Suchergebnisse

Engl. Zsfassung u.d.T.: 1941 June uprising

In our paper we present a corpus of transcribed Lithuanian parliamentary speeches. The corpus is prepared in a specific format, appropriate for different authorship identification tasks. The corpus consists of approximately 111 thousand texts (24 million words). Each text matches one parliamentary speech produced during an ordinary session from the period of 7 parliamentary terms starting on March 10, 1990 and ending on December 23, 2013. The texts are grouped into 147 categories corresponding to individual authors, therefore they can be used for authorship attribution tasks; besides, these texts are also grouped according to age, gender and political views, therefore they are also suitable for author profiling tasks. Whereas short texts complicate recognition of author speaking style and are ambiguous in relation to the style of other authors, we incorporated only texts containing not less than 100 words into the corpus. In order to make each category as comprehensive and representative as possible, we included only those authors, who produced speeches at least 200 times. All the texts are lemmatized, morphologically and syntactically annotated, tokenized into the character n-grams. The statistical information of the corpus is also available. We have also demonstrated that the created corpus can be effectively used in authorship attribution and author profiling tasks with supervised machine learning methods. The corpus structure also allows using it with unsupervised machine learning methods and can be used for creation of rule-based methods, as well as in different linguistic analyses.

In our paper we present a corpus of transcribed Lithuanian parliamentary speeches. The corpus is prepared in a specific format, appropriate for different authorship identification tasks. The corpus consists of approximately 111 thousand texts (24 million words). Each text matches one parliamentary speech produced during an ordinary session from the period of 7 parliamentary terms starting on March 10, 1990 and ending on December 23, 2013. The texts are grouped into 147 categories corresponding to individual authors, therefore they can be used for authorship attribution tasks; besides, these texts are also grouped according to age, gender and political views, therefore they are also suitable for author profiling tasks. Whereas short texts complicate recognition of author speaking style and are ambiguous in relation to the style of other authors, we incorporated only texts containing not less than 100 words into the corpus. In order to make each category as comprehensive and representative as possible, we included only those authors, who produced speeches at least 200 times. All the texts are lemmatized, morphologically and syntactically annotated, tokenized into the character n-grams. The statistical information of the corpus is also available. We have also demonstrated that the created corpus can be effectively used in authorship attribution and author profiling tasks with supervised machine learning methods. The corpus structure also allows using it with unsupervised machine learning methods and can be used for creation of rule-based methods, as well as in different linguistic analyses.

In our paper we present a corpus of transcribed Lithuanian parliamentary speeches. The corpus is prepared in a specific format, appropriate for different authorship identification tasks. The corpus consists of approximately 111 thousand texts (24 million words). Each text matches one parliamentary speech produced during an ordinary session from the period of 7 parliamentary terms starting on March 10, 1990 and ending on December 23, 2013. The texts are grouped into 147 categories corresponding to individual authors, therefore they can be used for authorship attribution tasks; besides, these texts are also grouped according to age, gender and political views, therefore they are also suitable for author profiling tasks. Whereas short texts complicate recognition of author speaking style and are ambiguous in relation to the style of other authors, we incorporated only texts containing not less than 100 words into the corpus. In order to make each category as comprehensive and representative as possible, we included only those authors, who produced speeches at least 200 times. All the texts are lemmatized, morphologically and syntactically annotated, tokenized into the character n-grams. The statistical information of the corpus is also available. We have also demonstrated that the created corpus can be effectively used in authorship attribution and author profiling tasks with supervised machine learning methods. The corpus structure also allows using it with unsupervised machine learning methods and can be used for creation of rule-based methods, as well as in different linguistic analyses.

In our paper we present a corpus of transcribed Lithuanian parliamentary speeches. The corpus is prepared in a specific format, appropriate for different authorship identification tasks. The corpus consists of approximately 111 thousand texts (24 million words). Each text matches one parliamentary speech produced during an ordinary session from the period of 7 parliamentary terms starting on March 10, 1990 and ending on December 23, 2013. The texts are grouped into 147 categories corresponding to individual authors, therefore they can be used for authorship attribution tasks; besides, these texts are also grouped according to age, gender and political views, therefore they are also suitable for author profiling tasks. Whereas short texts complicate recognition of author speaking style and are ambiguous in relation to the style of other authors, we incorporated only texts containing not less than 100 words into the corpus. In order to make each category as comprehensive and representative as possible, we included only those authors, who produced speeches at least 200 times. All the texts are lemmatized, morphologically and syntactically annotated, tokenized into the character n-grams. The statistical information of the corpus is also available. We have also demonstrated that the created corpus can be effectively used in authorship attribution and author profiling tasks with supervised machine learning methods. The corpus structure also allows using it with unsupervised machine learning methods and can be used for creation of rule-based methods, as well as in different linguistic analyses.

In our paper we present a corpus of transcribed Lithuanian parliamentary speeches. The corpus is prepared in a specific format, appropriate for different authorship identification tasks. The corpus consists of approximately 111 thousand texts (24 million words). Each text matches one parliamentary speech produced during an ordinary session from the period of 7 parliamentary terms starting on March 10, 1990 and ending on December 23, 2013. The texts are grouped into 147 categories corresponding to individual authors, therefore they can be used for authorship attribution tasks; besides, these texts are also grouped according to age, gender and political views, therefore they are also suitable for author profiling tasks. Whereas short texts complicate recognition of author speaking style and are ambiguous in relation to the style of other authors, we incorporated only texts containing not less than 100 words into the corpus. In order to make each category as comprehensive and representative as possible, we included only those authors, who produced speeches at least 200 times. All the texts are lemmatized, morphologically and syntactically annotated, tokenized into the character n-grams. The statistical information of the corpus is also available. We have also demonstrated that the created corpus can be effectively used in authorship attribution and author profiling tasks with supervised machine learning methods. The corpus structure also allows using it with unsupervised machine learning methods and can be used for creation of rule-based methods, as well as in different linguistic analyses.

This article analyses one element of corpus delicti of misappropriation of authorship, criminalised in Lithuanian Criminal Code Article 191 – the object (or the protected good) of a crime. The quality of Lithuanian national regulation and the scope of object of misappropriation of authorship, which affects the qualification of the crime, is evaluated by comparing it with other European Union countries' criminal legal regulation of intellectual property.

This article analyses one element of corpus delicti of misappropriation of authorship, criminalised in Lithuanian Criminal Code Article 191 – the object (or the protected good) of a crime. The quality of Lithuanian national regulation and the scope of object of misappropriation of authorship, which affects the qualification of the crime, is evaluated by comparing it with other European Union countries' criminal legal regulation of intellectual property.

This article analyses one element of corpus delicti of misappropriation of authorship, criminalised in Lithuanian Criminal Code Article 191 – the object (or the protected good) of a crime. The quality of Lithuanian national regulation and the scope of object of misappropriation of authorship, which affects the qualification of the crime, is evaluated by comparing it with other European Union countries' criminal legal regulation of intellectual property.

This article analyses one element of corpus delicti of misappropriation of authorship, criminalised in Lithuanian Criminal Code Article 191 – the object (or the protected good) of a crime. The quality of Lithuanian national regulation and the scope of object of misappropriation of authorship, which affects the qualification of the crime, is evaluated by comparing it with other European Union countries' criminal legal regulation of intellectual property.

Furthermore, in order to find out the possible obstacles for the proposal to apply criminal liability for the attempts with dolus eventualis, related norms of the Penal Code as well as the opinions of the researchers of criminal law are analysed. The analysis of Article 22 of the Lithuanian Penal Code shows that the text of the Penal Code does not preclude criminal liability for an attempt with dolus eventualis. What is more, the analysis of the theoretical discussion of the pro and contra views regarding the criminalisation of an attempt with dolus eventualis allows to conclude that dolus eventualis is compatible with the concept of attempt. Consequently, the author ascertains that there are no formal (dogmatic) reasons to object to the criminal liability for an attempt with dolus eventualis. He indicates that the discussion is of penal-political nature. The author concludes that because of the high dangerousness of the crimes committed with dolus eventualis, it is more politicaly reasonable to qualify such crimes according to the rules that are applied for intentional crimes (and, consequently, punish attempts) than to qualify them similarly to negligent crimes (and leave attempts unpunished).

Furthermore, in order to find out the possible obstacles for the proposal to apply criminal liability for the attempts with dolus eventualis, related norms of the Penal Code as well as the opinions of the researchers of criminal law are analysed. The analysis of Article 22 of the Lithuanian Penal Code shows that the text of the Penal Code does not preclude criminal liability for an attempt with dolus eventualis. What is more, the analysis of the theoretical discussion of the pro and contra views regarding the criminalisation of an attempt with dolus eventualis allows to conclude that dolus eventualis is compatible with the concept of attempt. Consequently, the author ascertains that there are no formal (dogmatic) reasons to object to the criminal liability for an attempt with dolus eventualis. He indicates that the discussion is of penal-political nature. The author concludes that because of the high dangerousness of the crimes committed with dolus eventualis, it is more politicaly reasonable to qualify such crimes according to the rules that are applied for intentional crimes (and, consequently, punish attempts) than to qualify them similarly to negligent crimes (and leave attempts unpunished).

Italian historian Sebastiano Ciampi, has spent 22 years investigating the Italian and Polish communications history. This is the first professional historian, as the Italian witch collected and posted information related to the subject. To inform the public about his findings an to commemorate it in the beggining of XIXth centyry he published fuor books and Tritoma , that are not available to the public and often not even aware of them. And though the author has worked on behalf of the Polish government and sought information about its citizens, but as Lithuanian and Polish history are inseparable, among the collected data there are some news about Lithuania as well. So the main purpose of this research is to look what kind of information about the Lithuania in the XVI-XIX centuries, the author has detected in his studies, and to look what is his contribution to the Northern Italian and Lithuanian history of communication studies. So the work starts with the looking at the author's personality and his life, then it goes to the information, the author has found, about the italians in Lithuania and lithuanians in Italy, with the presentations of the material that S. Ciampi detected, with gives us the opportunity to lead to conclusions of the guests that visited Lithuania, their work in this country and the contibution to the Lithianian art. Later, fifteen letters are discussed. Letters, that were written in diferent periods and are published in these books, that directy or no concerns Lithuania, or lithuanians, that were involved in some events.Finally, different messages and announcements are discussed, and stories relating to the subject. The final section presents conclusions that answers the fundamental question of this work: what is S. Ciampi's contribution to the Northern Italian and Lithuanian history of communication studies- he brought the unknown names of italian artists, doctors in Lituania into the scientific circulation, gave an oppotunity to look, through the published letters, what interested the Italian rulers about our country in different times.