Syntactical parsing involves the analysis of words in the sentence for grammar and their arrangement in a manner that shows the relationships among the words.
Dependency Grammar and Part of Speech tags are the important attributes of text syntactics.
Corpus
coming soon
Plugins
DependencyBuilder
@Plugin(type = SparkSink.PLUGIN_TYPE)
@Name("DependencyBuilder")
@Description("A building stage for an Apache Spark-NLP based Unlabeled Dependency Parser model.")
public class DependencyBuilder extends TextSink {
...
}
Parameters
| Model Name | The unique name of the Unlabeled Dependency Parser model. |
| Corpus Field | The name of the field in the input schema that contains the annotated corpus document. |
| Corpus Format | The format of the training corpus. Supported values are 'conll-u' (CoNLL-U corpus) and 'treebank' (TreeBank corpus). Default is 'conll-u'. |
| Model Configuration | |
| Iterations | The number of iterations to train the model. Default is 10. |
DependencyParser
@Plugin(type = SparkCompute.PLUGIN_TYPE)
@Name("DependencyParser")
@Description("A transformation stage that leverages an Unlabeled Dependency Parser model "
+ "to extract syntactic relations between words in a text document.")
public class DependencyParser extends TextCompute {
...
}
Parameters
| Model Name | The unique name of the Unlabeled Dependency Parser model. |
| Part of Speech Name | The unique name of the Part of Speech model. |
| Text Field | The name of the field in the input schema that contains the text document. |
| Sentence Field | The name of the field in the output schema that contains the extracted sentences. |
| Dependency Field | The name of the field in the output schema that contains the word dependencies. |