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Add Ligurian language
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.github/contributors/Baciccin.md
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.github/contributors/Baciccin.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 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
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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 | Giovanni Battista Parodi |
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| Company name (if applicable) | |
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| Title or role (if applicable) | |
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| Date | 2020-03-19 |
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| GitHub username | Baciccin |
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| Website (optional) | |
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31
spacy/lang/lij/__init__.py
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spacy/lang/lij/__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 .tokenizer_exceptions import TOKENIZER_EXCEPTIONS
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from .punctuation import TOKENIZER_INFIXES
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from ..tokenizer_exceptions import BASE_EXCEPTIONS
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from ..norm_exceptions import BASE_NORMS
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from ...language import Language
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from ...attrs import LANG, NORM
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from ...util import update_exc, add_lookups
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class LigurianDefaults(Language.Defaults):
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lex_attr_getters = dict(Language.Defaults.lex_attr_getters)
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lex_attr_getters[LANG] = lambda text: "lij"
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lex_attr_getters[NORM] = add_lookups(
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Language.Defaults.lex_attr_getters[NORM], BASE_NORMS
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)
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tokenizer_exceptions = update_exc(BASE_EXCEPTIONS, TOKENIZER_EXCEPTIONS)
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stop_words = STOP_WORDS
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infixes = TOKENIZER_INFIXES
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class Ligurian(Language):
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lang = "lij"
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Defaults = LigurianDefaults
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__all__ = ["Ligurian"]
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18
spacy/lang/lij/examples.py
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spacy/lang/lij/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.lij.examples import sentences
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>>> docs = nlp.pipe(sentences)
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"""
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sentences = [
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"Sciusciâ e sciorbî no se peu.",
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"Graçie di çetroin, che me son arrivæ.",
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"Vegnime apreuvo, che ve fasso pescâ di òmmi.",
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"Bella pe sempre l'ægua inta conchetta quande unn'agoggia d'ægua a se â trapaña.",
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]
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spacy/lang/lij/punctuation.py
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spacy/lang/lij/punctuation.py
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# coding: utf8
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from __future__ import unicode_literals
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from ..punctuation import TOKENIZER_INFIXES
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from ..char_classes import ALPHA
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ELISION = " ' ’ ".strip().replace(" ", "").replace("\n", "")
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_infixes = TOKENIZER_INFIXES + [
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r"(?<=[{a}][{el}])(?=[{a}])".format(a=ALPHA, el=ELISION)
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]
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TOKENIZER_INFIXES = _infixes
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43
spacy/lang/lij/stop_words.py
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spacy/lang/lij/stop_words.py
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# coding: utf8
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from __future__ import unicode_literals
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STOP_WORDS = set(
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"""
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a à â a-a a-e a-i a-o aiva aloa an ancheu ancon apreuvo ascì atra atre atri atro avanti avei
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bella belle belli bello ben
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ch' che chì chi ciù co-a co-e co-i co-o comm' comme con cösa coscì cöse
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d' da da-a da-e da-i da-o dapeu de delongo derê di do doe doî donde dòppo
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é e ê ea ean emmo en ëse
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fin fiña
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gh' ghe guæei
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i î in insemme int' inta inte inti into
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l' lê lì lô
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m' ma manco me megio meno mezo mi
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na n' ne ni ninte nisciun nisciuña no
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o ò ô oua
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parte pe pe-a pe-i pe-e pe-o perché pittin pö primma pròpio
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quæ quand' quande quarche quella quelle quelli quello
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s' sce scê sci sciâ sciô sciù se segge seu sò solo son sott' sta stæta stæte stæti stæto ste sti sto
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tanta tante tanti tanto te ti torna tra tròppo tutta tutte tutti tutto
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un uña unn' unna
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za zu
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""".split()
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)
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spacy/lang/lij/tokenizer_exceptions.py
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spacy/lang/lij/tokenizer_exceptions.py
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# coding: utf8
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from __future__ import unicode_literals
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from ...symbols import ORTH, LEMMA
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_exc = {}
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for raw, lemma in [
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("a-a", "a-o"),
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("a-e", "a-o"),
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("a-o", "a-o"),
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("a-i", "a-o"),
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("co-a", "co-o"),
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("co-e", "co-o"),
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("co-i", "co-o"),
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("co-o", "co-o"),
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("da-a", "da-o"),
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("da-e", "da-o"),
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("da-i", "da-o"),
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("da-o", "da-o"),
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("pe-a", "pe-o"),
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("pe-e", "pe-o"),
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("pe-i", "pe-o"),
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("pe-o", "pe-o"),
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]:
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for orth in [raw, raw.capitalize()]:
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_exc[orth] = [{ORTH: orth, LEMMA: lemma}]
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# Prefix + prepositions with à (e.g. "sott'a-o")
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for prep, prep_lemma in [
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("a-a", "a-o"),
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("a-e", "a-o"),
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("a-o", "a-o"),
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("a-i", "a-o"),
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]:
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for prefix, prefix_lemma in [
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("sott'", "sotta"),
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("sott’", "sotta"),
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("contr'", "contra"),
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("contr’", "contra"),
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("ch'", "che"),
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("ch’", "che"),
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("s'", "se"),
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("s’", "se"),
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]:
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for prefix_orth in [prefix, prefix.capitalize()]:
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_exc[prefix_orth+prep] = [
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{ORTH: prefix_orth, LEMMA: prefix_lemma},
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{ORTH: prep, LEMMA: prep_lemma},
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]
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TOKENIZER_EXCEPTIONS = _exc
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@ -181,6 +181,12 @@
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"name": "Vietnamese",
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"name": "Vietnamese",
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"dependencies": [{ "name": "Pyvi", "url": "https://github.com/trungtv/pyvi" }]
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"dependencies": [{ "name": "Pyvi", "url": "https://github.com/trungtv/pyvi" }]
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},
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},
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{
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"code": "lij",
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"name": "Ligurian",
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"example": "Sta chì a l'é unna fraxe.",
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"has_examples": true
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},
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{
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{
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"code": "xx",
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"code": "xx",
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"name": "Multi-language",
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"name": "Multi-language",
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