Part of Speech for Turkish

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_imst", "tr") \
    .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, kuzeyin kralı olmanın yanı sıra bir İngiliz doktordur ve anestezi ve tıbbi hijyenin geliştirilmesinde liderdir.")

val pos = PerceptronModel.pretrained("pos_ud_imst", "tr")
    .setInputCols(Array("document", "token"))
    .setOutputCol("pos")

Results

[Row(annotatorType='pos', begin=0, end=3, result='NOUN', metadata={'word': 'John'}, embeddings=[]),
Row(annotatorType='pos', begin=5, end=8, result='PROPN', metadata={'word': 'Snow'}, embeddings=[]),
Row(annotatorType='pos', begin=9, end=9, result='PUNCT', metadata={'word': ','}, embeddings=[]),
Row(annotatorType='pos', begin=11, end=17, result='NOUN', metadata={'word': 'kuzeyin'}, embeddings=[]),
Row(annotatorType='pos', begin=19, end=23, result='NOUN', metadata={'word': 'kralı'}, embeddings=[]),
...]

Model Information

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

Data Source

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