Search Results for "language processing" - Page 22

This is a toolkit for medical natural language processing (NLP). The core engine is general enough to be used in a variety of text processing domains, though the toolkit includes specific support for medical reports and patient de-identification.

Collection of Python scripts providing interactions between the sociological investigation platform and webservices (such as NLP, search engine, web database).

The Infomap NLP software performs automatic indexing of words and documents from free-text corpora, using a variant of LSA to enable information retrieval and other applications. It was developed by the Infomap Project at Stanford University's CSLI.

AutoSummary uses Natural Language Processing to generate a contextually-relevant synopsis of plain text. It uses statistical and rule-based methods for part-of-speech tagging, word sense disambiguation, sentence deconstruction and semantic analysis.

TaxonGrab is an NLP (Natural Language Processing) solution written in PHP, which leverages systematic nomenclature rules that are used for taxonomic nomenclature in scientific publications.

The Language Processing Agency provides agents and an agent-oriented infrastructure for developing language processors in .NET. Typical language processors are transformation tools, extraction tools, language interpreters, etc.

JFex is a feature extraction application for Natural Language Processing systems based on machine learning techniques.

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.

The nlpFarm is a Natural Language Processing (NLP) resource where early research prototypes (Java) can evolve into robust and useful open source. Our farmstead collaborates under the OpenNLP initiative, in order to make NLP software publically available.

uNLPBot is a chatter bot based on Natural Language Processing theory, able to parse small but representative subsets of english natural language and to produce english sentences compliant to english grammar and related to conversation threads.

A library of Natural Language Processing (NLP) functions for use in REALbasic (RB) programs, all implemented in pure RB code.

The Aikernel is an intelligence server and cell runtime environment that uses natural language processing and other pattern matching with Activators, Contexts, Concepts to allow multi tasking between installed cells.

Grok is a library of natural language processing components, including support for parsing with categorial grammars and various preprocessing tasks such as part-of-speech tagging, sentence detection, and tokenization.

WhiteBeer is a new programming paradigm that is motivated by Noam Chomsky's Minimalist Program. It uses feature checking mechanism to parse programs so that it can provide word-order-independence like natural language processing.

A Java application for statistical analysis and systematic manipulation of natural language texts.

...This architecture allows the system to maintain strong reasoning capabilities while improving throughput and reducing the computational cost associated with large context processing. The model is designed as a general-purpose language system capable of handling tasks such as chat interaction, coding assistance, document analysis, and instruction following.

The Mistral Small 4 collection is a set of open-weight large language models developed by Mistral AI that aim to unify multiple capabilities, including instruction following, reasoning, and coding, within a single efficient architecture. These models are part of the broader Mistral Small family, which is designed to deliver strong performance across a wide range of everyday AI tasks while maintaining relatively low latency and efficient deployment requirements. The collection reflects an...

Leni is an experimental human language recognition and processing tool which is based on learning and therefore nearly independent on any particular spoken language.

Metafrastes is a natural language processing system that can take an input query from the user and translate that internally in order to communicate with a knowledge base in the form of an ontology.

NXTAI's main objective is to create a new generation of natural language processing program by using a unique neural networking model. To demonstrate the algorithm works, A chatbot will be developed as a classical example of how it can be used.

This project aims at creating rationally thinking agents. The agent gather information through command line or network and stores it in its memory. It uses Stanford's NLP library to understand the language statements.

The OBO-Annotator is a semantic NLP tool that is designed to give its end-users a great deal of flexibility to combine any number of OBO ontologies from the OBO foundry regardless of their format and use them to annotate text-bases.

Bio_ClinicalBERT is a domain-specific language model tailored for clinical natural language processing (NLP), extending BioBERT with additional training on clinical notes. It was initialized from BioBERT-Base v1.0 and further pre-trained on all clinical notes from the MIMIC-III database (~880M words), which includes ICU patient records. The training focused on improving performance in tasks like named entity recognition and natural language inference within the healthcare domain. ...

MiMo-V2.5 is a native omnimodal large language model developed by Xiaomi, designed for advanced agentic workflows, multimodal reasoning, and long-context processing. Built on a Mixture-of-Experts architecture with approximately 309B total parameters and around 15B activated per inference, it balances high capability with efficient execution. The model natively processes text, images, video, and audio within a unified system, enabling cross-modal understanding and complex task execution in a single pipeline. ...

DeepSeek-V4-Flash is a preview Mixture-of-Experts language model built for efficient million-token context intelligence. It has 284B total parameters with 13B activated and supports a 1M-token context window, making it suitable for long-document reasoning, complex coding, agentic workflows, and large-scale information processing. The model uses a hybrid attention architecture that combines Compressed Sparse Attention and Heavily Compressed Attention to improve long-context efficiency, while Manifold-Constrained Hyper-Connections strengthen signal stability across layers. ...