Artificial intelligence is on the rise, with one-third of businesses using the technology regularly for at least one business function. The abundance of AI tools in the market brings the added advantage of natural language processing capabilities.
Enhanced with this advanced technology, software and programs significantly optimize audio and video transcription, facilitating the seamless creation of accurate captions and rich content. This streamlined process is remarkably efficient and user-friendly, enabling individuals from diverse backgrounds to effortlessly produce content that is both engaging and captivating.
While natural language processing may initially appear complex, it is surprisingly user-friendly. In fact, there’s a good chance that you already use it in your day-to-day life to transcribe audio into text. Once you familiarize yourself with a few natural language examples and grasp the personal and professional benefits it offers, you’ll never revert to traditional transcription methods again.
What Is Natural Language Processing (NLP)?
Natural language processing (NLP) pertains to computers and machines comprehending and processing language in a manner akin to human speech and writing. Unlike humans, who inherently grasp the existence of linguistic rules (such as grammar, syntax, and punctuation), computers require training to acquire this understanding.
Artificial intelligence technology is what trains computers to process language this way. Computers use a combination of machine learning, deep learning, and neural networks to constantly learn and refine natural language rules as they continually process each natural language example from the dataset.
One of the oldest and best examples of natural language processing is the human brain. NLP works similarly to your brain in that it has an input such as a microphone, audio file, or text block. Just as humans use their brains, the computer processes that input using a program, converting it into code that the computer can recognize. The last step is the output in a language and format that humans can understand.
How Does NLP Benefit Businesses?
You may be a business owner wondering, “What are some applications of natural language processing?” Fortunately, NLP has many applications and benefits that help business owners save time and money and move closer to their strategic goals.
Streamlined Operations
NLP systems can streamline business operations by automating employees’ workflows. For example, those who need to transcribe audio or video to create captions for marketing content can simply upload their audio file into a program that automatically transcribes it, identifies and separates speakers, and provides automatic timestamps.
This is one of the best and most effective examples of NLP and its benefits. Instead of using and paying for multiple programs to accomplish this, you can do it with just one.
Better Decision-Making
NLP tools can help businesses do everything online, from monitoring brand mentions on social media to verbally conversing with their business intelligence data. This, in turn, allows them to garner the insight they need to run their business well.
Leveraging NLP for video transcription not only enables you to enhance business decision-making but also empowers you to optimize audience engagement. By adding captions and analyzing viewership percentages, you can assess the effectiveness of your videos. Additionally, if your transcription software supports translation, you can identify the language preferences of your viewers and tailor your strategy accordingly.
Competitive Advantage
Whether you use your transcribed content for your blog, video captions, SEO strategies, or email marketing, automated NLP transcription programs can help you gain a competitive advantage. You’ll be able to produce more versatile content in a fraction of the time and at a lower cost. This helps you grow your business faster and bring fresh content to your customers before anyone else.
Cost-Savings
NLP tools have revolutionized tasks previously performed exclusively by humans. As a result, transcription solutions utilizing this technology are considerably more cost-effective than hiring human transcriptionists for the same job. These cost savings can significantly reduce your overhead expenses, allowing you to allocate more funds toward business ideas and activities that foster growth and expansion.
Increased Productivity
What used to be a tedious manual process that took days for a human to do can now be done in mere minutes with the help of NLP. This means you can save time on creating video captions, website posts, and any other content uses you have for your transcriptions. If you’re currently trying to grow your company, the good news is that you can spend the time you save on other, more strategic tasks in your business.
Enhanced User Experience
Natural Language Processing (NLP) tools offer an enriched user experience for both business owners and customers. These tools provide business owners with ease of use, enabling them to converse naturally instead of adopting a formal language. This enhances overall communication effectiveness and user satisfaction. These programs also provide transcriptions in that same natural way that adheres to language norms and nuances, resulting in more accurate transcriptions and a better reader experience.
Scalability
Because NLP tools are so easy and quick to use, you can scale your content creation and business much quicker than before without hiring more staff members. As a result, you can achieve greater brand awareness, more customers, and ultimately more revenue for your company.
Eight Natural Language Processing Examples
Natural language processing capabilities are embedded in many tools. You likely already use some of them in your personal and professional life. Here are eight natural language processing examples that can enhance your life and business.
1. Language Translation
One age-old example of natural language processing is language translation. Previously, online translation tools struggled with the diverse syntax and grammar rules found in different languages, hindering their effectiveness.
NLP tools can automatically produce more accurate translations because they’re trained using more natural text and speech data. They can recognize your natural speech as it is and produce output as close to natural written language as possible.
2. Content Summarization
Because NLP tools recognize patterns in language, they can easily create automated summaries of your transcriptions in the form of a paragraph or a list of bullet points. These summaries are excellent for blog content or social media captions and allow you to repurpose your content to maximize your time and creativity.
3. Speech-to-Text
Speech-to-text transcriptions have notoriously been tedious and difficult to produce. Under normal circumstances, a human transcriptionist has to sit at a computer with headphones and a pedal, typing every word they hear. Automated NLP tools have features that allow for quick transcription of audio files into text. With so many uses for this kind of technology, there’s no limit to what your business can do with transcribed content.
4. Automated Subtitles
Subtitles are one of the most helpful uses of NLP. They assist those with hearing challenges (or those who need or prefer to watch videos with the sound off) to understand what you’re communicating. If you’re translating your subtitles, they can also help people who speak a different language understand your content.
NLP tools use your existing video content to produce automated subtitles. Many tools can distinguish between two voices and provide timestamps to sync titles with your video.
5. Chatbots
Chatbots are becoming one of today’s highly recognized NLP examples. Many companies are using automated chatbots to provide 24/7 customer service via their websites. Chatbots are AI tools that can process and answer customer questions without a live agent present. This self-service option does a great job of offering help to customers without having to spend money to have agents working around the clock.
6. Social Media Analysis
NLP tools can be your listening ear on social media, as they can pick up on what people say about your brand on each platform. If your audience expresses the need for more video subtitles or wants to see more written content from your brand, you can use NLP transcription tools to fulfill this request.
7. Voice Assistants
Voice assistants are one of the most widely used applications of NLP. Many people use the help of voice assistants on smartphones and smart home devices. These voice assistants can do everything from playing music and dimming the lights to helping you find your way around town. They employ NLP mechanisms to recognize speech so they can immediately deliver the requested information or action.
8. Email Classification
Modern email filter systems leverage Natural Language Processing (NLP) to analyze email content, intelligently categorize messages, and streamline your inbox. By identifying keywords and message intent, NLP ensures spam and unwanted messages are kept at bay while facilitating effortless email retrieval. Experience a clutter-free inbox and enhanced efficiency with this advanced technology.
Powerful Transcription With Sonix
Natural language processing gives business owners and everyday people an easy way to use their natural voice to command the world around them. Using NLP tools not only helps you streamline your operations and enhance productivity, but it can also help you scale and grow your business quickly and efficiently. If you’re ready to take advantage of all that NLP offers, Sonix can help you reap these business benefits and more. Start a free trial of Sonix today and see how natural language processing and AI transcription capabilities can help you take your company — and your life — to new heights.