The Universal Dependencies Treebank for Slovenian

Dobrovoljc, Kaja; Erjavec, Tomaž; Krek, Simon

doi:10.18653/v1/w17-1406

Cited by 31 publications

(34 citation statements)

References 9 publications

(12 reference statements)

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“…discourse:filler for annotation of hesitation sounds). In subsequent comparison of the SST treebank with the written SSJ Slovenian UD treebank (Dobrovoljc et al, 2017), Dobrovoljc and Nivre (2016) observed several syntactic differences between the two modalities, as also illustrated in Figure 1.…”

Section: Spoken Slovenian Treebankmentioning

confidence: 85%

“…The Spoken Slovenian Treebank (Dobrovoljc and Nivre, 2016), which was first released as part of UD v1.3 (under the CC-BY-NC-SA 4.0 licence), is the first syntactically annotated collection of spontaneous speech in Slovenian. It is a sample of the Gos reference corpus of Spoken Slovenian (Zwitter Vitez et al, 2013), a collection of transcribed audio recordings of spontaneous speech in different everyday situations, in both public (TV and radio shows, school lessons, academic lectures etc.)…”

Section: Spoken Slovenian Treebankmentioning

confidence: 99%

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Er ... well, it matters, right? On the role of data representations in spoken language dependency parsing

Dobrovoljc

Martinc

2018

Proceedings of the Second Workshop on Universal Dependencies (UDW 2018)

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Despite the significant improvement of datadriven dependency parsing systems in recent years, they still achieve a considerably lower performance in parsing spoken language data in comparison to written data. On the example of Spoken Slovenian Treebank, the first spoken data treebank using the UD annotation scheme, we investigate which speechspecific phenomena undermine parsing performance, through a series of training data and treebank modification experiments using two distinct state-of-the-art parsing systems. Our results show that utterance segmentation is the most prominent cause of low parsing performance, both in parsing raw and pre-segmented transcriptions. In addition to shorter utterances, both parsers perform better on normalized transcriptions including basic markers of prosody and excluding disfluencies, discourse markers and fillers. On the other hand, the effects of written training data addition and speech-specific dependency representations largely depend on the parsing system selected.

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Section: Spoken Slovenian Treebankmentioning

confidence: 85%

Section: Spoken Slovenian Treebankmentioning

confidence: 99%

Er ... well, it matters, right? On the role of data representations in spoken language dependency parsing

Dobrovoljc

Martinc

2018

Proceedings of the Second Workshop on Universal Dependencies (UDW 2018)

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“…The UD policy for such cases is connecting them to the main clause with a parataxis tag. Some of the UD spoken treebanks (Dobrovoljc and Nivre, 2016;Gerdes and Kahane, 2017; keep the discourse information via the subtype parataxis:discourse. We follow their approach and employ the same tag as exemplified in 10…”

Section: Issues Related To Spoken Languagementioning

confidence: 99%

Proceedings of the 18th International Workshop on Treebanks and Linguistic Theories (TLT, SyntaxFest 2019)

2019

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The 18th edition of the International Workshop on Treebanks and Linguistics (TLT) follows an annual series that started in 2002, in Sozopol, Bulgaria. TLT addresses all aspects of treebank design, development, and use, "treebank" taken in a broad sense of any spoken or written data augmented with computationally processable annotations of linguistic structure at various levels. This year's edition is special as TLT is part of the first SyntaxFest, a grouping of four events, which took place in Paris, France, during the last week of August:

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“…However, due to numerous differences between the two systems of annotation, especially on the level of syntactic description, a complex system of conversion rules was additionally created. 4…”

Section: Part-of-speech Tagging and Lemmatizationmentioning

confidence: 99%

Levels of Annotation in the Slovene Training Corpus ssj500k 2.2

Bon

Gantar

2019

Journal of Linguistics/Jazykovedný Casopis

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This paper presents the Slovene Training Corpus ssj500k 2.2, which has been annotated on the levels of tokenization, sentence segmentation, part-of-speech tagging, lemmatization, syntactic dependencies, named entities, verbal multi-word expressions, and semantic role labeling. It describes the individual layers of annotation and shows the scope of using the training corpus in the production of various lexicons, such as the lexicon of multi-word units and the valency lexicon of modern Slovene. It concludes by presenting our future work, i.e. the annotation of multi-word expressions based on the Slovene Lexical Database.

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The Universal Dependencies Treebank for Slovenian

Cited by 31 publications

References 9 publications

Er ... well, it matters, right? On the role of data representations in spoken language dependency parsing

Er ... well, it matters, right? On the role of data representations in spoken language dependency parsing

Proceedings of the 18th International Workshop on Treebanks and Linguistic Theories (TLT, SyntaxFest 2019)

Levels of Annotation in the Slovene Training Corpus ssj500k 2.2

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