pylangacq.org

PyLangAcq: Language Acquisition Research in Python — PyLangAcq 0.9dev documentation

PyLangAcq: Language Acquisition Research in Python. PyLangAcq is a Python library primarily for language acquisition research. An important goal is allow very flexible and powerful handling of CHILDES data in any custom programs for computational modeling. Comprehensive capabilities of handling CHAT transcripts as used in CHILDES. Intuitive data structures for flexible data access and all sorts of modeling work. Standard developmental measures such as TTR, MLU, and IPSyn readily available. If you have an...

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PyLangAcq: Language Acquisition Research in Python — PyLangAcq 0.9dev documentation | pylangacq.org Reviews

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PyLangAcq: Language Acquisition Research in Python. PyLangAcq is a Python library primarily for language acquisition research. An important goal is allow very flexible and powerful handling of CHILDES data in any custom programs for computational modeling. Comprehensive capabilities of handling CHAT transcripts as used in CHILDES. Intuitive data structures for flexible data access and all sorts of modeling work. Standard developmental measures such as TTR, MLU, and IPSyn readily available. If you have an...

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PyLangAcq: Language Acquisition Research in Python — PyLangAcq 0.9dev documentation | pylangacq.org Reviews

https://pylangacq.org

PyLangAcq: Language Acquisition Research in Python. PyLangAcq is a Python library primarily for language acquisition research. An important goal is allow very flexible and powerful handling of CHILDES data in any custom programs for computational modeling. Comprehensive capabilities of handling CHAT transcripts as used in CHILDES. Intuitive data structures for flexible data access and all sorts of modeling work. Standard developmental measures such as TTR, MLU, and IPSyn readily available. If you have an...

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pylangacq.org

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tech-report-2016

http://pylangacq.org/papers/tech-report-2016.html

This page contains code associated with the following technical report:. Lee, Jackson L., Ross Burkholder, Gallagher B. Flinn, and Emily R. Coppess. 2016. Working with CHAT transcripts in Python. Technical Report TR-2016-02, Department of Computer Science, University of Chicago. Questions and comments can be directed to Jackson Lee. All code runs in Python 3.4 . Download. This page as a. Importing all necessary libraries ¶. Inline # libraries from the Python standard library. Part 1: Computing MLUm ¶.

2

Download and install — PyLangAcq 0.9dev documentation

http://pylangacq.org/download.html

PyLangAcq requires Python 3.4 or above. The latest stable release. Version 0.9dev) – hosted at PyPI. And therefore available via. Python3 -m pip install pylangacq. Is meant to point to your Python 3 interpreter. Administrative privileges (e.g.,. On Unix-like systems) may be required. The stable release version is what the full documentation describes, unless otherwise noted. Under testing and development. 8211; available at the GitHub repository. To test your installation:. Word frequency and ngrams.

3

Accessing metadata — PyLangAcq 0.9dev documentation

http://pylangacq.org/metadata.html

Object has an array of methods for accessing metadata (based on headers given by the. Lines) and data (the transcriptions with. And dependent tiers with. This page introduces the metadata methods. For data methods, see Transcriptions and annotations. For details of the. Class, see The Reader class API. If you are running a script on Windows. Be sure to put all your code under the scope of. Module to read data files.). Metadata methods for handling information from the. Information for that participant).

4

Reading data — PyLangAcq 0.9dev documentation

http://pylangacq.org/read.html

This page provides details of the CHAT data format that PyLangAcq assumes and explains how CHAT data files are read. The CHAT transcription format. Initializing a Reader instance. Adding and removing transcripts in a reader. If you are running a script on Windows. Be sure to put all your code under the scope of. Module to read data files.). The CHAT transcription format. Dated September 22, 2015.). A CHAT transcript file (typically with the extension name. Among the many possible headers,. The participan...

5

Tutorial — PyLangAcq 0.9dev documentation

http://pylangacq.org/tutorial.html

This page introduces the basic functionalities of PyLangAcq and points to relevant pages of the library documentation for more advanced usage. Testing the library installation. Word frequency info, ngrams, search, and concordance. Acquisition by linguistic areas. If you are running a script on Windows. Be sure to put all your code under the scope of. Module to read data files.). Testing the library installation. To test that PyLangAcq is installed on your system (see Download and install. Files for Eve (.

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Projects using Sphinx — Sphinx 1.4.6 documentation

http://www.sphinx-doc.org/examples.html

Documentation using the alabaster theme. Documentation using the classic theme. Documentation using a customized version of the classic theme. Documentation using the sphinxdoc theme. Documentation using another builtin theme. Documentation using a custom theme/integrated in a site. Homepages and other non-documentation sites. Books produced using Sphinx. I’ve grouped the list into sections to make it easier to find interesting examples. Documentation using the alabaster theme. Heapkeeper: http:/ heapkee...

jacksonllee.com

Jackson L. Lee - Homepage

http://www.jacksonllee.com/index.html

Jackson L. Lee. PhD Student in Linguistics. Expected completion in 2016). Email: jsllee AT uchicago DOT edu. Areas: Computational linguistics, language acquisition, phonology, morphology. My research aims at understanding how linguistic structure can be learned from raw data. Supervised by John Goldsmith, my dissertation research. Focuses on morphological paradigms. My work has led to the active development of open-source tools for computational linguistic research:. I am also here: GitHub. Current: Stud...

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Sphinxを使用しているプロジェクト — Sphinx 1.4.4 ドキュメント

http://docs.sphinx-users.jp/examples.html

PyLangAcq: http:/ pylangacq.org/. APSW: http:/ apsw.googlecode.com/svn/publish/index.html. ASE: https:/ wiki.fysik.dtu.dk/ase/. Calibre: http:/ manual.calibre-ebook.com/. CodePy: https:/ documen.tician.de/codepy/. Cython: http:/ docs.cython.org/. Cormoran: http:/ cormoran.nhopkg.org/docs/. Director: http:/ pythonhosted.org/director/. Dirigible: http:/ www.projectdirigible.com/. F2py: http:/ f2py.sourceforge.net/docs/. GeoDjango: https:/ docs.djangoproject.com/en/dev/ref/contrib/gis/. PyCuda: https:/ docu...

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pylangacq.org

PyLangAcq: Language Acquisition Research in Python — PyLangAcq 0.9dev documentation

PyLangAcq: Language Acquisition Research in Python. PyLangAcq is a Python library primarily for language acquisition research. An important goal is allow very flexible and powerful handling of CHILDES data in any custom programs for computational modeling. Comprehensive capabilities of handling CHAT transcripts as used in CHILDES. Intuitive data structures for flexible data access and all sorts of modeling work. Standard developmental measures such as TTR, MLU, and IPSyn readily available. If you have an...

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