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Adding basic support for Sinhala language. (#2788)
* adding Sinhala language package, stop words, examples and lex_attrs. * Adding contributor agreement * Updating contributor agreement
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.github/contributors/keshan.md
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# spaCy contributor agreement
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This spaCy Contributor Agreement (**"SCA"**) is based on the
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[Oracle Contributor Agreement](http://www.oracle.com/technetwork/oca-405177.pdf).
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The SCA applies to any contribution that you make to any product or project
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managed by us (the **"project"**), and sets out the intellectual property rights
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you grant to us in the contributed materials. The term **"us"** shall mean
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[ExplosionAI UG (haftungsbeschränkt)](https://explosion.ai/legal). The term
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**"you"** shall mean the person or entity identified below.
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If you agree to be bound by these terms, fill in the information requested
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below and include the filled-in version with your first pull request, under the
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folder [`.github/contributors/`](/.github/contributors/). The name of the file
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should be your GitHub username, with the extension `.md`. For example, the user
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example_user would create the file `.github/contributors/example_user.md`.
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Read this agreement carefully before signing. These terms and conditions
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constitute a binding legal agreement.
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## Contributor Agreement
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1. The term "contribution" or "contributed materials" means any source code,
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object code, patch, tool, sample, graphic, specification, manual,
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documentation, or any other material posted or submitted by you to the project.
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2. With respect to any worldwide copyrights, or copyright applications and
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registrations, in your contribution:
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* you hereby assign to us joint ownership, and to the extent that such
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assignment is or becomes invalid, ineffective or unenforceable, you hereby
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grant to us a perpetual, irrevocable, non-exclusive, worldwide, no-charge,
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royalty-free, unrestricted license to exercise all rights under those
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copyrights. This includes, at our option, the right to sublicense these same
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rights to third parties through multiple levels of sublicensees or other
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licensing arrangements;
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* you agree that each of us can do all things in relation to your
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contribution as if each of us were the sole owners, and if one of us makes
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a derivative work of your contribution, the one who makes the derivative
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work (or has it made will be the sole owner of that derivative work;
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* you agree that you will not assert any moral rights in your contribution
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against us, our licensees or transferees;
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* you agree that we may register a copyright in your contribution and
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exercise all ownership rights associated with it; and
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* you agree that neither of us has any duty to consult with, obtain the
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consent of, pay or render an accounting to the other for any use or
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distribution of your contribution.
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3. With respect to any patents you own, or that you can license without payment
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to any third party, you hereby grant to us a perpetual, irrevocable,
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non-exclusive, worldwide, no-charge, royalty-free license to:
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* make, have made, use, sell, offer to sell, import, and otherwise transfer
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your contribution in whole or in part, alone or in combination with or
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included in any product, work or materials arising out of the project to
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which your contribution was submitted, and
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* at our option, to sublicense these same rights to third parties through
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multiple levels of sublicensees or other licensing arrangements.
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4. Except as set out above, you keep all right, title, and interest in your
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contribution. The rights that you grant to us under these terms are effective
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on the date you first submitted a contribution to us, even if your submission
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took place before the date you sign these terms.
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5. You covenant, represent, warrant and agree that:
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* Each contribution that you submit is and shall be an original work of
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authorship and you can legally grant the rights set out in this SCA;
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* to the best of your knowledge, each contribution will not violate any
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third party's copyrights, trademarks, patents, or other intellectual
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property rights; and
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* each contribution shall be in compliance with U.S. export control laws and
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other applicable export and import laws. You agree to notify us if you
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become aware of any circumstance which would make any of the foregoing
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representations inaccurate in any respect. We may publicly disclose your
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participation in the project, including the fact that you have signed the SCA.
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6. This SCA is governed by the laws of the State of California and applicable
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U.S. Federal law. Any choice of law rules will not apply.
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7. Please place an “x” on one of the applicable statement below. Please do NOT
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mark both statements:
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* [x] I am signing on behalf of myself as an individual and no other person
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or entity, including my employer, has or will have rights with respect to my
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contributions.
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* [ ] I am signing on behalf of my employer or a legal entity and I have the
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actual authority to contractually bind that entity.
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## Contributor Details
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| Field | Entry |
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|------------------------------- | -------------------- |
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| Name | Keshan Sodimana |
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| Company name (if applicable) | |
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| Title or role (if applicable) | |
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| Date | Sep 21, 2018 |
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| GitHub username | keshan |
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| Website (optional) | |
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@ -16,6 +16,7 @@ _latin = r'[[\p{Ll}||\p{Lu}]&&\p{Latin}]'
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_persian = r'[\p{L}&&\p{Arabic}]'
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_persian = r'[\p{L}&&\p{Arabic}]'
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_russian_lower = r'[ёа-я]'
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_russian_lower = r'[ёа-я]'
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_russian_upper = r'[ЁА-Я]'
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_russian_upper = r'[ЁА-Я]'
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_sinhala = r'[\p{L}&&\p{Sinhala}]'
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_tatar_lower = r'[әөүҗңһ]'
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_tatar_lower = r'[әөүҗңһ]'
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_tatar_upper = r'[ӘӨҮҖҢҺ]'
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_tatar_upper = r'[ӘӨҮҖҢҺ]'
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_greek_lower = r'[α-ωάέίόώήύ]'
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_greek_lower = r'[α-ωάέίόώήύ]'
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@ -23,7 +24,7 @@ _greek_upper = r'[Α-ΩΆΈΊΌΏΉΎ]'
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_upper = [_latin_upper, _russian_upper, _tatar_upper, _greek_upper]
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_upper = [_latin_upper, _russian_upper, _tatar_upper, _greek_upper]
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_lower = [_latin_lower, _russian_lower, _tatar_lower, _greek_lower]
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_lower = [_latin_lower, _russian_lower, _tatar_lower, _greek_lower]
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_uncased = [_bengali, _hebrew, _persian]
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_uncased = [_bengali, _hebrew, _persian, _sinhala]
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ALPHA = merge_char_classes(_upper + _lower + _uncased)
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ALPHA = merge_char_classes(_upper + _lower + _uncased)
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ALPHA_LOWER = merge_char_classes(_lower + _uncased)
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ALPHA_LOWER = merge_char_classes(_lower + _uncased)
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23
spacy/lang/si/__init__.py
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spacy/lang/si/__init__.py
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# coding: utf8
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from __future__ import unicode_literals
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from .stop_words import STOP_WORDS
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from .lex_attrs import LEX_ATTRS
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from ...language import Language
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from ...attrs import LANG
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class SinhalaDefaults(Language.Defaults):
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lex_attr_getters = dict(Language.Defaults.lex_attr_getters)
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lex_attr_getters.update(LEX_ATTRS)
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lex_attr_getters[LANG] = lambda text: 'si'
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stop_words = STOP_WORDS
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class Sinhala(Language):
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lang = 'si'
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Defaults = SinhalaDefaults
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__all__ = ['Sinhala']
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spacy/lang/si/examples.py
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# coding: utf8
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from __future__ import unicode_literals
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"""
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Example sentences to test spaCy and its language models.
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>>> from spacy.lang.si.examples import sentences
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>>> docs = nlp.pipe(sentences)
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"""
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sentences = [
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"ඔබ කවුද?",
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"ගූගල් සමාගම ඩොලර් මිලියන 500 කට එම ආයතනය මිලදී ගන්නා ලදී.",
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"කොළඹ ශ්රී ලංකාවේ ප්රධානතම නගරය යි.",
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"ප්රංශයේ ජනාධිපති කවරෙක් ද?",
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"මට බිස්කට් 1 ක් දෙන්න",
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"ඔවුන් ලකුණු 59 කින් තරඟය පරාජයට පත් විය.",
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"1 ත් 10 ත් අතර සංඛ්යාවක් කියන්න",
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"ඔහු සහ ඇය නුවර හෝ කොළඹ පදිංචි කරුවන් නොවේ",
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]
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spacy/lang/si/lex_attrs.py
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# coding: utf8
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from __future__ import unicode_literals
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from ...attrs import LIKE_NUM
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_num_words = ['බින්දුව', 'බිංදුව', 'එක', 'දෙක', 'තුන', 'හතර', 'පහ', 'හය', 'හත',
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'අට', 'නවය', 'නමය', 'දහය', 'එකොළහ', 'දොළහ', 'දහතුන', 'දහහතර',
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'දාහතර', 'පහළව', 'පහළොව', 'දහසය', 'දහහත', 'දාහත', 'දහඅට',
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'දහනවය', 'විස්ස', 'තිහ', 'හතළිහ', 'පනහ', 'හැට', 'හැත්තෑව', 'අසූව',
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'අනූව', 'සියය', 'දහස', 'දාහ', 'ලක්ෂය', 'මිලියනය', 'කෝටිය',
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'බිලියනය', 'ට්රිලියනය']
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def like_num(text):
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text = text.replace(',', '').replace('.', '')
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if text.isdigit():
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return True
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if text.count('/') == 1:
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num, denom = text.split('/')
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if num.isdigit() and denom.isdigit():
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return True
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if text.lower() in _num_words:
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return True
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return False
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LEX_ATTRS = {
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LIKE_NUM: like_num
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}
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spacy/lang/si/stop_words.py
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# coding: utf8
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from __future__ import unicode_literals
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# Stop words
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STOP_WORDS = set("""
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අතර
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එච්චර
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එපමණ
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එලෙස
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එවිට
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ඒ
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කට
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කදී
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කින්
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ක්
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ට
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තුර
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ත්
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ද
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නමුත්
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නොහොත්
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පමණ
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පමණි
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ම
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මෙච්චර
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මෙපමණ
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මෙලෙස
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මෙවිට
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මේ
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ය
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යි
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ලදී
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ලෙස
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වගේ
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වන
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විට
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විටෙක
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විතර
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විය
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වුව
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වුවත්
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වුවද
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වූ
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සමඟ
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සහ
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හා
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හෙවත්
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හෝ
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""".split())
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