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6 papers analyzed
These studies suggest that computational linguistics in natural language processing is applied in dialogue systems, speech-to-speech translation, sentiment analysis, improving translation, and enhancing human-computer interaction.
19 papers analyzed
Computational linguistics, an interdisciplinary field combining computer science and linguistics, plays a crucial role in natural language processing (NLP). It involves the use of computational techniques to analyze and generate human language, facilitating various applications that enhance human-computer interaction.
Machine Translation and Speech Technologies:
Deep Learning in NLP:
Spoken Dialogue Systems and Speech-to-Speech Translation:
Sentiment and Emotion Analysis:
Translation Studies:
Natural Language Understanding:
Computational linguistics has significantly impacted natural language processing by enabling advancements in machine translation, speech technologies, sentiment analysis, and translation studies. The integration of deep learning has further propelled the field, bringing us closer to achieving natural language understanding in computers. These developments continue to enhance the ways in which humans interact with technology.
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