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Leveraging NLP to Explore the Future of Language

Jim Garlock By: Jeff Parcheta

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Digital technologies, such as smartphones, computers, and the internet have become more pervasive in our daily lives than ever before. This infiltration has caused an explosion of data, specifically textual data, to become available to the public and businesses across all industries. This explosion has become both a blessing and a curse, as businesses now have an overabundance of information to analyze and glean insights from, and while quite valuable, it has become too much to handle. Natural language processing (NLP) is the answer to this challenge.

Natural language processing is the next logical step in processing, understanding, and structuring this data. Additionally, as other supplementary technologies, such as artificial intelligence and machine learning continue to advance, NLP presents itself as an opportunity. NLP brings forth rapid innovation as software developers and industries collaborate to address various work-related issues and develop ways to enhance the workplace further.

Big Data and Cutting-Edge Tech

Natural language processing is the driving force behind how computers interact with human language. This technology is realized through the development of models and algorithms, which are used to understand, interpret, and generate text that's natural. As for how NLP can be applied, tasks like machine translation, question answering, information extraction, and more are all possible. These advancements exist thanks to the availability of incredible amounts of text data, machine learning algorithms like deep learning, and the improvement of computational power over the years.

There is a plethora of challenges faced by industrial professionals that can be expensive, time-consuming, and complex. This includes hurdles such as data quality and quantity, scope and interpretability, computational efficiency, ethics, language analysis, and ambiguity.

Utilizing NLP as a solution can help improve the understanding of language, streamline tasks like information extraction and document categorization to improve productivity, and even allow for seamless communication and informational exchange, thanks to multilingual capabilities. Moreover, further advancements within this technology can lead to a breakdown of language barriers and next-gen search.

There are several technologies and processes that make NLP possible. Examples of this include machine learning, deep learning, and named entity recognition. These technologies are used in tandem for tokenization, parsing, question-answering, and language generation. Software developers go through involved processes to break down the text to be comprehensible to the system, provide the proper data for understanding grammar and key entities such as people and places, and provide accurate natural language responses. Additionally, equally pivotal components like sentiment analysis and text summarization play a role in aiding users by understanding the relationship between words and the content they're consuming.

Industrial Application

While this technology is applicable in a wide range of industries like marketing, education, and e-commerce, below is a breakdown of NLP implementation within other essential industries.

Overall, implementing NLP within these industries leads to improved decision-making, enhanced customer experiences, more efficient uses of data, and streamlined operations. However, this is just a glimpse of the potential uses. With demonstrated versatility, this technology is poised to provide additional innovative applications across various industries as it undergoes further development by expert-level software engineers.

Embracing a Multilingual Future

NLP will continue to be an incredibly promising technology in the foreseeable future as industries have noticed the impact of introducing cutting-edge technologies like artificial intelligence to aid in their day-to-day processes. Whether it's increased efficiency, productivity, better customer and patient outcomes, or improved decision-making, NLP proves itself as a valuable tool, with adoption steadily rising.

What can be seen as a background component of a much grander tool, NLP stands as an impressively crucial piece to today’s evolving technological advancements. Additionally, as it continues to progress, NLP will comprise of even greater learning capabilities alongside advanced logical reasoning to improve the day-to-day for end-users and businesses alike.


Chetu, Inc. does not affect the opinion of this article. Any mention of specific names for software, companies or individuals does not constitute an endorsement from either party unless otherwise specified. All case studies and blogs are written with the full cooperation, knowledge and participation of the individuals mentioned. This blog should not be construed as legal advice.

Chetu was incorporated in 2000 and is headquartered in Florida. We deliver World-Class Software Development Solutions serving entrepreneurs to Fortune 500 clients. Our services include process and systems design, package implementation, custom development, business intelligence and reporting, systems integration, as well as testing, maintenance and support. Chetu's expertise spans across the entire IT spectrum.

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