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A Guide to Computational Linguistics and Conversational AI

Towards AI

if this statement sounds familiar, you are not foreign to the field of computational linguistics and conversational AI. Source: Creative Commons In recent years, we have seen an explosion in the use of voice assistants, chatbots, and other conversational agents that use natural language to communicate with humans.

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Natural Language Processing with R

Heartbeat

Source: Author The field of natural language processing (NLP), which studies how computer science and human communication interact, is rapidly growing. By enabling robots to comprehend, interpret, and produce natural language, NLP opens up a world of research and application possibilities.

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Large Language Models – Technical Overview

Viso.ai

LLMs apply powerful Natural Language Processing (NLP), machine translation, and Visual Question Answering (VQA). Categorization of LLMs – Source One of the most common examples of an LLM is a virtual voice assistant such as Siri or Alexa. When you ask, “What is the weather today?

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The State of Multilingual AI

Sebastian Ruder

Developing models that work for more languages is important in order to offset the existing language divide and to ensure that speakers of non-English languages are not left behind, among many other reasons. The distribution of resources in the world's languages. ↩︎ Ruder, S., Joshi et al. [92]

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Testing the Robustness of LSTM-Based Sentiment Analysis Models

John Snow Labs

Sentiment analysis, a branch of natural language processing (NLP), has evolved as an effective method for determining the underlying attitudes, emotions, and views represented in textual information. The 49th Annual Meeting of the Association for Computational Linguistics (ACL 2011). Daly, Peter T.