gongcheng, 2019 Sentence alignment is a process mapping sentences in the source text to their counterparts in the target text.Within the framework of neural network,this paper proposes a sentence alignment method,on the basis that the aligned source sentence and target ...
DING Ying,LI Junhui,ZHOU Guodong
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
A Method of Chinese-Vietnamese Bilingual Corpus Construction for Machine Translation
IEEE Access, 2022 A bilingual corpus is vital for natural language processing problems, especially in machine translation. The larger and better quality the corpus is, the higher the efficiency of the resulting machine translation is.
Phuoc Tran +4 more
doaj +1 more source
Speech Rate Adjustments in Conversations With an Amazon Alexa Socialbot
Frontiers in Communication, 2021 This paper investigates users’ speech rate adjustments during conversations with an Amazon Alexa socialbot in response to situational (in-lab vs. at-home) and communicative (ASR comprehension errors) factors.
Michelle Cohn +7 more
doaj +1 more source