Search Results for "language processing"

Roadmap To Learn Generative AI In 2025 is a curated learning path focused on contemporary generative AI — covering large language models (LLMs), diffusion-based image generation, prompt engineering, multi-modal AI, fine-tuning techniques, and the practical considerations for deploying generative models. It’s aimed at learners and developers who already have some programming or ML basics and wish to specialize in generative AI, offering a modern, structured plan that reflects the state of the...

Companion notebooks for Deep Learning is a collection of Jupyter notebooks that accompany François Chollet’s deep learning curriculum, providing hands-on implementations of key concepts using practical examples. The project covers a wide range of topics, including neural networks, computer vision, natural language processing, and sequence modeling. Each notebook is structured to combine theoretical explanations with executable code, allowing users to experiment and learn interactively. The material is designed to be accessible while still covering advanced topics, making it suitable for both beginners and intermediate practitioners. It leverages modern libraries and frameworks to demonstrate real-world applications of deep learning techniques. ...

The Grand Complete Data Science Materials is a repository curated by a data-science educator that aggregates a wide range of learning resources — from basic programming and math foundation to advanced topics in machine learning, deep learning, natural language processing, computer vision, and deployment practices — into a structured, centralized collection aimed at learners seeking a comprehensive path to data science mastery. The repository bundles tutorials, lecture notes, project outlines, course materials, and references across topics like Python, statistics, ML algorithms, deep learning, NLP, data preprocessing, model evaluation, and real-world problem solving. ...

...It contains implementations and examples from the book, covering classic AI techniques through Lisp programs. The repository includes systems for symbolic reasoning, search, rule-based inference, natural language processing, pattern matching, logic programming, and game-playing examples. It is valuable for readers who want to study the original code while working through the text or revisiting older AI ideas. The code also serves as a historical reference for how AI programming was taught before today’s deep-learning-centered ecosystem. paip-lisp is best suited for learners interested in Lisp, symbolic AI, and the foundations of practical AI programming.

Virastyar is a free and open-source (FOSS) spell checker. It stands upon the shoulders of many free/libre/open-source (FLOSS) libraries developed for processing low-resource languages, especially Persian and RTL languages Publications: Kashefi, O., Nasri, M., & Kanani, K. (2010). Towards Automatic Persian Spell Checking. SCICT. Kashefi, O., Sharifi, M., & Minaie, B. (2013). A novel string distance metric for ranking Persian respelling suggestions. Natural Language Engineering, 19(2), 259-284. ...

...Searching with this tool is query-based not word-based as in most of the document search tools OR document readers. It also takes care of jumbling of words within query and spelling mistakes. Commonly used techniques in this project are Natural Language Processing, Information Extraction and Question-Answering Architecture. ---------------------- - Latest Version - ---------------------- Details of latest version can be found on project website - http://geekdadaji.com --------------------------- - CONTACT DETAILS - --------------------------- CREATOR : SWAPNIL A JADHAV (saj1919) EMAIL ID : dadajibudhau@gmail.com WEBSITE : http://geekdadaji.com LICENSE : CC BY-NC 4.0

No more support for this project - TAKE A LOOK AT FALCONSEARCH "https://sourceforge.net/projects/falcontextsearch/"

A system to perform analysis of large documents for the purpose of cataloging similar documents. Similarity is based upon contextual analysis of these documents done by identifying common words and proper nouns.

A java library for the processing and analysis of natural language texts and other sequential data. The focus is on unsupervised modeling with simple, statistical methods as well as implementations of more complex algorithms.

The Scheme Natural Language Toolkit (S-NLTK) is a Scheme R6RS library for language and text processing, and various tasks related to symbolic and statistical analysis of language data.

Facilitates data mining/natural language processing experiments to be executed on weblogs, such as classification, clustering and rating. As part of these experiments, it is possible to apply Latent Semantic Analysis.

MathUtils is a small collection of usesful math-processing programs for Windows/Unix fammily, write in object pascal language. Applications are very simple to use.

twexter formats twin twext translations to help us learn language .. demo: http://test.twext.com .. javascript code is open at http://github.com/tudisco/twexter

Collection of tools for input, reading, processing, and typesetting Taiwanese language. Includes SCIM and quail input methods, Firefox dictionary plugin, plus scripts for LaTeX and HTML generation.

JCPUSim is a CPU (Central Processing Unit) simulator written in Java. It is intended to aid in teaching how the fetch-decode-execute cycle, CPU, registers, memory and assembly programming language work in a computer system.

Partgen is a simple particle system generator and simulator. It's intended to have a 3D scene description language, and batch processing mode. Support for some scripting languages like ruby is also planned

Tools for Vietnamese Language

CoPT, Corpus Processing Tools, is a set of java classes intended to assist field linguists, NLP researchers and developers, students and software developers in all corpus-related processing.

It's a tools generating some graphics interfaces for applications in Java language. It's to gain a lot of time while building some windows. The Swings classes are very difficult to use! (especially the Layouts) We describe the windows content in XML!

Adapt is data conversion language developped in 1984 by Norman W. Molhant and Christophe Dupriez. It has been used in many circumstances, it translated itself in many programming environment and it should evolve now toward modern environments like Java.