Search Results for "statistical process control"

The MITRE Annotation Toolkit (MAT) is a suite of tools which can be used for automated and human tagging of annotations. Annotation is a process, used mostly by researchers in natural language processing, of enhancing documents with information about the various phrase types the documents contain. MAT supports both UI interaction and command-line interaction, and provides various levels of control over the overall annotation process. It can be customized for specific tasks (e.g., named entity identification, de-identification of medical records). ...

Stanford Phrasal is a state-of-the-art statistical phrase-based machine translation system, written in Java. At its core, it provides much the same functionality as the core of Moses. Distinctive features include: providing an easy to use API for implementing new decoding model features, the ability to translating using phrases that include gaps (Galley et al. 2010), and conditional extraction of phrase-tables and lexical reordering models.

...Označevanje slovenskih besedil je zelo težak problem, saj mora algoritem za označevanje pravilno izbirati med skoraj dva tisoč oznakami (število različnih oznak za označevanje angleškega besedila je zgolj okoli šestdeset). Izvorna koda je na GitHub-u (glej Wiki). // The aim of the Obeliks project is to develop the most accurate statistical tagger for the Slovene language. Morphosyntactic tagging is the process of categorizing a word in a text into a particular part of speech category and describing it with various morphological features related to that category. The source code is on GitHub (see Wiki).

Supertagging is a process of statistical lexical disambiguation, preprocessing step to parsing, which assigns LTAG tree categories to the lexical items present in the input sentence. Thus, if the input sentence is in the form of a dependency tree, the task of the supertagger is to assign the most probable TAG family to each node and edge in the dependency tree.