Part of Speech for English (pos_anc)

Description

Part of Speech trained for English trained Pos Anc dataset. Predicts the following tags :

Download

How to use

document_assembler = DocumentAssembler()
  .setInputCol("text")
  .setOutputCol("document")

sentence_detector = SentenceDetector()
  .setInputCols(["document"])
  .setOutputCol("sentence")

pos = PerceptronModel.pretrained("pos_anc", "en")
  .setInputCols(["document", "token"])
  .setOutputCol("pos")

pipeline = Pipeline(stages=[
  document_assembler,
  sentence_detector,
  posTagger
])

example = spark.createDataFrame(pd.DataFrame({'text': ["Hello from John Snow Labs!"]}))

result = pipeline.fit(example).transform(example)


val document_assembler = DocumentAssembler()
        .setInputCol("text")
        .setOutputCol("document")

val sentence_detector = SentenceDetector()
        .setInputCols(["document"])
.setOutputCol("sentence")

val pos = PerceptronModel.pretrained("pos_anc", "en")
        .setInputCols(Array("document", "token"))
        .setOutputCol("pos")

val pipeline = new Pipeline().setStages(Array(document_assembler, sentence_detector, pos))

val result = pipeline.fit(Seq.empty["Hello from John Snow Labs!"].toDS.toDF("text")).transform(data)
import nlu
text = ["Hello from John Snow Labs!"]
pos_df = nlu.load('en.pos.anc').predict(text, output_level = "token")
pos_df

Results

+----------+----------+
|token_result|pos_result|
+----------+----------+
|Hello     |UH        |
|from      |IN        |
|John      |NNP       |
|Snow      |NNP       |
|Labs      |NNP       |
|!         |.         |
+----------+----------+

Model Information

Model Name: pos_anc
Compatibility: Spark NLP 3.0.0+
License: Open Source
Edition: Official
Input Labels: [document, token]
Output Labels: [pos]
Language: en