Abstract: The increasing occurrence of assaults on Natural Language Processing (NLP) systems has sparked worry about their resilience and trustworthiness, particularly in crucial applications like ...

The digital world thrives on language. From the simplest customer feedback to the most complex legal documents, text is the lifeblood of information. In 2025, Natural Language Processing (NLP) has ...

Some programming languages, such as Rust, Go, or TypeScript, are cool. Others, including Cobol and Java, are regarded as dull. However, while Java, which turned 30 on May 23, may not be the most ...

Test automation has always been about speed. We measured success by how many tests we ran per minute and celebrated shorter regression cycles. However, we now stand at the edge of the next evolution.

From chatbots to sentiment analysis, Natural Language Processing is shaping the future of AI-driven solutions. During an Expert Edge session with Shine.com, Ritesh Srivastava, an expert in data ...

eSpeaks’ Corey Noles talks with Rob Israch, President of Tipalti, about what it means to lead with Global-First Finance and how companies can build scalable, compliant operations in an increasingly ...

The Java ecosystem supports a host of outstanding back-end frameworks, including many written for modern languages like Scala and Kotlin. Here's how seven top frameworks for Java and JVM languages ...

Large Language Models (LLMs) have become indispensable tools for diverse natural language processing (NLP) tasks. Traditional LLMs operate at the token level, generating output one word or subword at ...

This paper investigates the application of Natural Language Processing (NLP) in AI interaction design for virtual experiences. It analyzes the impact of various interaction methods on user experience, ...