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[new models] add three new Armenian models #45

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[new models] add three new Armenian models #45

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81f04da
add three new Armenian (HY) models
Lucaterre Nov 13, 2024
9fdb3b0
add three new Armenian (HY) models - fix typo for hy_hye
Lucaterre Nov 13, 2024
3864845
add three new Armenian (HY) models - update Readme
Lucaterre Nov 13, 2024
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1 change: 1 addition & 0 deletions .gitignore
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Expand Up @@ -3,6 +3,7 @@
/*.tsv
pie_extended/downloads/*
tests/**/*.txt
run.py
# Byte-compiled / optimized / DLL files
__pycache__/
*.py[cod]
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3 changes: 3 additions & 0 deletions README.md
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Expand Up @@ -40,6 +40,9 @@ The current system provide an easier access to adding **customized**:
- Early Modern French (Model: `freem`)
- Classical French (Model: `fr`)
- Old Dutch (Model: `dum`)
- Eastern Armenian (Model: `hy_hye`)
- Western Armenian (Model: `hy_hyw`)
- Classical Armenian (Model: `hy_xcl`)

If you trained models and want some help sharing them with Pie Extended, open an issue :)

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69 changes: 69 additions & 0 deletions pie_extended/models/hy_hye/__init__.py
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from ...utils import Metadata, File, get_path


MODEL_NAME = "hy_hye"

DESC = Metadata(
"Eastern Armenian",
MODEL_NAME,
["Chahan Vidal-Gorène", "Nadi Tomeh", "Victoria Khurshudyan"],
"Pie Model for Lemmatization, POS Tagging, and Morphological Analysis of Eastern Armenian, trained using Universal Dependencies for Eastern Armenian.",
"https://aclanthology.org/2024.nlp4dh-1.42/"
)
VERSION ="v1.0.0"
DOWNLOADS = [
File("https://zenodo.org/records/14059437/files/hye-ud-abbr-2024_11_04-21_35_36.tar?download=1", "abbr.tar"),
File("https://zenodo.org/records/14059437/files/hye-ud-adptype-2024_11_04-21_39_05.tar?download=1", "adptype.tar"),
File("https://zenodo.org/records/14059437/files/hye-ud-animacy-2024_11_04-21_44_47.tar?download=1", "animacy.tar"),
File("https://zenodo.org/records/14059437/files/hye-ud-aspect-2024_11_04-21_50_42.tar?download=1", "aspect.tar"),
File("https://zenodo.org/records/14059437/files/hye-ud-case-2024_11_04-21_56_25.tar?download=1", "case.tar"),
File("https://zenodo.org/records/14059437/files/hye-ud-definite-2024_11_04-22_02_34.tar?download=1", "definite.tar"),
File("https://zenodo.org/records/14059437/files/hye-ud-degree-2024_11_04-22_03_22.tar?download=1", "degree.tar"),
File("https://zenodo.org/records/14059437/files/hye-ud-lemma-2024_11_04-22_13_33.tar?download=1", "lemma.tar"),
File("https://zenodo.org/records/14059437/files/hye-ud-mood-2024_11_04-22_19_24.tar?download=1", "mood.tar"),
File("https://zenodo.org/records/14059437/files/hye-ud-nametype-2024_11_04-22_21_58.tar?download=1", "nametype.tar"),
File("https://zenodo.org/records/14059437/files/hye-ud-number-2024_11_04-22_27_32.tar?download=1", "number.tar"),
File("https://zenodo.org/records/14059437/files/hye-ud-number-psor-2024_11_04-22_28_20.tar?download=1", "number-psor.tar"),
File("https://zenodo.org/records/14059437/files/hye-ud-numform-2024_11_04-22_29_36.tar?download=1", "numform.tar"),
File("https://zenodo.org/records/14059437/files/hye-ud-numtype-2024_11_04-22_33_42.tar?download=1", "numtype.tar"),
File("https://zenodo.org/records/14059437/files/hye-ud-person-2024_11_04-22_39_19.tar?download=1", "person.tar"),
File("https://zenodo.org/records/14059437/files/hye-ud-person-psor-2024_11_04-22_40_06.tar?download=1", "person-psor.tar"),
File("https://zenodo.org/records/14059437/files/hye-ud-polarity-2024_11_04-22_43_46.tar?download=1", "polarity.tar"),
File("https://zenodo.org/records/14059437/files/hye-ud-polite-2024_11_04-22_44_32.tar?download=1", "polite.tar"),
File("https://zenodo.org/records/14059437/files/hye-ud-pos-2024_11_04-22_49_22.tar?download=1", "pos.tar"),
File("https://zenodo.org/records/14059437/files/hye-ud-poss-2024_11_04-22_51_44.tar?download=1", "poss.tar"),
File("https://zenodo.org/records/14059437/files/hye-ud-prontype-2024_11_04-22_57_28.tar?download=1", "prontype.tar"),
File("https://zenodo.org/records/14059437/files/hye-ud-subcat-2024_11_04-23_03_26.tar?download=1", "subcat.tar"),
File("https://zenodo.org/records/14059437/files/hye-ud-tense-2024_11_04-23_08_31.tar?download=1", "tense.tar"),
File("https://zenodo.org/records/14059437/files/hye-ud-verbform-2024_11_04-23_13_30.tar?download=1", "verbform.tar"),
File("https://zenodo.org/records/14059437/files/hye-ud-voice-2024_11_04-23_19_22.tar?download=1", "voice.tar")
]


Models = "<{},lemma><{},pos><{},abbr><{},adptype><{},animacy><{},aspect><{},case><{},definite><{},degree><{},mood><{},nametype><{},number><{},number[psor]><{},numform><{},numtype><{},person><{},person[psor]><{},polarity><{},polite><{},poss><{},prontype><{},subcat><{},tense><{},verbform><{},voice>".format(
get_path(MODEL_NAME, "lemma.tar"),
get_path(MODEL_NAME, "pos.tar"),
get_path(MODEL_NAME, "abbr.tar"),
get_path(MODEL_NAME, "adptype.tar"),
get_path(MODEL_NAME, "animacy.tar"),
get_path(MODEL_NAME, "aspect.tar"),
get_path(MODEL_NAME, "case.tar"),
get_path(MODEL_NAME, "definite.tar"),
get_path(MODEL_NAME, "degree.tar"),
get_path(MODEL_NAME, "mood.tar"),
get_path(MODEL_NAME, "nametype.tar"),
get_path(MODEL_NAME, "number.tar"),
get_path(MODEL_NAME, "number-psor.tar"),
get_path(MODEL_NAME, "numform.tar"),
get_path(MODEL_NAME, "numtype.tar"),
get_path(MODEL_NAME, "person.tar"),
get_path(MODEL_NAME, "person-psor.tar"),
get_path(MODEL_NAME, "polarity.tar"),
get_path(MODEL_NAME, "polite.tar"),
get_path(MODEL_NAME, "poss.tar"),
get_path(MODEL_NAME, "prontype.tar"),
get_path(MODEL_NAME, "subcat.tar"),
get_path(MODEL_NAME, "tense.tar"),
get_path(MODEL_NAME, "verbform.tar"),
get_path(MODEL_NAME, "voice.tar")
)
14 changes: 14 additions & 0 deletions pie_extended/models/hy_hye/imports.py
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from pie_extended.pipeline.postprocessor.proto import ProcessorPrototype
from pie_extended.pipeline.iterators.proto import DataIterator
from pie_extended.pipeline.tokenizers.simple_tokenizer import LengthTokenizer


def get_iterator_and_processor(max_tokens=256):
tokenizer = LengthTokenizer(35)
processor = ProcessorPrototype()
iterator = DataIterator(
tokenizer=tokenizer,
max_tokens=max_tokens
)
return iterator, processor

78 changes: 78 additions & 0 deletions pie_extended/models/hy_hyw/__init__.py
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from ...utils import Metadata, File, get_path

MODEL_NAME = "hy_hyw"

DESC = Metadata(
"Western Armenian",
MODEL_NAME,
["Chahan Vidal-Gorène", "Nadi Tomeh", "Victoria Khurshudyan"],
"Pie Model for Lemmatization, POS Tagging, and Morphological Analysis of Western Armenian, trained using Universal Dependencies for Western Armenian.",
"https://aclanthology.org/2024.nlp4dh-1.42/"
)

DOWNLOADS = [
File("https://zenodo.org/records/14060082/files/hyw-ud-abbr-2024_11_04-23_21_46.tar?download=1", "abbr.tar"),
File("https://zenodo.org/records/14060082/files/hyw-ud-adptype-2024_11_04-23_32_38.tar?download=1", "adptype.tar"),
File("https://zenodo.org/records/14060082/files/hyw-ud-animacy-2024_11_04-23_46_09.tar?download=1", "animacy.tar"),
File("https://zenodo.org/records/14060082/files/hyw-ud-aspect-2024_11_05-00_00_02.tar?download=1", "aspect.tar"),
File("https://zenodo.org/records/14060082/files/hyw-ud-case-2024_11_05-00_13_40.tar?download=1", "case.tar"),
File("https://zenodo.org/records/14060082/files/hyw-ud-connegative-2024_11_05-00_15_42.tar?download=1", "connegative.tar"),
File("https://zenodo.org/records/14060082/files/hyw-ud-definite-2024_11_05-00_26_35.tar?download=1", "definite.tar"),
File("https://zenodo.org/records/14060082/files/hyw-ud-degree-2024_11_05-00_28_25.tar?download=1", "degree.tar"),
File("https://zenodo.org/records/14060082/files/hyw-ud-deixis-2024_11_05-00_35_20.tar?download=1", "deixis.tar"),
File("https://zenodo.org/records/14060082/files/hyw-ud-echo-2024_11_05-00_37_23.tar?download=1", "echo.tar"),
File("https://zenodo.org/records/14060082/files/hyw-ud-hyph-2024_11_05-00_41_02.tar?download=1", "hyph.tar"),
File("https://zenodo.org/records/14060082/files/hyw-ud-lemma-2024_11_05-00_54_35.tar?download=1", "lemma.tar"),
File("https://zenodo.org/records/14060082/files/hyw-ud-mood-2024_11_05-01_03_36.tar?download=1", "mood.tar"),
File("https://zenodo.org/records/14060082/files/hyw-ud-number-2024_11_05-01_17_57.tar?download=1", "number.tar"),
File("https://zenodo.org/records/14060082/files/hyw-ud-numform-2024_11_05-01_23_02.tar?download=1", "numform.tar"),
File("https://zenodo.org/records/14060082/files/hyw-ud-numtype-2024_11_05-01_27_14.tar?download=1", "numtype.tar"),
File("https://zenodo.org/records/14060082/files/hyw-ud-person-2024_11_05-01_39_52.tar?download=1", "person.tar"),
File("https://zenodo.org/records/14060082/files/hyw-ud-person-psor-2024_11_05-01_41_42.tar?download=1", "person-psor.tar"),
File("https://zenodo.org/records/14060082/files/hyw-ud-polarity-2024_11_05-01_54_03.tar?download=1", "polarity.tar"),
File("https://zenodo.org/records/14060082/files/hyw-ud-polite-2024_11_05-01_55_54.tar?download=1", "polite.tar"),
File("https://zenodo.org/records/14060082/files/hyw-ud-pos-2024_11_05-02_07_23.tar?download=1", "pos.tar"),
File("https://zenodo.org/records/14060082/files/hyw-ud-poss-2024_11_05-02_12_00.tar?download=1", "poss.tar"),
File("https://zenodo.org/records/14060082/files/hyw-ud-prontype-2024_11_05-02_21_41.tar?download=1", "prontype.tar"),
File("https://zenodo.org/records/14060082/files/hyw-ud-reflex-2024_11_05-02_25_19.tar?download=1", "reflex.tar"),
File("https://zenodo.org/records/14060082/files/hyw-ud-style-2024_11_05-02_27_10.tar?download=1", "style.tar"),
File("https://zenodo.org/records/14060082/files/hyw-ud-subcat-2024_11_05-02_41_14.tar?download=1", "subcat.tar"),
File("https://zenodo.org/records/14060082/files/hyw-ud-tense-2024_11_05-02_51_17.tar?download=1", "tense.tar"),
File("https://zenodo.org/records/14060082/files/hyw-ud-typo-2024_11_05-02_53_08.tar?download=1", "typo.tar"),
File("https://zenodo.org/records/14060082/files/hyw-ud-verbform-2024_11_05-03_02_55.tar?download=1", "verbform.tar"),
File("https://zenodo.org/records/14060082/files/hyw-ud-voice-2024_11_05-03_15_54.tar?download=1", "voice.tar")
]


Models = "<{},lemma><{},pos><{},abbr><{},adptype><{},animacy><{},aspect><{},case><{},connegative><{},definite><{},degree><{},deixis><{},echo><{},hyph><{},mood><{},number><{},numform><{},numtype><{},person><{},person[psor]><{},polarity><{},polite><{},poss><{},prontype><{},reflex><{},style><{},subcat><{},tense><{},typo><{},verbform><{},voice>".format(
get_path(MODEL_NAME, "lemma.tar"),
get_path(MODEL_NAME, "pos.tar"),
get_path(MODEL_NAME, "abbr.tar"),
get_path(MODEL_NAME, "adptype.tar"),
get_path(MODEL_NAME, "animacy.tar"),
get_path(MODEL_NAME, "aspect.tar"),
get_path(MODEL_NAME, "case.tar"),
get_path(MODEL_NAME, "connegative.tar"),
get_path(MODEL_NAME, "definite.tar"),
get_path(MODEL_NAME, "degree.tar"),
get_path(MODEL_NAME, "deixis.tar"),
get_path(MODEL_NAME, "echo.tar"),
get_path(MODEL_NAME, "hyph.tar"),
get_path(MODEL_NAME, "mood.tar"),
get_path(MODEL_NAME, "number.tar"),
get_path(MODEL_NAME, "numform.tar"),
get_path(MODEL_NAME, "numtype.tar"),
get_path(MODEL_NAME, "person.tar"),
get_path(MODEL_NAME, "person-psor.tar"),
get_path(MODEL_NAME, "polarity.tar"),
get_path(MODEL_NAME, "polite.tar"),
get_path(MODEL_NAME, "poss.tar"),
get_path(MODEL_NAME, "prontype.tar"),
get_path(MODEL_NAME, "reflex.tar"),
get_path(MODEL_NAME, "style.tar"),
get_path(MODEL_NAME, "subcat.tar"),
get_path(MODEL_NAME, "tense.tar"),
get_path(MODEL_NAME, "typo.tar"),
get_path(MODEL_NAME, "verbform.tar"),
get_path(MODEL_NAME, "voice.tar")
)
14 changes: 14 additions & 0 deletions pie_extended/models/hy_hyw/imports.py
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from pie_extended.pipeline.postprocessor.proto import ProcessorPrototype
from pie_extended.pipeline.iterators.proto import DataIterator
from pie_extended.pipeline.tokenizers.simple_tokenizer import LengthTokenizer


def get_iterator_and_processor(max_tokens=256):
tokenizer = LengthTokenizer(35)
processor = ProcessorPrototype()
iterator = DataIterator(
tokenizer=tokenizer,
max_tokens=max_tokens
)
return iterator, processor

48 changes: 48 additions & 0 deletions pie_extended/models/hy_xcl/__init__.py
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from ...utils import Metadata, File, get_path

MODEL_NAME = "hy_xcl"

DESC = Metadata(
"Classical Armenian",
MODEL_NAME,
["Chahan Vidal-Gorène", "Nadi Tomeh", "Victoria Khurshudyan"],
"Pie Model for Lemmatization, POS Tagging, and Morphological Analysis of Classical Armenian, trained using Universal Dependencies for Classical Armenian.",
"https://aclanthology.org/2024.nlp4dh-1.42/"
)

DOWNLOADS = [
File("https://zenodo.org/records/14056139/files/xcl-ud-aspect-2024_11_05-03_24_48.tar?download=1", "aspect.tar"),
File("https://zenodo.org/records/14056139/files/xcl-ud-case-2024_11_05-03_33_09.tar?download=1", "case.tar"),
File("https://zenodo.org/records/14056139/files/xcl-ud-deixis-2024_11_05-03_38_12.tar?download=1", "deixis.tar"),
File("https://zenodo.org/records/14056139/files/xcl-ud-lemma-2024_11_05-03_49_41.tar?download=1", "lemma.tar"),
File("https://zenodo.org/records/14056139/files/xcl-ud-mood-2024_11_05-03_58_02.tar?download=1", "mood.tar"),
File("https://zenodo.org/records/14056139/files/xcl-ud-number-2024_11_05-04_06_32.tar?download=1", "number.tar"),
File("https://zenodo.org/records/14056139/files/xcl-ud-numtype-2024_11_05-04_08_02.tar?download=1", "numtype.tar"),
File("https://zenodo.org/records/14056139/files/xcl-ud-person-2024_11_05-04_15_37.tar?download=1", "person.tar"),
File("https://zenodo.org/records/14056139/files/xcl-ud-pos-2024_11_05-04_24_38.tar?download=1", "pos.tar"),
File("https://zenodo.org/records/14056139/files/xcl-ud-poss-2024_11_05-04_25_45.tar?download=1", "poss.tar"),
File("https://zenodo.org/records/14056139/files/xcl-ud-prontype-2024_11_05-04_31_17.tar?download=1", "prontype.tar"),
File("https://zenodo.org/records/14056139/files/xcl-ud-reflex-2024_11_05-04_32_26.tar?download=1", "reflex.tar"),
File("https://zenodo.org/records/14056139/files/xcl-ud-tense-2024_11_05-04_41_12.tar?download=1", "tense.tar"),
File("https://zenodo.org/records/14056139/files/xcl-ud-verbform-2024_11_05-04_49_41.tar?download=1", "verbform.tar"),
File("https://zenodo.org/records/14056139/files/xcl-ud-voice-2024_11_05-04_56_34.tar?download=1", "voice.tar")
]


Models = "<{},lemma><{},pos><{},aspect><{},case><{},deixis><{},mood><{},number><{},numtype><{},person><{},poss><{},prontype><{},reflex><{},tense><{},verbform><{},voice>".format(
get_path(MODEL_NAME, "lemma.tar"),
get_path(MODEL_NAME, "pos.tar"),
get_path(MODEL_NAME, "aspect.tar"),
get_path(MODEL_NAME, "case.tar"),
get_path(MODEL_NAME, "deixis.tar"),
get_path(MODEL_NAME, "mood.tar"),
get_path(MODEL_NAME, "number.tar"),
get_path(MODEL_NAME, "numtype.tar"),
get_path(MODEL_NAME, "person.tar"),
get_path(MODEL_NAME, "poss.tar"),
get_path(MODEL_NAME, "prontype.tar"),
get_path(MODEL_NAME, "reflex.tar"),
get_path(MODEL_NAME, "tense.tar"),
get_path(MODEL_NAME, "verbform.tar"),
get_path(MODEL_NAME, "voice.tar")
)
14 changes: 14 additions & 0 deletions pie_extended/models/hy_xcl/imports.py
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from pie_extended.pipeline.postprocessor.proto import ProcessorPrototype
from pie_extended.pipeline.iterators.proto import DataIterator
from pie_extended.pipeline.tokenizers.simple_tokenizer import LengthTokenizer


def get_iterator_and_processor(max_tokens=256):
tokenizer = LengthTokenizer(35)
processor = ProcessorPrototype()
iterator = DataIterator(
tokenizer=tokenizer,
max_tokens=max_tokens
)
return iterator, processor