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Basic support for Telugu language (#2751)
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Sainath Adapa
Matthew Honnibal
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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 | Sainath Adapa |
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| Company name (if applicable) | |
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| Title or role (if applicable) | |
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| Date | 2018-09-06 |
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| GitHub username | sainathadapa |
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| Website (optional) | |
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@ -0,0 +1,23 @@
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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 TeluguDefaults(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: 'te'
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stop_words = STOP_WORDS
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class Telugu(Language):
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lang = 'te'
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Defaults = TeluguDefaults
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__all__ = ['Telugu']
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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.te import Telugu
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>>> nlp = Telugu()
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>>> from spacy.lang.te.examples import sentences
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>>> docs = nlp.pipe(sentences)
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"""
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sentences = [
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"ఆపిల్ 1 బిలియన్ డాలర్స్ కి యూ.కె. స్టార్ట్అప్ ని కొనాలని అనుకుంటుంది.",
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"ఆటోనోమోస్ కార్లు భీమా బాధ్యతను తయారీదారులపైకి మళ్లిస్తాయి.",
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"సాన్ ఫ్రాన్సిస్కో కాలిబాట డెలివరీ రోబోట్లను నిషేధించడానికి ఆలోచిస్తుంది.",
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"లండన్ యునైటెడ్ కింగ్డమ్ లో పెద్ద సిటీ.",
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"నువ్వు ఎక్కడ ఉన్నావ్?",
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"ఫ్రాన్స్ అధ్యక్షుడు ఎవరు?",
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"యునైటెడ్ స్టేట్స్ యొక్క రాజధాని ఏంటి?",
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"బరాక్ ఒబామా ఎప్పుడు జన్మించారు?"
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]
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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 = ['సున్నా', 'శూన్యం', 'ఒకటి', 'రెండు', 'మూడు', 'నాలుగు', 'ఐదు', 'ఆరు',
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'ఏడు', 'ఎనిమిది', 'తొమ్మిది', 'పది', 'పదకొండు', 'పన్నెండు', 'పదమూడు',
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'పద్నాలుగు', 'పదిహేను', 'పదహారు', 'పదిహేడు', 'పద్దెనిమిది', 'పందొమ్మిది', 'ఇరవై',
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'ముప్పై', 'నలభై', 'యాభై', 'అరవై', 'డెబ్బై', 'ఎనభై', 'తొంబై', 'వంద', 'నూరు',
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'వెయ్యి', 'లక్ష', 'కోటి']
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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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# coding: utf8
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from __future__ import unicode_literals
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# Source: https://github.com/Xangis/extra-stopwords (MIT License)
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STOP_WORDS = set("""
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అందరూ
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అందుబాటులో
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అడగండి
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అడగడం
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అడ్డంగా
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అనుగుణంగా
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అనుమతించు
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అనుమతిస్తుంది
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అయితే
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ఇప్పటికే
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ఉన్నారు
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ఎక్కడైనా
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ఎప్పుడు
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ఎవరైనా
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ఎవరో ఒకరు
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ఏ
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ఏదైనా
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ఏమైనప్పటికి
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ఏమైనప్పటికి
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ఒక
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ఒక ప్రక్కన
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కనిపిస్తాయి
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కాదు
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కాదు
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కూడా
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గా
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గురించి
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చుట్టూ
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చేయగలిగింది
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తగిన
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తర్వాత
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తర్వాత
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దాదాపు
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దూరంగా
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నిజంగా
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పై
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ప్రకారం
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మధ్య
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మధ్య
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మరియు
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మరొక
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మళ్ళీ
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మాత్రమే
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మెచ్చుకో
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వద్ద
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వద్ద
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వెంట
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వేరుగా
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వ్యతిరేకంగా
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సంబంధం
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""".split())
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