Metadata-Version: 2.1
Name: kefir
Version: 0.1.2
Summary: Kefir is a natural language processing kit for Turkic languages
Home-page: https://github.com/yogurt-cultures/kefir
Author: Yogurt Cultures
Author-email: cediddi@gmail.com
License: MIT
Description: 
        kefir
        
        # Kefir
        
        ![Logo](https://avatars1.githubusercontent.com/u/42190640?s=200&v=4)
        
        Yogurt is a free software community established at Mustafa Akgül Free Software Camp of 2018.
        
        Kefir is a natural language processing kit for Turkic languages, and maybe Finnish and Hungarian in phonology.
        
        # Usage
        
        There are two competing notions of the predicate in theories of grammar.
        The competition between these two concepts has generated confusion concerning
        the use of the term predicate in theories of grammar.
        
        Kefir is designed to construct sentences by using
        [predicate-logic](https://www.wikiwand.com/en/Predicate_(grammar)).
        
        ```python
        >>> ayni = subject('aynı')
        >>> havuc = subject('havuç')
        >>> gel = predicate('gel', 'third', 'perfective')
        >>> yap = predicate('yap', 'third', 'perfective')
        >>> dal = predicate('dal', 'third', 'progressive')
        >>> dal = predicate(dal, 'third', 'perfective')
        
        >>> birisi = subject('yakup')
        >>> [sentence(birisi, eylem) for eylem in (yap, dal,)]
        ['yakup yaptı', 'yakup dalmaktaydı']
        
        >>> [sentence(havuc, eylem) for eylem in (gel, yap, dal)]
        ['havuç geldi', 'havuç yaptı', 'havuç dalmaktaydı']
        
        >>> sebze = predicate(locative('marul'), 'first', 'perfective', True)
        >>> dal = predicate(locative('dal'), 'first', 'perfective', True)
        >>> [sentence(ayni, eylem) for eylem in (sebze, dal)]
        ['aynı maruldaydık', 'aynı daldaydık']
        
        ```
        
        ### Cases
        
        - nominative
        - genitive
        - dative
        - accusative
        - ablative
        - locative
        
        ### Copulas
        
         - negative
         - zero
         - tobe
         - personal
         - perfective
         - imperfective
         - progressive
         - necessitative
         - future
         - impotential
         - conditional
        
        
        
        kefir.case
        
        # Grammatical Cases
        
        Implemented 6 grammatical cases:
        
        - Nominative
        - Genitive
        - Dative
        - Accusative
        - Ablative
        - Locative
        
        Turkish has 9 more:
        
        - Essive
        - Instrumental
        - Inclusive
        - Abessive
        - Likeness
        - Coverage
        - Qualitative
        - Conditional
        - Possesive
        
        📖 Read more on: [Turkish Cases](https://en.wikibooks.org/wiki/Turkish/Cases).
        
        TODO: Enum'lardaki rakamlar yerine auto() kullanılmalı.
        
        ## Nominative Case ('Yalın' in Turkish)
        
        The simplest grammatical case, there's no suffix to affix in that case.
        
        Nominative comes from Latin cāsus nominātīvus means case for naming.
        
        ## Ablative Case ('Ayrılma' in Turkish)
        
        A grammatical case for nouns, pronouns and adjectives in
        the grammar of various languages; it is sometimes used to
        express motion away from something, among other uses.
        
        ✎︎ Examples:
        ```
        adalar[dan] geldim
        merkez[den] geçtim
        teyit[ten] geçtim
        açlık[tan] öldüm
        ```
        
        ## Accusative ('İlgi' in Turkish)
        
        The accusative case (abbreviated acc) of a noun is the
        grammatical case used to mark the direct object of a
        transitive verb. The same case is used in many
        languages for the objects of (some or all) prepositions.
        
        ✎︎ Examples:
        ```
        aday[ı] yedim
        evim[i] yaptım
        üzüm[ü] pişirdim
        ```
        
        ## Genitive Case ('Genitifler' in Turkish)
        
        In grammar, the genitive is the grammatical case
        that marks a word, usually a noun, as modifying
        another word, also usually a noun.
        
        ✎︎ Examples:
        ```
        hanımelinin çiçeği (flower of a plant called hanımeli)
        kadının ayakkabısı (shoes of the woman)
        باب بيت bābu baytin (the door of a house)
        mari[i] nie ma w domu (maria is not at home)
        ```
        
        ## Dative Case ('Yönelme' in Turkish)
        
        In some languages, the dative is used to mark the
        indirect object of a sentence.
        
        ✎︎ Examples:
        ```
        marya yakup'a bir drink verdi (maria gave jacob a drink)
        maria jacobī potum dedit (maria gave jacob a drink)
        ```
        
        ## Locative Case ('Bulunma' in Turkish)
        
        Locative is a grammatical case which indicates a location.
        It corresponds vaguely to the English prepositions "in",
        "on", "at", and "by".
        
        ✎︎ Examples:
        ```
        bahçe[de] hanımeli var.
        yorum[da] iyi beatler var.
        kalem[de] güzel uç var.
        ```
        
        
        
        kefir.phonology
        
        # Turkish Phonology
        
        In Hungarian, Finnish, and Turkic languages
        vowel sounds are organized in a concept called
        vowel harmony. Vowels may be classified as Back
        or Front vowels, based on the placement of the
        sound in the mouth.
        
        ```
         Front Vowels
        +----------------+
         Unrounded  ⟨e⟩ ⟨i⟩
         Rounded    ⟨ü⟩ ⟨ö⟩
        
         Back Vowels
        +----------------+
         Unrounded  ⟨a⟩ ⟨ı⟩
         Rounded    ⟨u⟩ ⟨o⟩
        ```
        
        TODO: Document consonant harmony.
        
        #### \#swap_front_and_back
        
        Swaps front sounds to back, and vice versa.
        
        ```python
        >>> swap_front_and_back('acak')
        'ecek'
        
        >>> swap_front_and_back('ocok')
        'öcök'
        
        >>> swap_front_and_back('öcök')
        'ocok'
        
        >>> swap_front_and_back('acak')
        'ecek'
        
        ```
        
        ## Voicing or Sonorization ('Yumuşama' in Turkish)
        
        To make pronouncation easier, nouns ending
        with these sounds:
        
        ```
        ⟨p⟩ ⟨ç⟩ ⟨t⟩ ⟨k⟩
        ```
        
        May be softened by replacing them in order:
        
        ```
        ⟨b⟩ ⟨c⟩ ⟨d⟩ ⟨ğ⟩
        ```
        
        ✎︎ Examples:
        ```
        ço⟨p⟩un → ço⟨b⟩un
        ağa⟨ç⟩ın → ağa⟨c⟩n
        kağı⟨t⟩ın → kağı⟨d⟩ın
        ren⟨k⟩in → ren⟨g⟩in
        ```
        
        ✎︎ Examples in other languages:
        ```
        li⟨f⟩e → li⟨v⟩e
        stri⟨f⟩e → stri⟨v⟩e
        proo⟨f⟩ → pro⟨v⟩e
        ```
        
        ## Devoicing or Desonorization ('Sertleşme' in Turkish)
        
        To make pronouncation easier, nouns ending with
        these sounds:
        ```
        ⟨p⟩ ⟨ç⟩ ⟨t⟩ ⟨k⟩
        ```
        
        May be hardened by replacing them in order:
        
        ```
        ⟨b⟩ ⟨c⟩ ⟨d⟩ ⟨ğ⟩
        ```
        
        ✎︎ Examples:
        ```
        ço⟨p⟩un → ço⟨b⟩un
        ağa⟨ç⟩ın → ağa⟨c⟩n
        kağı⟨t⟩ın → kağı⟨d⟩ın
        ren⟨k⟩in → ren⟨g⟩in
        ```
        
        ✎︎ Examples in Other Languages:
        ```
        dogs → dogs ([ɡz])
        missed → missed ([st])
        whizzed → whizzed ([zd])
        prośba → prɔʑba
        просьба → prozʲbə
        ```
        
        
        
        kefir.predication
        
        # Turkish Predication and Copula
        
        Turkish language copulas, called 'ek-eylem' (literally 'suffix-verb'),
        are one of the most distinct features of Turkish grammar.
        
        TODO: Remove unused imports.
        
        #### Zero Copula
        
        Zero copula is the rule for third person, as in Hungarian
        and Russian. That means two nouns, or a noun and an
        adjective can be juxtaposed to make a sentence without
        using any copula. Third person plural might be indicated
        with the use of plural suffix "-lar/-ler".
        
        ✎︎ Examples:
        ```
        yogurt kültür (yogurt [is-a] culture)
        abbas yolcu (abbas [is-a] traveller)
        evlerinin önü yonca (the front of their home [is-a] plant called yonca)
        ```
        
        ✎︎ Tests:
        ```python
        >>> zero('yolcu')
        'yolcu'
        
         ```
        
        #### Negative
        
        Negation is indicated by the negative copula 'değil'.
        'Değil' is never used as a suffix, but it takes suffixes according to context.
        
        ✎︎ Examples:
        ```
        yogurt kültür değildir (yogurt [is-not-a] culture)
        abbas yolcu değildir (abbas [is-not-a] traveller)
        evlerinin önü yonca değildir (the front of their home [is-not-a] yonca)
        ```
        
        ✎︎ Tests:
        ```python
        >>> negative('yolcu')
        'yolcu değil'
        
        ```
        
        ### To Be
        
        Turkish "to be" as regular/auxiliary verb ('olmak').
        
        ✎︎ Examples:
        ```
        yogurt kültürdür (yogurt [is] culture)
        abbas yolcudur (abbas [is] traveller)
        evlerinin önü yoncadır (the front of their home [is] plant called yonca)
        ```
        
        ✎︎ Tests:
        ```python
        >>> tobe('yolcu')
        'yolcudur'
        >>> tobe('üzüm')
        'üzümdür'
        >>> tobe('yonca')
        'yoncadır'
        
        ```
        
        
        ### Personification Copula
        
        ✎︎ Examples:
        ```
        ben buralıyım (i'm from here)
        sen oralısın (you're from over there)
        aynı gezegenliyiz (we're from same planet)
        ```
        
        ✎︎ Tests:
        ```python
        >>> personal('uçak', Person.FIRST, is_plural=False)
        'uçağım'
        
        >>> personal('oralı', Person.SECOND, is_plural=False)
        'oralısın'
        
        >>> personal('gezegenli', Person.FIRST, is_plural=True)
        'gezegenliyiz'
        
        ```
        
        ### Inferential Mood ('-miş' in Turkish)
        
        Inferential mood is used to convey information about events
        which were not directly observed or were inferred by the speaker.
        
        ✎︎ Examples:
        ```
        elmaymışım (i was an apple as i've heard)
        üzülmüşsün (you were sad as i've heard)
        doktormuş (he/she/it was a doctor as i've heard)
        üzümmüşsün (you were a grape as i've heard)
        ```
        
        ✎︎ Tests:
        ```python
        >>> inferential('öğretmen', Person.SECOND, is_plural=False)
        'öğretmenmişsin'
        
        >>> inferential('üzül', Person.SECOND, is_plural=False)
        'üzülmüşsün'
        
        >>> inferential('robot', Person.FIRST, is_plural=False)
        'robotmuşum'
        
        >>> inferential('robot', Person.THIRD, is_plural=False)
        'robotmuş'
        
        >>> inferential('ada', Person.THIRD, is_plural=False)
        'adaymış'
        
        ```
        
        ### Inferential Mood ('-isem' in Turkish)
        
        Inferential mood is a grammatical mood used to express a proposition whose
        validity is dependent on some condition, possibly counterfactual.
        
        ✎︎ Examples:
        ```
        elmaysam (if i am an apple)
        üzümsen (if you are a grape)
        bıçaklarsa (if they are a knife)
        ```
        
        ✎︎ Tests:
        ```python
        >>> conditional('elma', Person.FIRST, is_plural=False)
        'elmaysam'
        >>> conditional('üzüm', Person.SECOND, is_plural=False)
        'üzümsen'
        >>> conditional('bıçak', Person.THIRD, is_plural=True)
        'bıçaklarsa'
        
        ```
        
        ### Alethic Modality ('-idi' in Turkish)
        
        Linguistic modality that indicates modalities of truth,
        in particular the modalities of logical necessity,
        possibility or impossibility.
        
        ✎︎ Examples:
        ```
        elmaydım (i was an apple)
        üzümdün (you were a grape)
        doktordu (he/she/it was a doctor)
        ```
        
        ✎︎ Tests:
        ```python
        >>> perfective('açık', Person.FIRST, is_plural=False)
        'açıktım'
        
        >>> perfective('oralı', Person.SECOND, is_plural=False)
        'oralıydın'
        
        >>> perfective('dalda', Person.FIRST, is_plural=False)
        'daldaydım'
        
        >>> perfective('dalda', Person.THIRD, is_plural=False)
        'daldaydı'
        
        >>> perfective('dalda', Person.FIRST, is_plural=True)
        'daldaydık'
        
        >>> perfective('dalda', Person.SECOND, is_plural=True)
        'daldaydınız'
        
        >>> perfective('dalda', Person.THIRD, is_plural=True)
        'daldaydılar'
        
        >>> perfective('gezegende', Person.THIRD, is_plural=True)
        'gezegendeydiler'
        
        ```
        
        ### The Imperfective ('-iyor' in Turkish)
        
        Grammatical aspect used to describe a situation viewed with interior composition.
        It describes ongoing, habitual, repeated, or similar semantic roles,
        whether that situation occurs in the past, present, or future.
        
        ✎︎ Examples:
        ```
        gidiyorum (i'm going)
        kayıyor (he's skating)
        üzümlüyor (he's graping)
        ```
        
        ✎︎ Tests:
        ```python
        >>> imperfective('açı', Person.FIRST, is_plural=False)
        'açıyorum'
        
        >>> imperfective('açık', Person.FIRST, is_plural=False)
        'açıkıyorum'
        
        >>> imperfective('oralı', Person.SECOND, is_plural=False)
        'oralıyorsun'
        
        >>> imperfective('dal', Person.THIRD, is_plural=False)
        'dalıyor'
        
        >>> imperfective('dal', Person.FIRST, is_plural=True)
        'dalıyoruz'
        
        >>> imperfective('dal', Person.FIRST, is_plural=True)
        'dalıyoruz'
        
        >>> imperfective('dal', Person.SECOND, is_plural=True)
        'dalıyorsunuz'
        
        >>> imperfective('dal', Person.THIRD, is_plural=True)
        'dalıyorlar'
        
        ```
        
        ### The Future Tense ('-iyor' in Turkish)
        
        The future tense is a verb form that generally marks the event described by the
        verb as not having happened yet, but expected to happen in the future.
        
        ✎︎ Examples:
        ```
        gidecek (he'll go)
        ölecek (he'll die)
        can alacak (he'll kill someone)
        ```
        
        ✎︎ Tests:
        ```python
        >>> future('gel', Person.FIRST, is_plural=False)
        'geleceğim'
        
        >>> future('açık', Person.FIRST, is_plural=False)
        'açıkacağım'
        
        >>> future('gel', Person.FIRST, is_plural=True)
        'geleceğiz'
        
        ```
        
        ### Progressive Tense
        
        ✎︎ Examples:
        gülmekteyim (i am in the process of laughing)
        ölmekteler (they are in the process of dying 👾)
        
        ✎︎ Tests:
        ```python
        >>> progressive('gel', Person.FIRST, is_plural=False)
        'gelmekteyim'
        
        >>> progressive('açık', Person.FIRST, is_plural=False)
        'açıkmaktayım'
        
        >>> progressive('gel', Person.FIRST, is_plural=True)
        'gelmekteyiz'
        
        ```
        
        ### Necessitative Copula
        
        ✎︎ Examples:
        ```
        gitmeliyim (i must go)
        kaçmalıyım (i must run away)
        ```
        
        ✎︎ Tests:
        ```python
        >>> necessitative('git', Person.FIRST, is_plural=False)
        'gitmeliyim'
        
        >>> necessitative('açık', Person.FIRST, is_plural=False)
        'açıkmalıyım'
        
        >>> necessitative('uza', Person.FIRST, is_plural=True)
        'uzamalıyız'
        
        ```
        
        ### Impotential Copula
        
        ✎︎ Examples:
        ```
        gidemem (i cannot come)
        kaçamayız (we cannot run away)
        ```
        
        ✎︎ Tests:
        ```python
        >>> impotential('git', Person.FIRST, is_plural=False)
        'gidemem'
        
        >>> impotential('git', Person.SECOND, is_plural=False)
        'gidemezsin'
        
        >>> impotential('git', Person.THIRD, is_plural=False)
        'gidemez'
        
        >>> impotential('git', Person.FIRST, is_plural=True)
        'gidemeyiz'
        
        >>> impotential('git', Person.FIRST, is_plural=True)
        'gidemeyiz'
        
        >>> impotential('git', Person.SECOND, is_plural=True)
        'gidemezsiniz'
        
        >>> impotential('git', Person.THIRD, is_plural=True)
        'gidemezler'
        
        >>> impotential('al', Person.THIRD, is_plural=True)
        'alamazlar'
        
        ```
        
        
        
        
        kefir.meta
        
        # Contribution Guide
        
        - Don't load a fixture, code is our data.
        - Don't leave a comment! Docstrings are only for the context and test.
        - Be nice 🦄
        
        # Credits
        
        - Berk Buzcu (8-bit artwork)
        - Serdar Açıkyol (Illustration)
        - Fatih Erikli (Phonological Processes, Predicate Logic)
        - Armagan Amcalar ([Javascript Port](https://github.com/yogurt-cultures/kefir-js))
        - Umut Karcı (Packaging and Versioning)
        - Kerem Bozdaş (Editing)
        
        # License
        
        This project is licensed under the terms of the [MIT license](https://github.com/yogurt-cultures/kefir/blob/master/LICENSE).
        
        
        
Platform: UNKNOWN
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: Implementation :: CPython
Classifier: Topic :: Text Processing :: Linguistic
Classifier: Natural Language :: Turkish
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Information Technology
Description-Content-Type: text/markdown
