Part of Speech for English(UK)

Description

This model annotates the part of speech of tokens in a text. The parts of speech annotated include PRON (pronoun), CCONJ (coordinating conjunction), and 15 others. The part of speech model is useful for extracting the grammatical structure of a piece of text automatically.

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How to use


pos = PerceptronModel.pretrained("pos_ud_iu", "uk") \
    .setInputCols(["document", "token"]) \
    .setOutputCol("pos")
nlp_pipeline = Pipeline(stages=[document_assembler, sentence_detector, tokenizer, pos])
light_pipeline = LightPipeline(nlp_pipeline.fit(spark.createDataFrame([['']]).toDF("text")))
results = light_pipeline.fullAnnotate("За винятком того, що є королем півночі, Джон Сноу є англійським лікарем та лідером у розвитку анестезії та медичної гігієни.")

val pos = PerceptronModel.pretrained("pos_ud_iu", "uk")
    .setInputCols(Array("document", "token"))
    .setOutputCol("pos")

Results

[Row(annotatorType='pos', begin=0, end=1, result='ADP', metadata={'word': 'За'}, embeddings=[]),
Row(annotatorType='pos', begin=3, end=10, result='NOUN', metadata={'word': 'винятком'}, embeddings=[]),
Row(annotatorType='pos', begin=12, end=15, result='PRON', metadata={'word': 'того'}, embeddings=[]),
Row(annotatorType='pos', begin=16, end=16, result='PUNCT', metadata={'word': ','}, embeddings=[]),
Row(annotatorType='pos', begin=18, end=19, result='SCONJ', metadata={'word': 'що'}, embeddings=[]),
...]

Model Information

Model Name: pos_ud_iu
Type: pos
Compatibility: Spark NLP 2.5.0+
Edition: Official
Input labels: [token]
Output labels: [pos]
Language: uk
Case sensitive: false
License: Open Source

Data Source

The model is imported from https://universaldependencies.org