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.
How to use
...
pos = PerceptronModel.pretrained("pos_ud_nynorsk", "nn") \
.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("Annet enn å være kongen i nord, er John Snow en engelsk lege og en leder innen utvikling av anestesi og medisinsk hygiene.")
...
val pos = PerceptronModel.pretrained("pos_ud_nynorsk", "nn")
.setInputCols(Array("document", "token"))
.setOutputCol("pos")
val pipeline = new Pipeline().setStages(Array(document_assembler, sentence_detector, tokenizer, pos))
val result = pipeline.fit(Seq.empty["Annet enn å være kongen i nord, er John Snow en engelsk lege og en leder innen utvikling av anestesi og medisinsk hygiene."].toDS.toDF("text")).transform(data)
Results
[Row(annotatorType='pos', begin=0, end=4, result='NOUN', metadata={'word': 'Annet'}),
Row(annotatorType='pos', begin=6, end=8, result='SCONJ', metadata={'word': 'enn'}),
Row(annotatorType='pos', begin=10, end=10, result='PART', metadata={'word': 'å'}),
Row(annotatorType='pos', begin=12, end=15, result='VERB', metadata={'word': 'være'}),
Row(annotatorType='pos', begin=17, end=22, result='NOUN', metadata={'word': 'kongen'}),
...]
Model Information
| Model Name: | pos_ud_nynorsk |
| Type: | pos |
| Compatibility: | Spark NLP 2.5.0+ |
| Edition: | Official |
| Input labels: | [token] |
| Output labels: | [pos] |
| Language: | nn |
| Case sensitive: | false |
| License: | Open Source |
Data Source
The model is imported from https://universaldependencies.org