Search Results for "natural language processing"

...It provides object-oriented classes for databases, collections, queries, and operations, so PHP developers can compose CRUD and aggregation pipelines without writing low-level protocol code. Built on top of the underlying MongoDB PHP extension, the library handles serialization, connection pooling, and error handling in a way that feels natural in idiomatic PHP. It supports rich query expressions, bulk writes, change streams, transactions, and GridFS, making it suitable for everything from simple content apps to complex data processing services. The project also includes helpers for working with BSON types such as ObjectId, UTC datetime, and decimals, which helps bridge the gap between native PHP types and MongoDB’s storage model.

ODABA is an terminology-oriented database management system (TODBMS) on a high conceptual level. It provides a number of enhanced features based on natural language analysis. Terminology orientation allows designing user oriented data models. Enhanced event model and Active Data Link technology support rapid development of GUI applications. Several development, documentation, test and analyzing tools are provided in order to support developers and administrators. .NET interface and a powerful object-orjented script language (OSI) improve development efficiency.

...Simple declaration of a DB table: @DBTableName("mytable") public class MyTable extends DBRow { @DBColumn("numeric_code") @DBForeignKey(Code.class) private DBNumber numericCode = new DBNumber(); @DBColumn("uid_mytable") @DBPrimaryKey @DBAutoIncrement private DBNumber uidMyTable = new DBNumber(); } Easy Gets: List<MyTable> myRows = myDB.get(new MyTable()); MyTable row = myDB.getDBTable(new MyTable()).getByPrimaryKey(61176904); Natural and Outer Joins and Criteria: CarCo carCo = new CarCo(); carCo.name.isLiterally("GM"); List<DBQueryRow> results = myDB.get(carCo, new Marque()); dbQuery.addOptional(new CarModel()); Easy debugging: query.getSQLForQuery(); Simple processing: db.print(query.getAllRows()); List<Marque> marques = query.getAll

XAIRA (XML Aware Indexing and Retrieval Architecture) supports indexing and analysis of large XML textual resources such as natural language corpora.

KML is a knowledge base with support of logical modeling. Advanced model is used to represent knowledge as a set of statements similar to natural language sentences. This project hosts a set of model storage library and server (vrb-ols) and clients.

A Prolog expert system supporting querying and extending the knowledge base from a command-line interface using a format oriented on natural language, with the aim of being maintainable by the domain expert (i.e. without requiring programming skills).

Development of a semi-automatic natural language translation system. The basic idea is to make a smart object database of all kinds of standard messages with their translation in various languages and write an easy to use API to access the DB.

Butler is a program that can take natural language input and search for the information that the user wants. It is in C# .NET. For example, the user might say \"Tell me about the Grand Canyon.\" The program would say, \"The Grand Canyon is in Arazona.\"

Talisman is an interpreter for a logical markup language. This language contains the content and logic of a web (or, in the future, Java Swing) based user interface, including arbitrary datatypes and processing actions.

This is a sample implementation of the TransQuery processing model, enabling the use of XSLT as a query language over multiple XML documents. See <a href="http://www.xmlportfolio.com/transquery">http://www.xmlportfolio.com/transquery</a> for more info.

Language-independent interfaces like DOM, SAX and XSLT are not particularly "Pythonic". Several tools are contained in this "XML2Python Interfaces" project that provide more natural ways of translating between XML and Python objects.