UD_North_Sami-Giella
Treebank card from UD release 2.18: metadata and texts come from UD_North_Sami-Giella/README.md; size is counted by streaming the .conllu files and checked against the release stats.xml. Generated by tools/treebanks build; do not edit by hand. Papers: Papers: UD_North_Sami-Giella; seeds: seeds/; converter: convert.md.
| Field | Value |
|---|---|
| UD name | UD_North_Sami-Giella |
| Language | North Sami (sme) |
| Family | Uralic |
| Treebank code | sme_giella |
| UD page | universaldependencies.org/treebanks/sme giella/index.html |
| License | CC BY-SA 4.0 |
| Genres | nonfiction, news |
| Text in data | yes |
| Parallel | no |
| In UD since | UD v2.1 |
| Authors | Trond Trosterud; Lene Antonsen; Francis Tyers |
| Contact | ftyers@prompsit.com |
| Development | outside the UD repo (elsewhere): fixes go to the source or the converter |
Annotation layers
| Layer | Origin |
|---|---|
| Lemmas | converted from manual |
| UPOS | converted from manual |
| XPOS | manual native |
| Features | converted from manual |
| Relations | converted from manual |
UD scale: manual native — annotated by hand directly in UD; converted from manual — converted from manual annotation in another scheme; converted with corrections — converted and partly corrected by hand; automatic with corrections — automatic, with partial manual corrections; automatic — automatic; not available — the layer is absent.
Size
| Split | Sentences | Tokens | Words | Multiword tokens | Empty nodes |
|---|---|---|---|---|---|
| train | 2 257 | 16 835 | 16 835 | 0 | 0 |
| test | 865 | 10 010 | 10 010 | 0 | 0 |
| total | 3 122 | 26 845 | 26 845 | 0 | 0 |
Tokens are surface tokens (Spanish vámonos is one), words are syntactic words (vamos + nos); multiword tokens are those split into several words; empty nodes are the N.M nodes of the enhanced graph. Splits dev are absent from the release.
Summary
This is a North Sámi treebank based on a manually disambiguated and function-labelled gold-standard corpus of North Sámi produced by the Giellatekno team at UiT Norgga árktalaš universitehta.
Introduction
The corpus was first analysed using a finite-state morphological analyser for North Sámi, and then disambiguated using a constraint-grammar-based disambiguator. The constraint grammar disambiguator also annotated syntactic function labels. The analyses and the function labels were manually corrected to produce a gold standard, and then a rule-based dependency parser was run on top of the gold data. On top of those parsers a series of tree-rewrite rules were used to convert the corpus to Universal Dependencies. Please see the paper below for details.
This page in Markdown → https://md.mova.elamur.ai/free/en/docs/treebanks/sme/giella/