We propose a NooJ morphosyntactic tagging postprocessing module for resolving problems which aris... more We propose a NooJ morphosyntactic tagging postprocessing module for resolving problems which arise in disambiguation of adjectives and adverbs that, due to morphology of the Croatian language, appear in the same form. Specifically, forms of descriptive adjectives in the nominative singular case in the neuter gender are the same as the forms of the adverbs that are made from those adjectives by suffixation. We have implemented a set of local grammars for correcting such occurences and applied it on two corpora of Croatian texts and manually evaluated the module. We suggest the inclusion of such a model of disambiguation to existing pipelines of processing Croatian text and developing Croatian language resources in order to improve the efficiency and accuracy of those tools and procedures.
Empirical Methods in Natural Language Processing, Oct 1, 2013
We investigate statistical dependency parsing of two closely related languages, Croatian and Serb... more We investigate statistical dependency parsing of two closely related languages, Croatian and Serbian. As these two morphologically complex languages of relaxed word order are generally under-resourced -with the topic of dependency parsing still largely unaddressed, especially for Serbian -we make use of the two available dependency treebanks of Croatian to produce state-of-the-art parsing models for both languages. We observe parsing accuracy on four test sets from two domains. We give insight into overall parser performance for Croatian and Serbian, impact of preprocessing for lemmas and morphosyntactic tags and influence of selected morphosyntactic features on parsing accuracy.
We present a new version of the Croatian Dependency Treebank. It constitutes a slight departure f... more We present a new version of the Croatian Dependency Treebank. It constitutes a slight departure from the previously closely observed Prague Dependency Treebank syntactic layer annotation guidelines as we introduce a new subset of syntactic tags on top of the existing tagset. These new tags are used in explicit annotation of subordinate clauses via subordinate conjunctions. Introducing the new annotation to Croatian Dependency Treebank, we also modify head attachment rules addressing subordinate conjunctions and subordinate clause predicates. In an experiment with data-driven dependency parsing, we show that implementing these new annotation guidelines leeds to a statistically significant improvement in parsing accuracy. We also observe a substantial improvement in inter-annotator agreement, facilitating more consistent annotation in further treebank development.
We investigate statistical dependency parsing of two closely related languages, Croatian and Serb... more We investigate statistical dependency parsing of two closely related languages, Croatian and Serbian. As these two morphologically complex languages of relaxed word order are generally under-resourced -with the topic of dependency parsing still largely unaddressed, especially for Serbian -we make use of the two available dependency treebanks of Croatian to produce state-of-the-art parsing models for both languages. We observe parsing accuracy on four test sets from two domains. We give insight into overall parser performance for Croatian and Serbian, impact of preprocessing for lemmas and morphosyntactic tags and influence of selected morphosyntactic features on parsing accuracy.
We present the current state of development of the Croatian Dependency Treebank-with special empa... more We present the current state of development of the Croatian Dependency Treebank-with special empahsis on adapting the Prague Dependency Treebank formalism to Croatian language specifics-and illustrate its possible applications in an experiment with dependency parsing using MaltParser. The treebank currently contains approximately 2870 sentences, out of which the 2699 sentences and 66930 tokens were used in this experiment. Three linear-time projective algorithms implemented by the MaltParser system-Nivre eager, Nivre standard and stack projective-running on default settings were used in the experiment. The highest performing system, implementing the Nivre eager algorithm, scored (LAS 71.31 UAS 80.93 LA 83.87) within our experiment setup. The results obtained serve as an illustration of treebank's usefulness in natural language processing research and as a baseline for further research in dependency parsing of Croatian.
We present the current state of development of the Croatian Dependency Treebank-with special empa... more We present the current state of development of the Croatian Dependency Treebank-with special empahsis on adapting the Prague Dependency Treebank formalism to Croatian language specifics-and illustrate its possible applications in an experiment with dependency parsing using MaltParser. The treebank currently contains approximately 2870 sentences, out of which the 2699 sentences and 66930 tokens were used in this experiment. Three linear-time projective algorithms implemented by the MaltParser system-Nivre eager, Nivre standard and stack projective-running on default settings were used in the experiment. The highest performing system, implementing the Nivre eager algorithm, scored (LAS 71.31 UAS 80.93 LA 83.87) within our experiment setup. The results obtained serve as an illustration of treebank's usefulness in natural language processing research and as a baseline for further research in dependency parsing of Croatian.
We propose a NooJ morphosyntactic tagging postprocessing module for resolving problems which aris... more We propose a NooJ morphosyntactic tagging postprocessing module for resolving problems which arise in disambiguation of adjectives and adverbs that, due to morphology of the Croatian language, appear in the same form. Specifically, forms of descriptive adjectives in the nominative singular case in the neuter gender are the same as the forms of the adverbs that are made from those adjectives by suffixation. We have implemented a set of local grammars for correcting such occurences and applied it on two corpora of Croatian texts and manually evaluated the module. We suggest the inclusion of such a model of disambiguation to existing pipelines of processing Croatian text and developing Croatian language resources in order to improve the efficiency and accuracy of those tools and procedures.
Empirical Methods in Natural Language Processing, Oct 1, 2013
We investigate statistical dependency parsing of two closely related languages, Croatian and Serb... more We investigate statistical dependency parsing of two closely related languages, Croatian and Serbian. As these two morphologically complex languages of relaxed word order are generally under-resourced -with the topic of dependency parsing still largely unaddressed, especially for Serbian -we make use of the two available dependency treebanks of Croatian to produce state-of-the-art parsing models for both languages. We observe parsing accuracy on four test sets from two domains. We give insight into overall parser performance for Croatian and Serbian, impact of preprocessing for lemmas and morphosyntactic tags and influence of selected morphosyntactic features on parsing accuracy.
We present a new version of the Croatian Dependency Treebank. It constitutes a slight departure f... more We present a new version of the Croatian Dependency Treebank. It constitutes a slight departure from the previously closely observed Prague Dependency Treebank syntactic layer annotation guidelines as we introduce a new subset of syntactic tags on top of the existing tagset. These new tags are used in explicit annotation of subordinate clauses via subordinate conjunctions. Introducing the new annotation to Croatian Dependency Treebank, we also modify head attachment rules addressing subordinate conjunctions and subordinate clause predicates. In an experiment with data-driven dependency parsing, we show that implementing these new annotation guidelines leeds to a statistically significant improvement in parsing accuracy. We also observe a substantial improvement in inter-annotator agreement, facilitating more consistent annotation in further treebank development.
We investigate statistical dependency parsing of two closely related languages, Croatian and Serb... more We investigate statistical dependency parsing of two closely related languages, Croatian and Serbian. As these two morphologically complex languages of relaxed word order are generally under-resourced -with the topic of dependency parsing still largely unaddressed, especially for Serbian -we make use of the two available dependency treebanks of Croatian to produce state-of-the-art parsing models for both languages. We observe parsing accuracy on four test sets from two domains. We give insight into overall parser performance for Croatian and Serbian, impact of preprocessing for lemmas and morphosyntactic tags and influence of selected morphosyntactic features on parsing accuracy.
We present the current state of development of the Croatian Dependency Treebank-with special empa... more We present the current state of development of the Croatian Dependency Treebank-with special empahsis on adapting the Prague Dependency Treebank formalism to Croatian language specifics-and illustrate its possible applications in an experiment with dependency parsing using MaltParser. The treebank currently contains approximately 2870 sentences, out of which the 2699 sentences and 66930 tokens were used in this experiment. Three linear-time projective algorithms implemented by the MaltParser system-Nivre eager, Nivre standard and stack projective-running on default settings were used in the experiment. The highest performing system, implementing the Nivre eager algorithm, scored (LAS 71.31 UAS 80.93 LA 83.87) within our experiment setup. The results obtained serve as an illustration of treebank's usefulness in natural language processing research and as a baseline for further research in dependency parsing of Croatian.
We present the current state of development of the Croatian Dependency Treebank-with special empa... more We present the current state of development of the Croatian Dependency Treebank-with special empahsis on adapting the Prague Dependency Treebank formalism to Croatian language specifics-and illustrate its possible applications in an experiment with dependency parsing using MaltParser. The treebank currently contains approximately 2870 sentences, out of which the 2699 sentences and 66930 tokens were used in this experiment. Three linear-time projective algorithms implemented by the MaltParser system-Nivre eager, Nivre standard and stack projective-running on default settings were used in the experiment. The highest performing system, implementing the Nivre eager algorithm, scored (LAS 71.31 UAS 80.93 LA 83.87) within our experiment setup. The results obtained serve as an illustration of treebank's usefulness in natural language processing research and as a baseline for further research in dependency parsing of Croatian.
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Papers by Daša Berović