Metadata, the information we create, store, and share to describe things, allows us to interact with these things to obtain the knowledge we need. Often [more…]
Natural Language Processing (NLP) is a branch of Artificial Intelligence (AI) that enables computers to understand human natural languages. It focuses on the interaction between the computer and the human and involves the development of algorithms that enable computers to tag, label, classify and interpret human language in a way that is valuable and meaningful.
When software products are developed for distribution in a locale, technical issues affecting software development and the subsequent localisation process must be considered. Localisation is not a matter of transferring technology to a target market. It is a cultural conventions that must be handled in computer programmes to give its products
Conversational Analysis examines and analysing what was said, why it was said and how it was said. A key concepts in conversational analysis is the idea of "sequential organization," which explores how actions and responses are structured in conversation. This involves studying the way speakers take turns, initiate topics, respond to each other, and manage
A content could be translated to educate, engage, and, ultimately, share knowledge with a community of people, be it for business use, social or research—e.g., blog posts, white papers, videos, pod casts, etc.— Translating a content is attuning content to a specific audience that speaks a different language or is located in another geographical area.
Translation studies is an academic interdiscipline dealing with the systematic study of the theory, description and application of translation, interpreting, and localization. As an interdiscipline, translation studies borrows much from the [more…]
Natural Language Processing (NLP) intersects multiple disciplines to understand and analyze natural language, aiming to formalize both Arabic and English syntax for applications like information retrieval. Text Analysis converts unstructured text to structured data, crucial for deriving insights across industries. It involves techniques like syntactic parsing and lexical chaining. Text analytics helps organizations with decision-making by identifying trends, opinions, and improving search engines, essential for businesses, research, and governance.
In corpus linguistics, POS Tagging (Parts of Speech Tagging) also called grammaticaltaggingis a process of marking up words in text format for a particular part [more…]
Space, Time, characters, events, causation and relationships are things that we expect to encounter in the study of the physical world, but the work of [more…]