| dc.description.abstract | Abstract: Question-Answer Generation is
one of the research areas in the field of
Natural Language Processing. This paper
presents how the Sinhala question-answer
generator operates through the thematic
relation on the given input sentence. This
Sinhala question generator operates on an
input of a well-defined Sinhala sentence with
the subject, object, and verb along with some
specifically identified POS tags for the system
like Nouns, Pronouns, Adjectives, Verbs and
Adverbs which can make noun phrases and
verb phrases from all the possible
combinations. The system uses a Sinhala
tokenizer, Sinhala POS tagger, Chunker, and
the semantic relationship identifier with the
support of the NLTK libraries. Through the
syntax analysis, it can identify thematic
relations for the Sinhala input sentence.
Through these semantics relations, it has the
ability to generate Sinhala questions and
related answers through the rule-based
approach. The present system has been
tested with 56 sample sentences. According
to the evaluation, the system shows a 93%
correctness rate. | en_US |
