Search Results for "text summarization java code" - Page 13

XML-Lit is a simple language-independent literate programming system that works with any XML-based markup language.

Frosttie (FROnt-end SchemaTron Text Internet Engine) takes XHTML pages and processes them with various user-definable filters such a W3C's WAI, Section 508 (US) web usability compliance, ad removal, etc. It can be used with zKnowMan.

A fairly wide-ranging grab bag of reuseable Java classes and frameworks. No GUI code is included, but other than that there's a little something for everyone - text-based persistance, data structures, an OO text report engine, some handy tools for manipul

The main goal of this project is to create a programming editor, which allows editing the tree structure of the code instead of editing the linearization. This should be implemented using XML and XML Schemas, see homepage for details.

HotelCalifornia is a framework for converting XML to Java objects. HC::templator2 is a template based text generator. HC::org.smpl reconstructs E-R diagrams and uses Encoders to generate JSPs, JavaBeans, HTML database documentation, etc.

xsi (aka "xz") is primarily a source code browser. it comprehends a wide variety of syntaxes including lisp, c, c++, lex, perl, java, and even make. it is tolerant of sgml variants such as xml, html, etc. as well. xz can also be used as a text index

Java 2D PostScript Text builds on the Java 2D Graphics2D class to generate PostScript code for text-intensive, global printing applications. This includes support of CID fonts for multi-lingual printing.

BLEURT-20-D12 is a PyTorch implementation of BLEURT, a model designed to assess the semantic similarity between two text sequences. It serves as an automatic evaluation metric for natural language generation tasks like summarization and translation. The model predicts a score indicating how similar a candidate sentence is to a reference sentence, with higher scores indicating greater semantic overlap. Unlike standard BLEURT models from TensorFlow, this version is built from a custom PyTorch transformer library. ...

Llama-3.2-1B-Instruct is Meta’s multilingual, instruction-tuned large language model with 1.24 billion parameters, optimized for dialogue, summarization, and retrieval tasks. It builds upon the Llama 3.1 architecture and incorporates fine-tuning techniques like SFT, DPO, and quantization-aware training for improved alignment, efficiency, and safety. The model supports eight primary languages (including English, Spanish, Hindi, and Thai) and was trained on a curated mix of publicly available...

Project is aimed at syntax highlighting of code. It is not strictly oriented for any concrete language and enables user to define own language configuration.

VaultGemma is a sub-1B parameter variant of Google’s Gemma family that is pre-trained from scratch with Differential Privacy (DP), providing mathematically backed guarantees that its outputs do not reveal information about any single training example. Using DP-SGD with a privacy budget across a large English-language corpus (web documents, code, mathematics), it prioritizes privacy over raw utility. The model follows a Gemma-2–style architecture, outputs text from up to 1,024 input tokens,...