Metadata-Version: 2.1
Name: coolisf
Version: 0.2.3
Summary: A Python 3 implementation of the Integrated Semantic Framework that provides computational deep semantic analysis by combining structural semantics from construction grammars and lexical semantics from ontologies in a single representation.
Home-page: https://github.com/letuananh/intsem.fx/
Author: Le Tuan Anh
Author-email: tuananh.ke@gmail.com
License: MIT License
Project-URL: Bug Tracker, https://github.com/letuananh/intsem.fx/issues
Project-URL: Source Code, https://github.com/letuananh/intsem.fx
Description: # Integrated Semantic Framework
        
        A Python 3 implementation of the [Integrated Semantic Framework](https://osf.io/9udjk/) that provides computational deep semantic analysis by combining structural semantics from construction grammars and lexical semantics from ontologies in a single representation.
        
        `coolisf` is only a back-end semantic parsing module that runs on command-line interaface or in Python programs.
        If you want a friendly graphical user interface, please use [visualkopasu](https://github.com/letuananh/visualkopasu/).
        
        ## A quick glance
        
        To parse a sentence, use coolisf `text` command
        
        ```bash
        python -m coolisf text "I drink green tea." -f dmrs
        
        :`I drink green tea.` (len=5)
        ------------------------------------------------------------
        dmrs {
          10000 [pron<0:1> x ind=+ num=sg pers=1 pt=std];
          10001 [pronoun_q<0:1> x ind=+ num=sg pers=1 pt=std];
          10002 [_drink_v_1_rel<2:7> e mood=indicative perf=- prog=- sf=prop tense=pres];
          10003 [udef_q<8:18> x num=sg pers=3];
          10004 [_green+tea_n_1_rel<8:18> x num=sg pers=3];
          0:/H -> 10002;
          10001:RSTR/H -> 10000;
          10002:ARG1/NEQ -> 10000;
          10002:ARG2/NEQ -> 10004;
          10003:RSTR/H -> 10004;
        }
        # 10002 -> 01170052-v[drink/lelesk]
        # 10004 -> 07935152-n[green tea/lelesk]
        ...
        ```
        
        For batch processing, create a text file with each sentence on a separate line.
        For example here is the content of the file `demo.txt`
        
        ```
        I drink green tea.
        Sherlock Holmes has three guard dogs.
        A soul is not a living thing.
        Do you have any green tea chest?
        ```
        
        After that, run the following `parse` command to analyse the text and write the output to `demo_out.xml`
        
        ```bash
        python -m coolisf parse demo.txt -o demo_out.xml
        ```
        
        Here is an example of using coolisf in a Python code
        
        ```python
        from coolisf import GrammarHub
        ghub = GrammarHub()
        # parse an English text
        sent = ghub.ERG_ISF.parse("I love drip coffee.")
        # print semantic structures for all potential readings
        for reading in sent:
            print(reading.dmrs())
        ```
        
        Output
        
        ```bash
        dmrs {
          10000 [pron<0:1> x ind=+ num=sg pers=1 pt=std];
          10001 [pronoun_q<0:1> x ind=+ num=sg pers=1 pt=std];
          10002 [_love_v_1_rel<2:6> e mood=indicative perf=- prog=- sf=prop tense=pres];
          10003 [udef_q<7:19> x num=sg pers=3];
          10004 [_drip+coffee_n_1_rel<7:19> x num=sg pers=3];
          0:/H -> 10002;
          10001:RSTR/H -> 10000;
          10002:ARG1/NEQ -> 10000;
          10002:ARG2/NEQ -> 10004;
          10003:RSTR/H -> 10004;
        }
        ...
        ```
        
        Fore more information, please refer to the documentation for coolisf at https://coolisf.readthedocs.io
        
        ## Install
        
        The `coolisf` package itself is available on [PyPI](https://pypi.org/project/coolisf/) and it can be installed using pip
        
        ```bash
        pip install coolisf
        ```
        
        However, it can be tricky to acquire all the required components and data. Please find version specific prerequisites and installation instructions on coolisf's [official Github release page](https://github.com/letuananh/intsem.fx/releases).
        
        If you encounter any problems or difficulties, please submit a ticket for support at: https://github.com/letuananh/intsem.fx/issues
        
Keywords: linguistics,analysis,semantics,meaning,nlp,HPSG,ERG,MRS,DMRS,grammar,Sign-based Construction Grammar,wordnet,wsd,word-sense disambiguation
Platform: any
Classifier: Programming Language :: Python
Classifier: Development Status :: 5 - Production/Stable
Classifier: Natural Language :: English
Classifier: Natural Language :: Japanese
Classifier: Natural Language :: Indonesian
Classifier: Natural Language :: Chinese (Simplified)
Classifier: Natural Language :: Chinese (Traditional)
Classifier: Environment :: Console
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Requires-Python: >=3.6
Description-Content-Type: text/markdown
