Parsing a Sentence

We start by creating a parser, in this case an AlphaBeta parser for the English language:

from hyperbase import get_parser
parser = get_parser("alphabeta", lang="en")

Initializing the parser requires loading potentially large language models. This can take from a few seconds to a minute. Let's assign some text to a variable, in this case a simple sentence:

text = "The Turing test, developed by Alan Turing in 1950, is a test of machine intelligence."

Finally, let us parse the text and print the result:

results = parser.parse(text)
for result in results:
    print(result.edge)

Calling the parse() method on a parser object returns a list of ParseResult objects -- one per sentence. Each ParseResult contains an edge attribute with the hyperedge that directly corresponds to the sentence, along with the original text, tokens, and other metadata. Printing a hyperedge displays its SH notation string. The code above should cause a single hyperedge to be printed to the screen.

You can also inspect the original text and tokens:

for result in results:
    print(result.text, "->", result.edge)

Experiment with changing the text that is passed to the parser object and see what happens.