27 projects tagged "Artificial Intelligence"
Updated 07 Oct 2011
OpenEphyra
| Pop | 55.68 |
|---|---|
| Vit | 3.06 |
OpenEphyra is a question answering (QA) system. It retrieves answers to natural language questions from the Web and other sources. OpenEphyra comes with implementations of algorithms that proved effective in Carnegie Mellon's Ephyra system, which participated in the TREC evaluations. It is platform independent and can be set up in just a few minutes. The goal of this project is to give researchers the opportunity to develop new QA techniques without worrying about the end-to-end system.
Updated 31 Aug 2009
Apertium
| Pop | 34.51 |
|---|---|
| Vit | 43.21 |
Apertium is a machine translation platform, initially aimed at related-language pairs, but recently expanded to deal with more divergent language pairs (such as English-Catalan). The platform provides a language-independent machine translation engine, tools to manage the linguistic data necessary to build a machine translation system for a given language pair, and linguistic data for a growing number of language pairs.
Updated 22 Dec 2008
Open Translation Engine
| Pop | 78.99 |
|---|---|
| Vit | 5.80 |
Open Translation Engine (OTE) is a Web-based system to enable community management of translation dictionaries.
Updated 18 Oct 2008
Cypher
| Pop | 25.00 |
|---|---|
| Vit | 3.54 |
Cypher is an AI program that generates the RDF graph and SPARQL query representations of plain language input, allowing users to speak plain language to update and query databases. With robust definition languages, Cypher's grammar and lexicon can quickly and easily be extended to process highly complex sentences and phrases of any natural language, and can cover any vocabulary. Equipped with Cypher, programmers can begin building next generation semantic Web applications that harness natural language.
Updated 17 Mar 2008
Free Logic Form
| Pop | 13.42 |
|---|---|
| Vit | 1.00 |
Free Logic Form is a system for generating logic forms of English sentences. . It works by postprocessing the output of the Enju predicate parser.
Updated 11 Mar 2008
Algraeph
| Pop | 33.14 |
|---|---|
| Vit | 1.00 |
Algraeph is a tool for manual alignment of linguistic graphs, such as phrase structure trees or dependency structures, where each node corresponds to a subsequence of the analyzed input sentence. It allows you to express the similarity between two graphs by aligning their nodes and attaching relation labels to these alignments. Graphs are read from one or more graphbanks (or treebanks) in the GraphML or Alpino formats. Alignment relations are user-defined and are stored in a simple XML format, which can be used for further processing. The resulting parallel graph corpus is a useful data set for many tasks in computational linguistics and natural language processing.
Updated 29 Feb 2008
Grammar Browser
| Pop | 34.73 |
|---|---|
| Vit | 1.00 |
Grammar Browser provides a simple-to-use graphical interface to the grammatical structure and relations of any text, as parsed by the Stanford Parser. It contains a grammatical relation editor to modify, import, and export grammatical relation definitions (tregex patterns and features).
Updated 22 Mar 2007
SlpTK
| Pop | 17.46 |
|---|---|
| Vit | 1.63 |
SlpTK is an ANSI C library, a set of utilities, and scripts for natural language processing. It provides data structures and treatments related to lexical and syntactic levels.
Updated 17 Jan 2007
ddc-concordance
| Pop | 36.11 |
|---|---|
| Vit | 2.31 |
ddc-concordance is a search engine for linguists. It lets you search for words or sequences of words together with morphological patterns. It was created to help linguists find a particular collocation or word in a given context.
Updated 27 Aug 2006
SenseClusters
| Pop | 17.20 |
|---|---|
| Vit | 1.00 |
SenseClusters is a natural language processing package that allows you to cluster similar contexts or to identify clusters of related words. It supports its own native methods based on first and second order representations of context, and also supports Latent Semantic Analysis. It is fully unsupervised, and can automatically discover the optimal number of clusters in your text. SenseClusters is a complete system that takes users from preprocessing of raw text to providing clustered output.
