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Form and function of nouns in Czech: relation between nominal case and syntactic function. Based on a synchronic written corpus of Czech (SYN2005)
Jelínek, Tomáš ; Petkevič, Vladimír (advisor) ; Lopatková, Markéta (referee) ; Uličný, Oldřich (referee)
The case in Czech is the basic morphological means by which nouns express their function in a sentence. The objective of this thesis is to describe, from a frequency point of view, the relation between form and function of nouns, or, more precisely, how frequently cases (both simple and prepositional) are used to realise syntactic functions in sentences. The thesis is based on one of the largest corpora of written synchronic Czech: 100-million-token corpus SYN2005. In order to obtain data on frequencies of syntactic functions of nouns in relation to their cases, we annotated the corpus SYN2005 with a dependency syntactic annotation. For this annotation, we adopted the format of the analytical layer of the Prague Dependency Treebank. The syntactic annotation has been performed by a stochastic parser: the MST parser. Since the reliability of this annotation was not high enough, we have built an automatic correction module, which identifies errors of syntactic annotation in the output of the stochastic parser and corrects these errors by means of linguistic rules. We have implemented 26 different rules, but annotation errors have been reduced by merely 6-8%. However, this correction module can be further developed. It can be used to correct the output of any dependency parser trained on the data from...
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English reason clauses introduced by the conjunctions "since" and "as"
Cilcová, Klára ; Brůhová, Gabriela (advisor) ; Gráf, Tomáš (referee)
The present thesis studies English reason clauses introduced by the conjunctions since and as. English reason clauses are subsumed under the category of subordinate clauses and as such they accompany matrix clauses in the complex sentences. They can be placed in any of the positions in the sentence and serve various semantic roles and syntactic functions. The main aim of the present work is the analysis of English reason clauses introduced by the conjunctions since and as in terms of their position and the semantic relationship between them and their matrix clauses. For the purpose of the latter, also their syntactic functions are studied. Furthermore, the analysis is concerned with the factors which may be influential in the choice of the position of reason clauses. The analysis is performed on one hundred examples of English reason clauses introduced by the conjunctions since and as (50 examples introduced by since and 50 by as) that have been extracted from the works of prose by the means of the British National Corpus.
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Form and function of nouns in Czech: relation between nominal case and syntactic function. Based on a synchronic written corpus of Czech (SYN2005)
Jelínek, Tomáš ; Petkevič, Vladimír (advisor) ; Lopatková, Markéta (referee) ; Uličný, Oldřich (referee)
The case in Czech is the basic morphological means by which nouns express their function in a sentence. The objective of this thesis is to describe, from a frequency point of view, the relation between form and function of nouns, or, more precisely, how frequently cases (both simple and prepositional) are used to realise syntactic functions in sentences. The thesis is based on one of the largest corpora of written synchronic Czech: 100-million-token corpus SYN2005. In order to obtain data on frequencies of syntactic functions of nouns in relation to their cases, we annotated the corpus SYN2005 with a dependency syntactic annotation. For this annotation, we adopted the format of the analytical layer of the Prague Dependency Treebank. The syntactic annotation has been performed by a stochastic parser: the MST parser. Since the reliability of this annotation was not high enough, we have built an automatic correction module, which identifies errors of syntactic annotation in the output of the stochastic parser and corrects these errors by means of linguistic rules. We have implemented 26 different rules, but annotation errors have been reduced by merely 6-8%. However, this correction module can be further developed. It can be used to correct the output of any dependency parser trained on the data from...
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