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Add Nepali Language (#5622)
* added support for nepali lang * added examples and test files * added spacy contributor agreement
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106
.github/contributors/rameshhpathak.md
vendored
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.github/contributors/rameshhpathak.md
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# spaCy contributor agreement
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This spaCy Contributor Agreement (**"SCA"**) is based on the
|
||||
[Oracle Contributor Agreement](http://www.oracle.com/technetwork/oca-405177.pdf).
|
||||
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 GmbH](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
|
||||
|
||||
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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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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* you agree that each of us can do all things in relation to your
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* you agree that you will not assert any moral rights in your contribution
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* you agree that neither of us has any duty to consult with, obtain the
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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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* make, have made, use, sell, offer to sell, import, and otherwise transfer
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* at our option, to sublicense these same rights to third parties through
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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 | Ramesh Pathak |
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| Company name (if applicable) | Diyo AI |
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| Title or role (if applicable) | AI Engineer |
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| Date | June 21, 2020 |
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| GitHub username | rameshhpathak |
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| Website (optional) |rameshhpathak.github.io| |
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23
spacy/lang/ne/__init__.py
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spacy/lang/ne/__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 NepaliDefaults(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: "ne" # Nepali language ISO code
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stop_words = STOP_WORDS
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class Nepali(Language):
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lang = "ne"
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Defaults = NepaliDefaults
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__all__ = ["Nepali"]
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22
spacy/lang/ne/examples.py
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spacy/lang/ne/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.ne.examples import sentences
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>>> docs = nlp.pipe(sentences)
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"""
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sentences = [
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"एप्पलले अमेरिकी स्टार्टअप १ अर्ब डलरमा किन्ने सोच्दै छ",
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"स्वायत्त कारहरूले बीमा दायित्व निर्माताहरु तिर बदल्छन्",
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"स्यान फ्रांसिस्कोले फुटपाथ वितरण रोबोटहरु प्रतिबंध गर्ने विचार गर्दै छ",
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"लन्डन यूनाइटेड किंगडमको एक ठूलो शहर हो।",
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"तिमी कहाँ छौ?",
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"फ्रान्स को राष्ट्रपति को हो?",
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"संयुक्त राज्यको राजधानी के हो?",
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"बराक ओबामा कहिले कहिले जन्मेका हुन्?",
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]
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spacy/lang/ne/lex_attrs.py
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98
spacy/lang/ne/lex_attrs.py
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# coding: utf8
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from __future__ import unicode_literals
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from ..norm_exceptions import BASE_NORMS
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from ...attrs import NORM, LIKE_NUM
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# fmt: off
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_stem_suffixes = [
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["ा", "ि", "ी", "ु", "ू", "ृ", "े", "ै", "ो", "ौ"],
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["ँ", "ं", "्", "ः"],
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["लाई", "ले", "बाट", "को", "मा", "हरू"],
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["हरूलाई", "हरूले", "हरूबाट", "हरूको", "हरूमा"],
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["इलो", "िलो", "नु", "ाउनु", "ई", "इन", "इन्", "इनन्"],
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["एँ", "इँन्", "इस्", "इनस्", "यो", "एन", "यौं", "एनौं", "ए", "एनन्"],
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["छु", "छौँ", "छस्", "छौ", "छ", "छन्", "छेस्", "छे", "छ्यौ", "छिन्", "हुन्छ"],
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["दै", "दिन", "दिँन", "दैनस्", "दैन", "दैनौँ", "दैनौं", "दैनन्"],
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["हुन्न", "न्न", "न्न्स्", "न्नौं", "न्नौ", "न्न्न्", "िई"],
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["अ", "ओ", "ऊ", "अरी", "साथ", "वित्तिकै", "पूर्वक"],
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["याइ", "ाइ", "बार", "वार", "चाँहि"],
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["ने", "ेको", "ेकी", "ेका", "ेर", "दै", "तै", "िकन", "उ", "न", "नन्"]
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]
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# fmt: on
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# reference 1: https://en.wikipedia.org/wiki/Numbers_in_Nepali_language
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# reference 2: https://www.imnepal.com/nepali-numbers/
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_num_words = [
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"शुन्य",
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"एक",
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"दुई",
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"तीन",
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"चार",
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"पाँच",
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"छ",
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"सात",
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"आठ",
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"नौ",
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"दश",
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"एघार",
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"बाह्र",
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"तेह्र",
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"चौध",
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"पन्ध्र",
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"सोह्र",
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"सोह्र",
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"सत्र",
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"अठार",
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"उन्नाइस",
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"बीस",
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"तीस",
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"चालीस",
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"पचास",
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"साठी",
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"सत्तरी",
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"असी",
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"नब्बे",
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"सय",
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"हजार",
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"लाख",
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"करोड",
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"अर्ब",
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"खर्ब",
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]
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def norm(string):
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# normalise base exceptions, e.g. punctuation or currency symbols
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if string in BASE_NORMS:
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return BASE_NORMS[string]
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# set stem word as norm, if available, adapted from:
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# https://github.com/explosion/spaCy/blob/master/spacy/lang/hi/lex_attrs.py
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# https://www.researchgate.net/publication/237261579_Structure_of_Nepali_Grammar
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for suffix_group in reversed(_stem_suffixes):
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length = len(suffix_group[0])
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if len(string) <= length:
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break
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for suffix in suffix_group:
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if string.endswith(suffix):
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return string[:-length]
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return string
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def like_num(text):
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if text.startswith(("+", "-", "±", "~")):
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text = text[1:]
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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 = {NORM: norm, LIKE_NUM: like_num}
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498
spacy/lang/ne/stop_words.py
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498
spacy/lang/ne/stop_words.py
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# coding: utf8
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from __future__ import unicode_literals
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# Source: https://github.com/sanjaalcorps/NepaliStopWords/blob/master/NepaliStopWords.txt
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STOP_WORDS = set(
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"""
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अक्सर
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अगाडि
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अगाडी
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अघि
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अझै
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अठार
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||||
अथवा
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||||
अनि
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||||
अनुसार
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||||
अन्तर्गत
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अन्य
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||||
अन्यत्र
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||||
अन्यथा
|
||||
अब
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||||
अरु
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||||
अरुलाई
|
||||
अरू
|
||||
अर्को
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||||
अर्थात
|
||||
अर्थात्
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अलग
|
||||
अलि
|
||||
अवस्था
|
||||
अहिले
|
||||
आए
|
||||
आएका
|
||||
आएको
|
||||
आज
|
||||
आजको
|
||||
आठ
|
||||
आत्म
|
||||
आदि
|
||||
आदिलाई
|
||||
आफनो
|
||||
आफू
|
||||
आफूलाई
|
||||
आफै
|
||||
आफैँ
|
||||
आफ्नै
|
||||
आफ्नो
|
||||
आयो
|
||||
उ
|
||||
उक्त
|
||||
उदाहरण
|
||||
उनको
|
||||
उनलाई
|
||||
उनले
|
||||
उनि
|
||||
उनी
|
||||
उनीहरुको
|
||||
उन्नाइस
|
||||
उप
|
||||
उसको
|
||||
उसलाई
|
||||
उसले
|
||||
उहालाई
|
||||
ऊ
|
||||
एउटा
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||||
एउटै
|
||||
एक
|
||||
एकदम
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||||
एघार
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||||
ओठ
|
||||
औ
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||||
औं
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||||
कता
|
||||
कति
|
||||
कतै
|
||||
कम
|
||||
कमसेकम
|
||||
कसरि
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||||
कसरी
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||||
कसै
|
||||
कसैको
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||||
कसैलाई
|
||||
कसैले
|
||||
कसैसँग
|
||||
कस्तो
|
||||
कहाँबाट
|
||||
कहिलेकाहीं
|
||||
का
|
||||
काम
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||||
कारण
|
||||
कि
|
||||
किन
|
||||
किनभने
|
||||
कुन
|
||||
कुनै
|
||||
कुन्नी
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||||
कुरा
|
||||
कृपया
|
||||
के
|
||||
केहि
|
||||
केही
|
||||
को
|
||||
कोहि
|
||||
कोहिपनि
|
||||
कोही
|
||||
कोहीपनि
|
||||
क्रमशः
|
||||
गए
|
||||
गएको
|
||||
गएर
|
||||
गयौ
|
||||
गरि
|
||||
गरी
|
||||
गरे
|
||||
गरेका
|
||||
गरेको
|
||||
गरेर
|
||||
गरौं
|
||||
गर्छ
|
||||
गर्छन्
|
||||
गर्छु
|
||||
गर्दा
|
||||
गर्दै
|
||||
गर्न
|
||||
गर्नु
|
||||
गर्नुपर्छ
|
||||
गर्ने
|
||||
गैर
|
||||
घर
|
||||
चार
|
||||
चाले
|
||||
चाहनुहुन्छ
|
||||
चाहन्छु
|
||||
चाहिं
|
||||
चाहिए
|
||||
चाहिंले
|
||||
चाहीं
|
||||
चाहेको
|
||||
चाहेर
|
||||
चोटी
|
||||
चौथो
|
||||
चौध
|
||||
छ
|
||||
छन
|
||||
छन्
|
||||
छु
|
||||
छू
|
||||
छैन
|
||||
छैनन्
|
||||
छौ
|
||||
छौं
|
||||
जता
|
||||
जताततै
|
||||
जना
|
||||
जनाको
|
||||
जनालाई
|
||||
जनाले
|
||||
जब
|
||||
जबकि
|
||||
जबकी
|
||||
जसको
|
||||
जसबाट
|
||||
जसमा
|
||||
जसरी
|
||||
जसलाई
|
||||
जसले
|
||||
जस्ता
|
||||
जस्तै
|
||||
जस्तो
|
||||
जस्तोसुकै
|
||||
जहाँ
|
||||
जान
|
||||
जाने
|
||||
जाहिर
|
||||
जुन
|
||||
जुनै
|
||||
जे
|
||||
जो
|
||||
जोपनि
|
||||
जोपनी
|
||||
झैं
|
||||
ठाउँमा
|
||||
ठीक
|
||||
ठूलो
|
||||
त
|
||||
तता
|
||||
तत्काल
|
||||
तथा
|
||||
तथापि
|
||||
तथापी
|
||||
तदनुसार
|
||||
तपाइ
|
||||
तपाई
|
||||
तपाईको
|
||||
तब
|
||||
तर
|
||||
तर्फ
|
||||
तल
|
||||
तसरी
|
||||
तापनि
|
||||
तापनी
|
||||
तिन
|
||||
तिनि
|
||||
तिनिहरुलाई
|
||||
तिनी
|
||||
तिनीहरु
|
||||
तिनीहरुको
|
||||
तिनीहरू
|
||||
तिनीहरूको
|
||||
तिनै
|
||||
तिमी
|
||||
तिर
|
||||
तिरको
|
||||
ती
|
||||
तीन
|
||||
तुरन्त
|
||||
तुरुन्त
|
||||
तुरुन्तै
|
||||
तेश्रो
|
||||
तेस्कारण
|
||||
तेस्रो
|
||||
तेह्र
|
||||
तैपनि
|
||||
तैपनी
|
||||
त्यत्तिकै
|
||||
त्यत्तिकैमा
|
||||
त्यस
|
||||
त्यसकारण
|
||||
त्यसको
|
||||
त्यसले
|
||||
त्यसैले
|
||||
त्यसो
|
||||
त्यस्तै
|
||||
त्यस्तो
|
||||
त्यहाँ
|
||||
त्यहिँ
|
||||
त्यही
|
||||
त्यहीँ
|
||||
त्यहीं
|
||||
त्यो
|
||||
त्सपछि
|
||||
त्सैले
|
||||
थप
|
||||
थरि
|
||||
थरी
|
||||
थाहा
|
||||
थिए
|
||||
थिएँ
|
||||
थिएन
|
||||
थियो
|
||||
दर्ता
|
||||
दश
|
||||
दिए
|
||||
दिएको
|
||||
दिन
|
||||
दिनुभएको
|
||||
दिनुहुन्छ
|
||||
दुइ
|
||||
दुइवटा
|
||||
दुई
|
||||
देखि
|
||||
देखिन्छ
|
||||
देखियो
|
||||
देखे
|
||||
देखेको
|
||||
देखेर
|
||||
दोश्री
|
||||
दोश्रो
|
||||
दोस्रो
|
||||
द्वारा
|
||||
धन्न
|
||||
धेरै
|
||||
धौ
|
||||
न
|
||||
नगर्नु
|
||||
नगर्नू
|
||||
नजिकै
|
||||
नत्र
|
||||
नत्रभने
|
||||
नभई
|
||||
नभएको
|
||||
नभनेर
|
||||
नयाँ
|
||||
नि
|
||||
निकै
|
||||
निम्ति
|
||||
निम्न
|
||||
निम्नानुसार
|
||||
निर्दिष्ट
|
||||
नै
|
||||
नौ
|
||||
पक्का
|
||||
पक्कै
|
||||
पछाडि
|
||||
पछाडी
|
||||
पछि
|
||||
पछिल्लो
|
||||
पछी
|
||||
पटक
|
||||
पनि
|
||||
पन्ध्र
|
||||
पर्छ
|
||||
पर्थ्यो
|
||||
पर्दैन
|
||||
पर्ने
|
||||
पर्नेमा
|
||||
पर्याप्त
|
||||
पहिले
|
||||
पहिलो
|
||||
पहिल्यै
|
||||
पाँच
|
||||
पांच
|
||||
पाचौँ
|
||||
पाँचौं
|
||||
पिच्छे
|
||||
पूर्व
|
||||
पो
|
||||
प्रति
|
||||
प्रतेक
|
||||
प्रत्यक
|
||||
प्राय
|
||||
प्लस
|
||||
फरक
|
||||
फेरि
|
||||
फेरी
|
||||
बढी
|
||||
बताए
|
||||
बने
|
||||
बरु
|
||||
बाट
|
||||
बारे
|
||||
बाहिर
|
||||
बाहेक
|
||||
बाह्र
|
||||
बिच
|
||||
बिचमा
|
||||
बिरुद्ध
|
||||
बिशेष
|
||||
बिस
|
||||
बीच
|
||||
बीचमा
|
||||
बीस
|
||||
भए
|
||||
भएँ
|
||||
भएका
|
||||
भएकालाई
|
||||
भएको
|
||||
भएन
|
||||
भएर
|
||||
भन
|
||||
भने
|
||||
भनेको
|
||||
भनेर
|
||||
भन्
|
||||
भन्छन्
|
||||
भन्छु
|
||||
भन्दा
|
||||
भन्दै
|
||||
भन्नुभयो
|
||||
भन्ने
|
||||
भन्या
|
||||
भयेन
|
||||
भयो
|
||||
भर
|
||||
भरि
|
||||
भरी
|
||||
भा
|
||||
भित्र
|
||||
भित्री
|
||||
भीत्र
|
||||
म
|
||||
मध्य
|
||||
मध्ये
|
||||
मलाई
|
||||
मा
|
||||
मात्र
|
||||
मात्रै
|
||||
माथि
|
||||
माथी
|
||||
मुख्य
|
||||
मुनि
|
||||
मुन्तिर
|
||||
मेरो
|
||||
मैले
|
||||
यति
|
||||
यथोचित
|
||||
यदि
|
||||
यद्ध्यपि
|
||||
यद्यपि
|
||||
यस
|
||||
यसका
|
||||
यसको
|
||||
यसपछि
|
||||
यसबाहेक
|
||||
यसमा
|
||||
यसरी
|
||||
यसले
|
||||
यसो
|
||||
यस्तै
|
||||
यस्तो
|
||||
यहाँ
|
||||
यहाँसम्म
|
||||
यही
|
||||
या
|
||||
यी
|
||||
यो
|
||||
र
|
||||
रही
|
||||
रहेका
|
||||
रहेको
|
||||
रहेछ
|
||||
राखे
|
||||
राख्छ
|
||||
राम्रो
|
||||
रुपमा
|
||||
रूप
|
||||
रे
|
||||
लगभग
|
||||
लगायत
|
||||
लाई
|
||||
लाख
|
||||
लागि
|
||||
लागेको
|
||||
ले
|
||||
वटा
|
||||
वरीपरी
|
||||
वा
|
||||
वाट
|
||||
वापत
|
||||
वास्तवमा
|
||||
शायद
|
||||
सक्छ
|
||||
सक्ने
|
||||
सँग
|
||||
संग
|
||||
सँगको
|
||||
सँगसँगै
|
||||
सँगै
|
||||
संगै
|
||||
सङ्ग
|
||||
सङ्गको
|
||||
सट्टा
|
||||
सत्र
|
||||
सधै
|
||||
सबै
|
||||
सबैको
|
||||
सबैलाई
|
||||
समय
|
||||
समेत
|
||||
सम्भव
|
||||
सम्म
|
||||
सय
|
||||
सरह
|
||||
सहित
|
||||
सहितै
|
||||
सही
|
||||
साँच्चै
|
||||
सात
|
||||
साथ
|
||||
साथै
|
||||
सायद
|
||||
सारा
|
||||
सुनेको
|
||||
सुनेर
|
||||
सुरु
|
||||
सुरुको
|
||||
सुरुमै
|
||||
सो
|
||||
सोचेको
|
||||
सोचेर
|
||||
सोही
|
||||
सोह्र
|
||||
स्थित
|
||||
स्पष्ट
|
||||
हजार
|
||||
हरे
|
||||
हरेक
|
||||
हामी
|
||||
हामीले
|
||||
हाम्रा
|
||||
हाम्रो
|
||||
हुँदैन
|
||||
हुन
|
||||
हुनत
|
||||
हुनु
|
||||
हुने
|
||||
हुनेछ
|
||||
हुन्
|
||||
हुन्छ
|
||||
हुन्थ्यो
|
||||
हैन
|
||||
हो
|
||||
होइन
|
||||
होकि
|
||||
होला
|
||||
""".split()
|
||||
)
|
|
@ -170,6 +170,11 @@ def nb_tokenizer():
|
|||
return get_lang_class("nb").Defaults.create_tokenizer()
|
||||
|
||||
|
||||
@pytest.fixture(scope="session")
|
||||
def ne_tokenizer():
|
||||
return get_lang_class("ne").Defaults.create_tokenizer()
|
||||
|
||||
|
||||
@pytest.fixture(scope="session")
|
||||
def nl_tokenizer():
|
||||
return get_lang_class("nl").Defaults.create_tokenizer()
|
||||
|
|
0
spacy/tests/lang/ne/__init__.py
Normal file
0
spacy/tests/lang/ne/__init__.py
Normal file
19
spacy/tests/lang/ne/test_text.py
Normal file
19
spacy/tests/lang/ne/test_text.py
Normal file
|
@ -0,0 +1,19 @@
|
|||
# coding: utf-8
|
||||
from __future__ import unicode_literals
|
||||
|
||||
import pytest
|
||||
|
||||
|
||||
def test_ne_tokenizer_handlers_long_text(ne_tokenizer):
|
||||
text = """मैले पाएको सर्टिफिकेटलाई म त बोक्रो सम्झन्छु र अभ्यास तब सुरु भयो, जब मैले कलेज पार गरेँ र जीवनको पढाइ सुरु गरेँ ।"""
|
||||
tokens = ne_tokenizer(text)
|
||||
assert len(tokens) == 24
|
||||
|
||||
|
||||
@pytest.mark.parametrize(
|
||||
"text,length",
|
||||
[("समय जान कति पनि बेर लाग्दैन ।", 7), ("म ठूलो हुँदै थिएँ ।", 5)],
|
||||
)
|
||||
def test_ne_tokenizer_handles_cnts(ne_tokenizer, text, length):
|
||||
tokens = ne_tokenizer(text)
|
||||
assert len(tokens) == length
|
Loading…
Reference in New Issue
Block a user