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SPPAS - the automatic annotation and analyses of speech
SPPAS is a scientific computer software package written and maintained by Brigitte Bigi of the Laboratoire Parole et Langage, in Aix-en-Provence, France.
Available for free, with open source code, there is simply no other package for linguists to simple use in the automatic annotations of speech, the analyses of any kind of annotated data and the conversion of annotated files.
This project has the language data for spel,
the main new codebase is at:
https://gitlab.com/liberit/pyac
A computer programming language using human language syntax
for human-to-human and human-to-computer communication
with high precision, supporting many languages.
Currently has alpha prototype support for analytic versions of the UN languages English, Mandarin Chinese, Spanish, Arabic, Russian...
We describe a simple XML format to share text documents and annotation
A minimalist approach to share text documents and data annotations. Allows a large number of different annotations to be represented.
Project files contain:
- simple code to hold/read/write data and perform sample processing.
- BioC-formatted corpora
- BioC tools that work with BioC corpora
BioC goals
- simplicity
- interoperability
- broad use
- reuse
There should be little investment required to learn to use a format or a software module to process that format. We are interested in reuse, and we focus on common NLP tasks that are broadly useful for textmining.
Software for speech research. It includes programs and libraries for signal processing, along with general purpose scientific libraries. Most of the code is in Python, with C/C++ supporting code. Also, contains code releases corresponding to publishe
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Better PO Editor is an editor for .po files, used to generate compiled gettext .mo files which are used by many programs and websites to localize the user interface. It offers great features... It's worth to give it a try!
PLEASE NOTE: the project moved to GitHub: see https://github.com/mlocati/betterpoeditor/releases
An ongoing project to collate and provide access to language data
Includes
• Scripts for the program/ code developed
• High level architecture diagrams
• Install guides for developers
• Links to end user documentation on the AusNC website
Note: The BSD license applies to customised plug-ins, scripts and ingest programs developed by the AusNC project team. Additional open source, 3rd party software products used by the AusNC solution are referenced on our SF wiki space.
This is a Java-based project for complex event extraction from text and co-reference resolution. Currently the code can read BioNLP shared task format (http://2011.bionlp-st.org/) and i2b2 Natural Language Processing for Clinical Data shared task format (https://www.i2b2.org/NLP/DataSets/Main.php). Event extraction includes finding events and the parameters for an event in a text.
The method is based on SVM but other ML algorithms can be adopted. The method details are explained in the...
C4 is a C++ class library for analyzing sound files, particularly spoken and sung phonations. C4 provides features such as frequency analysis, pitch extraction, or calculation of voice quality parameters (e.g. alpha ratio, HNR, jitter, etc.).
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