Results 31 to 40 of about 10,655,437 (309)
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
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Natural Language Processing in Textual Information Retrieval and Related Topics [PDF]
, 2007 This article is a review of the main characteristics of natural language processing techniques, focusing on its application to information retrieval and related ...
Pedraza-Jimenez, Rafael +3 more
core +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
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Diagnosis Classification in the Emergency Room Using Natural Language Processing [PDF]
, 2023 Diagnosis classification in the emergency room (ER) is a complex task. We developed several natural language processing classification models, looking both at the full classification task of 132 diagnostic categories and at several clinically applicable ...
't Hart, H. +8 more
core
Improving Transformer-Based Neural Machine Translation with Prior Alignments
Complexity, 2021 Transformer is a neural machine translation model which revolutionizes machine translation. Compared with traditional statistical machine translation models and other neural machine translation models, the recently proposed transformer model radically ...
Thien Nguyen +3 more
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Enhancing Conversational Model With Deep Reinforcement Learning and Adversarial Learning
IEEE Access, 2023 This paper develops a Chatbot conversational model that is aimed to achieve two goals: 1) utilizing contextual information to generate accurate and relevant responses, and 2) implementing strategies to make conversations human-like.
Quoc-Dai Luong Tran +2 more
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Embeddings in Natural Language Processing [PDF]
Proceedings of the 28th International Conference on Computational Linguistics: Tutorial Abstracts, 2020 Embeddings have been one of the most important topics of interest in NLP for the past decade. Representing knowledge through a low-dimensional vector which is easily integrable in modern machine learning models has played a central role in the development of the field.
José Camacho-Collados +1 more
openaire +1 more source
A Relationship: Word Alignment, Phrase Table, and Translation Quality
The Scientific World Journal, 2014 In the last years, researchers conducted several studies to evaluate the machine translation quality based on the relationship between word alignments and phrase table.
Liang Tian +3 more
doaj +1 more source
Journal of Information Science Theory and Practice, 2015 Evaluation of retrieval systems is mostly limited to laboratory settings and rarely considers changes of performance over time. This article presents an evaluation of retrieval systems for internal Web site search systems between the years 2006 and 2011.
Mandl, Thomas +2 more
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Distributional Measures of Semantic Abstraction
Frontiers in Artificial Intelligence, 2022 This article provides an in-depth study of distributional measures for distinguishing between degrees of semantic abstraction. Abstraction is considered a “central construct in cognitive science” (Barsalou, 2003) and a “process of information reduction ...
Sabine Schulte im Walde +1 more
doaj +1 more source