Best NLP Tools in 2024 | Top Natural Language Processing Techniques

Natural language processing (NLP) has become an essential component of artificial intelligence that enables computers to understand and work with human language. It is widely used in various applications such as chatbots, virtual assistants, language translation, and sentiment analysis, among others.

Recent advancements in AI have resulted in the development of natural language processing tools that use machine learning, deep learning, and neural networks. In this article, we have listed the top 3 NLP tools that let users manage and analyze large volumes of text data and language translation.

Moreover, we'll guide utilizing CapCut, an video editor, to convert written text into speech for free.

What is natural language processing

Human communication is mainly based on the use of words and text, which are referred to as natural language. People exchange a vast amount of information every day in various languages through speech or text. While computers excel at numerous high-level tasks, they cannot traditionally communicate like humans.

However, Natural language processing (NLP) bridges this gap by combining linguistics and computer science. NLP involves creating models that can analyze, understand, and extract meaningful information from both text and speech, enabling computers to comprehend and respond to human language effectively.

Top 3 NLP tools in 2024

Python tools

Python is a programming language that assists computers in understanding human language. It is a versatile language that comes with various tools for processing natural language, which makes it easier for developers to work with. These tools are like pre-made kits that handle most of the complex tasks, freeing up the developers' time to focus on the critical aspects of their projects.

Here are the top 3 natural language processing libraries in Phyton:

• Natural Language Toolkit (NLTK)

NLTK is an open-source library for natural language processing in Python. It provides a wide range of tools to work with human language data, such as tokenization, stemming, tagging, parsing, and semantic reasoning. NLTK is highly regarded for its ease of use and extensive collection of resources, making it a popular choice for educational and research purposes.

• SpaCy

SpaCy is a natural language processing library in Python that is designed to be fast and efficient for use in production environments. It is particularly effective in tasks such as part-of-speech tagging, entity recognition, and dependency parsing. SpaCy is widely used in industry applications for tasks like information extraction and text analysis, thanks to its speed and simplicity.

• PyTorch-NLP

PyTorch-NLP is a library that is developed on top of PyTorch with the specific aim of assisting in natural language processing tasks. It offers various utilities for common NLP tasks, including tokenization, language modeling, and sequence labeling. It provides a smooth integration with PyTorch, thus allowing users to enjoy the strength of deep learning for numerous natural language processing applications

Node tools

Node.js is a powerful tool for running natural language projects, which can greatly enhance human-computer interactions. With Node.js natural language processing, the main focus is on understanding the meaning behind what people are saying. By incorporating Node.js into your applications, you can ensure that they can fully comprehend the language you use.

Here are the top 3 natural language processing libraries in Node:

• Retext

Retext is a powerful tool for Node.js that uses natural language processing to transform text using plugins. These plugins are capable of analyzing and modifying natural language, making them like a language magician for your text. With Retext, you can easily perform tasks such as identifying keywords, correcting grammar, and even understanding the sentiment behind words.

• Compromise

Compromise is a useful Node.js tool that lets you manipulate language. It provides a platform where you can deconstruct sentences, discover the definitions of words, and create new expressions. Compromise proves to be beneficial for text analysis tasks, thus serving as a valuable resource for developers who handle natural language in their Node.js projects. However, if you are looking for an advanced algorithm, this tool is not for you.

• Nlp.js

Nlp.js is a reliable library for natural language processing in Node.js. It works like a language expert right inside your code, assisting with tasks such as tokenization, named entity recognition, and sentiment analysis. Nlp.js is easy to use and highly adaptable, making it a top choice for developers who want to incorporate the capabilities of natural language processing into their Node.js applications.

Java tools

Java has been a reliable programming language in the technology industry for more than a decade. It offers a wide range of tools and libraries for developers to create mobile applications, delve into deep learning, and more. With the addition of Java natural language processing, it adds another exciting skill to its repertoire.

Here are the top 3 natural language processing libraries in Java:

• OpenNLP

OpenNLP is a robust Java-based library that offers significant capabilities in natural language processing. It assists developers in analyzing and extracting relevant information from human language. OpenNLP provides a set of tools that can perform crucial tasks such as tokenization, named entity recognition, and language modeling to work with text efficiently.

• CogCompNLP

CogCompNLP is a Python library that simplifies text processing by enabling both local and remote operations. It provides essential features such as tokenization and part-of-speech tagging, making it a valuable tool for research purposes. However, its suitability for production workloads is uncertain. Nonetheless, if you are working with Java, it is a tool worth exploring.

• StanfordNLP

StanfordNLP is a powerful Java-based natural language processing toolkit. It can perform a wide range of tasks, such as part-of-speech tagging, sentiment analysis, and dependency parsing. Thanks to its user-friendly design and rich set of features, StanfordNLP is a popular choice among Java developers who work on various natural language processing projects.

What are the applications of natural language processing? NLP Techniques

• Machine translation

NLP plays a significant role in machine translation by allowing the automatic translation of text from one language to another. Advanced algorithms analyze linguistic patterns to provide accurate and coherent translations, which is helpful for communication across language barriers.

• Text summarization

NLP techniques are used in text summarization to condense lengthy passages into concise and coherent summaries. These methods identify key information, extract essential details, and generate condensed versions of the original text. This application is beneficial for quickly extracting insights from voluminous textual content.

• Speech recognition

NLP enables machines to convert spoken language into text for speech recognition. This technology is widely used in voice-activated virtual assistants like Siri or Google Assistant, transcription services, and interactive voice response systems. NLP techniques enhance accuracy in recognizing diverse accents, intonations, and speech patterns, making them a versatile tool in various applications.

Evolution of NLP tools: Unlock natural language processing in videos

Similar to many other technological fields, NLP has gone through significant changes, driven by the rise of AI and machine learning algorithms. This change has been further evolved by improvements in using parallel computing power and the emergence of deep learning technology.

The evolution of Natural language processing (NLP) tools and techniques has led to a transformation in video content creation. The text-to-speech function, in particular, has let creators enhance accessibility and make videos inclusive for diverse audiences, especially those with visual impairments.

NLP tools with multilingual capabilities have extended the reach of videos globally by smoothing narration and translation processes and reducing the need for external voices. Dynamic customization options have allowed creators to adjust auditory experiences, while educational content has benefited from immersive voiceovers.

The ultimate natural text-to-speech converter: CapCut video editor

If you find using Java, Python, or other tools difficult, don't worry! CapCut, an video editor, is here to help with an easy solution. It is an intelligent platform that uses advanced technology to convert text into speech, offering a range of languages and voices. Whether you're a beginner or an expert, you can use this platform for free to give your videos that special touch.



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• Text-to-speech with AI characters

If you are a storyteller in search of a text-to-speech solution with AI characters, look no further than the CapCut video editor. You can choose between male, female, or children's voices and easily convert your written script into engaging voiceovers without the need to coordinate with a human narrator. It offers a variety of AI visual characters, including Mia, Justin, Victoria, Julia, and others, that can bring your script to life in a natural and human-sounding way. This feature is particularly useful for busy content creators who want to save both time and money.

• Automated captions and subtitles

For businesses looking to enhance global discoverability, the addition of multilingual captions and subtitles is crucial. CapCut video editor understands this need and has introduced an auto-caption feature that generates captions with just one click. You simply select the language used in the media, and the captions will be generated. If you discover any errors in the auto-caption, it lets you edit it manually. Furthermore, you can upload caption files in Irc, ass, and srt formats for added flexibility.

• Transcribe video in seconds

Transcribing videos in seconds is a valuable feature, especially for educators managing a teaching YouTube channel. Transcript-based editing feature of the CapCut video editor ensures the precise documentation of complex concepts or instructions, benefiting learners who prefer a combination of reading and watching videos. This time-saving capability eliminates the need for manual transcription and facilitates quick edits, enhancing efficiency in content creation.

• Supports translation into multiple languages

The CapCut video editor can be a valuable tool when you want to convey your message to a global audience. It comes with a translation feature that breaks down language barriers, making it easier for you to reach a broader audience. With this editor, video content can be automatically translated into multiple languages, eliminating the need for manual translation.

This not only smooths the process but also lets you deliver your message effectively, promoting a more significant impact across diverse linguistic backgrounds.

• Replace the video background in a few clicks

If you're looking to create promotional videos with attractive backgrounds but don't have the resources to shoot on-site, CapCut's video editor has got you covered. Its auto background removal feature is a lifesaver that instantly removes distracting elements from your video, giving it a professional look. Additionally, the background replacement feature allows you to choose a backdrop of your choice without requiring a green screen. This feature ensures that your videos have a consistent visual theme, making them more engaging and visually appealing.

• Ease your editing with pre-made video templates

CapCut has introduced a library of pre-made video templates to enhance its platform's user-friendliness. These templates are useful for creating social media content, promotional videos, course promos, and more. You can easily edit templates. They provide a convenient starting point that you can customize according to your unique style. By using these templates, you can save time and effort while ensuring a professional and polished look for your content. This feature is particularly valuable for those who are new to video editing.

• Collaborate with your team using free cloud space

Team collaboration is essential, especially when working on global projects. CapCut, the video editor, makes teamwork smoother by providing free cloud space. This feature lets you and your team collaborate easily, regardless of your geographical location. You can share project files smoothly, review edits, and provide real-time feedback.

The free cloud space promotes a sense of connectivity, making it convenient for team members to stay updated on project progress and contribute to the creative process.

How to convert text to speech with CapCut video editor?

Step
1. Download and upload your video
2. Visit CapCut’s official and download the CapCut desktop video editor on your device. Sign in after installation, use your TikTok, Facebook, or Google account.
3. Click "Create project" and select "Import” from the tab. Upload the video from your device and drag and drop it into the timeline.
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Step
6. Convert text to speech
7. Select "Add heading" or "Add body text" in the text section from the toolbar and paste the text there. Click on text-to-speech in the right toolbar and choose the language and voice tones. CapCut introduces a free voice changer to provide various types of robotic voices, allowing you to choose the one that best matches your content. After selecting the voice, wait for a while, and the text will be converted into speech.
8. In addition, you can add visual characters that visually speak your content. You have the flexibility to adjust voice volume, pitch, and speed. CapCut also provides a diverse range of templates and text customization options.
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10. Review, download, or share

Now, go to the "Export" section, select codec, frame rate, resolution, and format, and export and download media to your device. Besides this, you can share your video on your social media accounts such as TikTok, Facebook, YouTube, and Instagram. You can also share it with your team members for review.



Conclusion

Natural language processing is a crucial aspect of AI applications, particularly in the conversion of text to speech. By utilizing NLP tools, the process becomes more streamlined. Above is a list of the top NLP tools based on Java, Python, and Node libraries. However, if these tools are unfamiliar to you and you simply want to transform your text into speech, the CapCut video editor is the solution you're looking for. It offers multiple robotic voices that closely simulate human speech. Its user-friendly interface makes it easy for anyone, whether a beginner or a professional, to create high-quality videos with ease.

Frequently Asked Questions

1. Are there any NLP tools?
2. Yes, there are many NLP tools, and for those looking for a user-friendly experience, the CapCut video editor stands out with its advanced text-to-speech capabilities.
3. What are the best NLP tools for text analysis?
4. CapCut video editor is among the best NLP tools for text analysis, offering multiple robotic voices and a smooth interface for creating professional-quality videos easily.
5. How do natural language processing tools work?

Natural language processing tools, like those in CapCut video editor, use advanced learning to convert text to speech, providing a human-like voice for your videos and simplifying the process for both beginners and professionals.