Part of Speech for Slovenian

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_ssj", "sl") \
    .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("John Snow je poleg tega, da je severni kralj, angleški zdravnik in vodilni v razvoju anestezije in zdravstvene higiene.")

val pos = PerceptronModel.pretrained("pos_ud_ssj", "sl")
    .setInputCols(Array("document", "token"))
    .setOutputCol("pos")

Results

[Row(annotatorType='pos', begin=0, end=3, result='PROPN', metadata={'word': 'John'}, embeddings=[]),
Row(annotatorType='pos', begin=5, end=8, result='PROPN', metadata={'word': 'Snow'}, embeddings=[]),
Row(annotatorType='pos', begin=10, end=11, result='AUX', metadata={'word': 'je'}, embeddings=[]),
Row(annotatorType='pos', begin=13, end=17, result='ADP', metadata={'word': 'poleg'}, embeddings=[]),
Row(annotatorType='pos', begin=19, end=22, result='DET', metadata={'word': 'tega'}, embeddings=[]),
...]

Model Information

Model Name: pos_ud_ssj
Type: pos
Compatibility: Spark NLP 2.5.5+
Edition: Official
Input labels: [token]
Output labels: [pos]
Language: sl
Case sensitive: false
License: Open Source

Data Source

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