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If a sentence is composed of two or more clauses, each clause is formed using the same procedure shown as in Figure 2. We then adjoin these clauses at a clause.
If a sentence is composed of two or more clauses, each clause is formed using the same procedure shown as in Figure 2. We then adjoin these clauses at a clause.
Keeping it Simple: Generating Phrase Structure Trees from a Hindi Dependency Treebank. from www.semanticscholar.org
A conversion algorithm is proposed that converts the Hindi-Urdu Dependency Treebank to a Phrase Structure (PS) representation and generates 'valid' PS trees ...
Jun 13, 2018 · In this paper, we propose a conversion algorithm that converts the Hindi-Urdu Dependency Treebank (HUTB) to a Phrase Structure (PS) ...
Keeping it Simple: Generating Phrase Structure Trees from a Hindi Dependency Treebank. Himanshu Yadav, Ashwini Vaidya, Samar Husain. 2017, International ...
Keeping it Simple: Generating Phrase Structure Trees from a Hindi Dependency Treebank. 5th International Workshop on Treebanks and Linguistic Theories ...
Jan 6, 2017 · Keeping it Simple: Generating Phrase Structure Trees from a Hindi Dependency Treebank 123-133. Himanshu Yadav, Ashwini Vaidya, Samar Husain ...
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In this paper, we present an approach for automatically creating a combinatory categorial grammar (CCG) treebank from a dependency treebank for the subject– ...
Keeping it Simple: Generating Phrase Structure Trees from a Hindi Dependency Treebank. Conference Paper. Full-text available. Jan 2017. Himanshu ...
Keeping it Simple: Generating Phrase Structure Trees from a Hindi Dependency Treebank · Himanshu YadavAshwini VaidyaSamar Husain. Computer Science. TLT. 2017.