معرفی شرکت ها


dmengine-0.3.1


Card image cap
تبلیغات ما

مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.

مشاهده بیشتر
Card image cap
تبلیغات ما

مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.

مشاهده بیشتر
Card image cap
تبلیغات ما

مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.

مشاهده بیشتر
Card image cap
تبلیغات ما

مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.

مشاهده بیشتر
Card image cap
تبلیغات ما

مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.

مشاهده بیشتر

توضیحات

Distributed Morphology calculator
ویژگی مقدار
سیستم عامل -
نام فایل dmengine-0.3.1
نام dmengine
نسخه کتابخانه 0.3.1
نگهدارنده []
ایمیل نگهدارنده []
نویسنده Sebastian Bank
ایمیل نویسنده sebastian.bank@uni-leipzig.de
آدرس صفحه اصلی https://github.com/xflr6/dmengine
آدرس اینترنتی https://pypi.org/project/dmengine/
مجوز MIT
dmengine ======== |PyPI version| |License| |Supported Python| |Wheel| |Build| |Codecov| DM-engine is a Python implementation of **Distributed Morphology** (DM_). Distributed Morphology is a framework from theoretical linguistics that is used to describe the morphology (word structure) of natural languages. This package provides an engine that calculates the word forms that are generated by a given DM analysis. Analyses are entered as plain-text files in the human-friendly YAML_ format. Minimally, they consist of a **title**, an inventory of **feature values**, a list of insertable **vocabulary items** (VIs), and a list of **inputs** to be processed (see the example below). The ``dmengine`` command-line tool calculates the results and generates a detailed transcript of all calculations for later inspection. The resulting YAML file can be converted into a LaTeX-based report that can directly be compiled into a PDF file. Links ----- - GitHub: https://github.com/xflr6/dmengine - PyPI: https://pypi.org/project/dmengine/ - Issue Tracker: https://github.com/xflr6/dmengine/issues - Download: https://pypi.org/project/dmengine/#files Installation ------------ This package runs under Python 3.7+, use pip_ to install: .. code:: bash $ pip install dmengine This will also install the PyYAML_ and oset_ packages from PyPI as required dependencies. Converting the results to a **PDF report** also requires a **LaTeX distribution** (`TeX Live`_ and MikTeX_ should work). Make sure its executables are on your systems' path. Usage ----- Create a **plain text file** that defines your analysis: .. code:: yaml # example.yaml - simple demonstration of the analysis definition syntax title: English verbal agreement features: - value: V category: pos - value: Nom category: case - value: +1 category: person - value: +2 category: person - value: +3 category: person - value: -pl category: number - value: +pl category: number vis: - exponent: sleep features: [ V ] - exponent: -s features: [ Nom, +3, -pl ] - exponent: -Ø features: [ Nom ] paradigms: - name: Intransitive paradigm headers: [ [1, 2, 3], [sg, pl] ] inputs: - [ [V], [Nom, +1, -pl] ] - [ [V], [Nom, +1, +pl] ] - [ [V], [Nom, +2, -pl] ] - [ [V], [Nom, +2, +pl] ] - [ [V], [Nom, +3, -pl] ] - [ [V], [Nom, +3, +pl] ] Save your analysis definition to a file ending with ``.yaml`` (e.g. ``example.yaml``). Open a shell (command line window) and navigate to the directory of your definition file. Calculate the results of the analyis with the ``dmengine`` command creating a PDF report: .. code:: bash $ dmengine example.yaml --pdf This will create three files: - ``example-results.yaml`` |--| plain-text file with the results in YAML format - ``example-results.tex`` |--| LaTeX source for the result report - ``example-results.pdf`` |--| PDF output of the report compiled with ``pdflatex`` Results ------- Go to the **outputs section** of the report. It provides a **paradigm table** of the calculated results: .. image:: https://raw.github.com/xflr6/dmengine/master/docs/example-outputs.png The **log section** of the report contains detailed information about each individual input and the **derivation of the output**. .. image:: https://raw.github.com/xflr6/dmengine/master/docs/example-log.png Invocation options ------------------ Check the **usage** of the ``dmengine`` command: .. code:: bash $ dmengine --help usage: dmengine [-h] [--version] [--report] [--pdf] [--view] filename [directory] Calculates a given Distributed Morphology (DM) analysis positional arguments: filename dm analysis .yaml definition file directory analysis results output directory optional arguments: -h, --help show this help message and exit --version show program's version number and exit --report create a LaTeX report from the results --pdf render the report to PDF (implies --report) --view open the report in viewer app (implies --pdf) Rules ----- Analyses can use the following types of **rules** that manipulate the input *before* insertion: - ``impoverishment`` |--| feature deletion - ``obliteration`` |--| head removal - ``fission`` |--| head feature extraction - ``fusion`` |--| head merging - ``copy`` |--| head duplication - ``add`` |--| features addition - ``metathesis`` |--| head position swapping The following types of **readjustment rules** are supported (manipulating the output *after* insertion): - ``delete`` |--| exponent removal - ``copy`` |--| exponent duplication - ``metathesis`` |--| exponent position swapping - ``transform`` |--| regular expression search & replace Contexts -------- The insertion of vocabulary items and the application of pre-insertion rules can be restricted to the following context types: - ``this_head`` |--| the processed head must have the features - ``left_head`` |--| the left-adjacent head must have the features - ``right_head`` |--| the right-adjacent head must have the features - ``any_head`` |--| any input head must have the features - ``anywhere`` |--| features must be matched somewhere in the input TODO ---- - check expected spell-out for each input - delete_matching: yes/no - delete_other: all, given, none - set_delete: global, slot, vi See also -------- Raphael Finkel provides `web-based engines`_ for calculating Paradigm Function Morphology and Network Morphology analyses. License ------- ``dmengine`` is distributed under the `MIT license`_. .. _DM: https://www.ling.upenn.edu/~rnoyer/dm/ .. _YAML: https://en.wikipedia.org/wiki/YAML .. _pip: https://pip.readthedocs.io .. _PyYAML: https://pypi.org/project/PyYAML/ .. _oset: https://pypi.org/project/oset/ .. _TeX Live: https://www.tug.org/texlive/ .. _MikTeX: https://miktex.org .. _web-based engines: https://www.cs.uky.edu/~raphael/linguistics/claw.html .. _MIT license: https://opensource.org/licenses/MIT .. |--| unicode:: U+2013 .. |PyPI version| image:: https://img.shields.io/pypi/v/dmengine.svg :target: https://pypi.org/project/dmengine/ :alt: Latest PyPI Version .. |License| image:: https://img.shields.io/pypi/l/dmengine.svg :target: https://github.com/xflr6/dmengine/blob/master/LICENSE.txt :alt: License .. |Supported Python| image:: https://img.shields.io/pypi/pyversions/dmengine.svg :target: https://pypi.org/project/dmengine/ :alt: Supported Python Versions .. |Wheel| image:: https://img.shields.io/pypi/wheel/graphviz.svg :target: https://pypi.org/project/dmengine/#files :alt: Wheel format .. |Build| image:: https://github.com/xflr6/csv23/actions/workflows/build.yaml/badge.svg?branch=master :target: https://github.com/xflr6/csv23/actions/workflows/build.yaml?query=branch%3Amaster :alt: Build .. |Codecov| image:: https://codecov.io/gh/xflr6/dmengine/branch/master/graph/badge.svg :target: https://codecov.io/gh/xflr6/dmengine :alt: Codecov


نیازمندی

مقدار نام
- PyYAML
- flake8
- pep8-naming
- wheel
- twine
>=7 pytest
- pytest-cov


زبان مورد نیاز

مقدار نام
>=3.7 Python


نحوه نصب


نصب پکیج whl dmengine-0.3.1:

    pip install dmengine-0.3.1.whl


نصب پکیج tar.gz dmengine-0.3.1:

    pip install dmengine-0.3.1.tar.gz