Analysis of French Initial Supplementive Clauses and Their Translations into Slovene in Jules Verne\u27s Le tour du monde en quatre-vingt jours

V magistrskem delu smo analizirali polstavke iz francoskega romana Julesa Verna Le tour du monde en quatre-vingt jours in njihove prevedke iz dveh prevodov v slovenščino. Cilj raziskave je bil preučiti francoske glagolske (takšne, ki imajo v jedru gerundij, sedanji deležnik, pretekli deležnik ali predložni nedoločnik) in brezglagolske (katerih jedro sta pridevniška ali samostalniška besedna zveza) polstavke na začetku povedi, pri čemer smo poskušali ugotoviti, ali so jih prevajalci v slovenščini ohranili, za katere prevajalske strategije so se najpogosteje odločali in na katere težave so ob tem naleteli. Ker so polstavki semantično neprosojne in skladenjsko reducirane strukture, smo raziskali tudi, kako pogosto so jih ob prevajanju v slovenščino prevajalci skladenjsko eksplicirali in interpretirali semantično razmerje med izhodiščnim polstavkom in glavnim stavkom. Ugotovili smo, da je raven semantično-skladenjske eksplicitacije precej visoka in da so se prevajalci v splošnem odločali za prevod polstavka z osebno glagolsko obliko v različnih stavčnih strukturah (najpogosteje v podrednem in prirednem stavku). Prevajalci so v prevodu ohranili tudi nekaj polstavkov, ki smo jih podrobneje analizirali in pri tem poskušali opisati prevajalski slog prevajalcev. Na koncu smo predstavili še nekaj posebnosti prevajanja polstavčnih struktur in izsledke raziskave primerjali z že obstoječimi. Z ugotovitvami iz analize smo na tem področju, ki je bilo do nedavnega precej slabo preučeno, poskusili prispevati k boljši definiciji slovenskih polstavkov in njihovih lastnosti, kar bo koristilo tako prevajalcem kot uporabnikom slovenščine nasploh.In this master\u27s thesis, we analysed supplementive clauses collected from Jules Verne’s Le tour du monde en quatre-vingt jours and their translations into Slovene, found in two translated novels. The goal of the study was to examine French initial verb-based (having as a base a gerund, a present participle, a past participle, or a prepositional infinitive) as well as verbless (having as a base an adjective or a noun) clauses, while also determining whether translators preserved these structures in Slovene, which translation strategies they opted for most commonly, and what problems they encountered. As supplementive clauses are semantically opaque and syntactically reduced, we also studied how often translators decided to make explicit their syntax and interpret the semantic relationship between source supplementive clauses and their main clause. We determined that the level of semantic and syntactic explicitation is considerably high and that translators usually translated supplementive clauses using finite verbs in different sentence structures (subordinate and coordinate clauses were the most common). Nevertheless, translators did preserve some supplementive clauses, which were analysed in detail – in doing so, we tried to describe their translation style. Finally, we presented some particularities regarding the translation of supplementive clauses and compared the findings of our research with results of existing studies. By drawing these conclusions in the field that had been, until recently, poorly studied, we tried to contribute to the efforts to define Slovene supplementive clauses and their characteristics, which both translators and Slovene users in general could benefit from

Tweet comma corpus Janes-Vejica 1.0

Janes-Vejica is a corpus of Slovene tweets where commas are annotated with the reason for their (in)correct use, according to the supplied typology. The corpus was sampled from the Janes-Norm corpus (http://hdl.handle.net/11356/1084), which was manually annotated for tokenisation, sentence segmentation, and word normalisation, and automatically for morphosyntactic descriptions and lemmas. The corpus is further described in: POPIČ, Damjan, FIŠER, Darja, ZUPAN, Katja, LOGAR, Polona. Raba vejice v uporabniških spletnih vsebinah. Proceedings of the Conference on Language Technologies & Digital Humanities, Ljubljana, Slovenia. 2016, pp. 149-153. http://www.sdjt.si/wp/dogodki/konference/jtdh-2016/zbornik

Training corpus ssj500k 2.2

The ssj500k training corpus contains about 500,000 tokens manually annotated on the levels of tokenisation, sentence segmentation, morphosyntactic tagging, and lemmatisation. About half of the corpus is also manually annotated with syntactic dependencies, named entities, and verbal multiword expressions. About a quarter of the corpus is annotated with semantic role labels. The morphosyntactic tags and syntactic dependencies are included both in the JOS/MULTEXT-East framework, as well as in the framework of Universal Dependencies. The annotations of the ssj500k corpus follow (1) the MULTEXT-East V6 morphosyntactic specifications for Slovene, http://nl.ijs.si/ME/V6/msd/, (2) the JOS dependency schema, http://nl.ijs.si/jos/bib/jos-skladnja-navodila.pdf, the Universal Dependencies morphosyntactic specifications and syntactic dependencies for Slovene-SSJ, https://universaldependencies.org/, (4) the Janes annotation guidelines for Slovenian named entities, http://nl.ijs.si/janes/wp-content/uploads/2017/09/SlovenianNER-eng-v1.1.pdf, and (5) the Guidelines of the PARSEME shared task on verbal multiword expressions, http://parsemefr.lif.univ-mrs.fr/parseme-st-guidelines/1.1/ The vocabulary of (1) and (2) is provided in the back element and (3), (4), and (5) in the teiHeader of the TEI encoded corpus. The semantic role labels are also documented in the teiHeader. In contrast to the previous version 2.1, this version corrects various errata in spacing and text metadata and adds UD morphological and (where it was possible to do so automatically) dependency annotations to the corpus. Note that the UD annotations are not included in the vertical file

Training corpus ssj500k 2.1

The ssj500k training corpus contains about 500,000 tokens manually annotated on the levels of tokenisation, sentence segmentation, morphosyntactic tagging, and lemmatisation. About half of the corpus is also manually annotated with syntactic dependencies, named entities, and verbal multiword expressions. About a quarter of the corpus is annotated with semantic role labels. The annotations of the ssj500k corpus follow (1) the MULTEXT-East V5 morphosyntactic specifications for Slovene, http://nl.ijs.si/ME/V5/msd/, (2) the JOS dependency schema, http://nl.ijs.si/jos/bib/jos-skladnja-navodila.pdf, (3) the Janes annotation guidelines for Slovenian named entities, http://nl.ijs.si/janes/wp-content/uploads/2017/09/SlovenianNER-eng-v1.1.pdf, and (4) the Guidelines of the PARSEME shared task on verbal multiword expressions, http://parsemefr.lif.univ-mrs.fr/parseme-st-guidelines/1.1/ The vocabulary of (1) and (2) is provided in the back element and (3) and (4) in the teiHeader of the TEI encoded corpus. The semantic role labels are also documented in the teiHeader

Training corpus ssj500k 2.3

The ssj500k training corpus contains about 500,000 tokens manually annotated on the levels of tokenisation, sentence segmentation, morphosyntactic tagging, and lemmatisation. About half of the corpus is also manually annotated with syntactic dependencies, named entities, and verbal multiword expressions. About a quarter of the corpus is also annotated with semantic role labels. The morphosyntactic tags and syntactic dependencies are included both in the JOS/MULTEXT-East framework, as well as in the framework of Universal Dependencies. The annotations of the ssj500k corpus follow (1) the MULTEXT-East V6 morphosyntactic specifications for Slovene, http://nl.ijs.si/ME/V6/msd/, (2) the JOS dependency schema, http://nl.ijs.si/jos/bib/jos-skladnja-navodila.pdf, the Universal Dependencies morphosyntactic specifications and syntactic dependencies for Slovene-SSJ, https://universaldependencies.org/, (4) the Janes annotation guidelines for Slovenian named entities, http://nl.ijs.si/janes/wp-content/uploads/2017/09/SlovenianNER-eng-v1.1.pdf, and (5) the Guidelines of the PARSEME shared task on verbal multiword expressions, http://parsemefr.lif.univ-mrs.fr/parseme-st-guidelines/1.1/ The vocabulary of (1) and (2) is provided in the back element and (3), (4), and (5) in the teiHeader of the TEI encoded corpus. The semantic role labels are also documented in the teiHeader. In contrast to the previous version 2.2, this version includes the corrected Universal Dependencies relations from UD version 2.8, updates the TEI encoding and adds UD annotations to the vertical file

Training corpus SUK 1.0

The SUK training corpus contains about 1 million tokens manually annotated on the levels of tokenisation, sentence segmentation, morphosyntactic tagging, and lemmatisation, with some parts also containing further manually verified annotations. The morphosyntactic tags and (where present) syntactic dependencies are included both in the JOS/MULTEXT-East framework, as well as in the framework of Universal Dependencies. The corpus is composed of several parts: * ssj500k-syn (200,320 words): the syntactically annotated part of the updated ssj500k corpus 2.3 (http://hdl.handle.net/11356/1434), contains also named entity, verbal multiword expression and semantic role label annotations; * ssj500k-tag.xml (299,927 words): the PoS tagged part of the updated ssj500k corpus 2.3 (http://hdl.handle.net/11356/1434), contains also verbal multiword expressions annotations; * Ambiga (13,929 words): this corpus has been constructed to contain many potentially lemma/PoS ambiguous words in order to help in the training of taggers and lemmatizers * ElexisWSD (27,091 words): the Slovenian part of the "Parallel sense-annotated corpus ELEXIS-WSD 1.0" (http://hdl.handle.net/11356/1674) with manually checked lemmatisation, PoS tagging, and syntactic parses; contains also named entity and semantic role label annotations; * SentiCoref (340,401 words): the "Slovene corpus for aspect-based sentiment analysis - SentiCoref 1.0" (http://hdl.handle.net/11356/1285) with manually checked lemmatisation and PoS tagging; contains also named entity and coreference chain annotation. The annotations follow: (1) the MULTEXT-East V6 morphosyntactic specifications for Slovene, https://nl.ijs.si/ME/V6/msd/, (2) the JOS dependency schema, https://nl.ijs.si/jos/bib/jos-skladnja-navodila.pdf, (3) the Universal Dependencies morphosyntactic specifications and syntactic dependencies for Slovene-SSJ, https://universaldependencies.org/, (4) the Janes annotation guidelines for Slovenian named entities, https://nl.ijs.si/janes/wp-content/uploads/2017/09/SlovenianNER-eng-v1.1.pdf, (5) the Guidelines of the PARSEME shared task on verbal multiword expressions, http://parsemefr.lif.univ-mrs.fr/parseme-st-guidelines/1.1/. The vocabulary of (1) is provided in the back element and (3)-(5) as taxonomies in the teiHeader of the TEI encoded corpus. The semantic role labels are also documented in the teiHeader. In contrast to the previous version ssj500k 2.3, this version has significantly more text, corrects various errors in annotation, annotates more text with syntactic parses, adds new types of annotation, updates the TEI encoding, provides CoNLL-U files with text metadata and distinguishes UD-type CoNLL-U files from JOS-type CoNLL-U files

Annotated corpora and tools of the PARSEME Shared Task on Automatic Identification of Verbal Multiword Expressions (edition 1.1)

This multilingual resource contains corpora in which verbal MWEs have been manually annotated. VMWEs include idioms (let the cat out of the bag), light-verb constructions (make a decision), verb-particle constructions (give up), inherently reflexive verbs (help oneself), and multi-verb constructions (make do). VMWEs were annotated according to the universal guidelines in 19 languages. The corpora are provided in the cupt format, inspired by the CONLL-U format. The corpora were used in the 1.1 edition of the PARSEME Shared Task (2018). For most languages, morphological and syntactic information ­­­­– not necessarily using UD tagsets – including parts of speech, lemmas, morphological features and/or syntactic dependencies are also provided. Depending on the language, the information comes from treebanks (e.g., Universal Dependencies) or from automatic parsers trained on treebanks (e.g., UDPipe). This item contains training, development and test data, as well as the evaluation tools used in the PARSEME Shared Task 1.1 (2018). The annotation guidelines are available online: http://parsemefr.lif.univ-mrs.fr/parseme-st-guidelines/1.

Annotated corpora and tools of the PARSEME Shared Task on Automatic Identification of Verbal Multiword Expressions (edition 1.1)

This multilingual resource contains corpora in which verbal MWEs have been manually annotated. VMWEs include idioms (let the cat out of the bag), light-verb constructions (make a decision), verb-particle constructions (give up), inherently reflexive verbs (help oneself), and multi-verb constructions (make do). VMWEs were annotated according to the universal guidelines in 19 languages. The corpora are provided in the cupt format, inspired by the CONLL-U format. The corpora were used in the 1.1 edition of the PARSEME Shared Task (2018). For most languages, morphological and syntactic information ­­­­– not necessarily using UD tagsets – including parts of speech, lemmas, morphological features and/or syntactic dependencies are also provided. Depending on the language, the information comes from treebanks (e.g., Universal Dependencies) or from automatic parsers trained on treebanks (e.g., UDPipe). This item contains training, development and test data, as well as the evaluation tools used in the PARSEME Shared Task 1.1 (2018). The annotation guidelines are available online: http://parsemefr.lif.univ-mrs.fr/parseme-st-guidelines/1.