Traditionally, the study of computational linguistics (CL) has been performed by computer scientists specializing in the application of computers to the processing of a natural language. Today, computational linguists often work as members of interdisciplinary teams that include linguists (specifically trained in linguistics), language experts (persons with some level of ability in the languages relevant to a given project), and computer scientists. CL must become more connected to the cognitive sciences through the development of cognitive semantic theories. CL is connected to AI through the development of methods and algorithms for all aspects of language analysis and their computer implementation. We can see language analysis divided into two parts: theoretical analysis and application.
Computational linguistics is the scientific study of language from a computational perspective. Computational linguists are interested in providing computational models of various kinds of linguistic phenomena. These models may be "knowledge-based" ("hand-crafted") or "data-driven" ("statistical" or "empirical"). Work in computational linguistics is in some cases motivated from a scientific perspective in that one is trying to provide a computational explanation for a particular linguistic or psycholinguistic phenomenon; and in other cases the motivation may be more purely technological in that one wants to provide a working component of a speech or natural language system. Indeed, the work of computational linguists is incorporated into many working systems today, including speech recognition systems, text-to-speech synthesizers, automated voice response systems, web search engines, text editors, language instruction materials, to name just a few.
This is a ranking of the best Artificial Intelligence journals in the United States. Where do advances in research of Artificial Intelligence and Machine Learning get published? These are the repositories of AI advancements and a window into the current state-of-the-art, and in large part its knowledge base. Papers in AI journals get cited by other AI researchers and publications. And so the new findings and new research is shared and built upon, which contributes to the pace of AI advancements.
Natural Language Processing, or NLP for short, is broadly defined as the automatic manipulation of natural language, like speech and text, by software. The study of natural language processing has been around for more than 50 years and grew out of the field of linguistics with the rise of computers. In this post, you will discover what natural language processing is and why it is so important. What Is Natural Language Processing? Photo by pedrik, some rights reserved.