This data is a manual annotation of the corpus from multimedia annotated corpus of the Chuklang project, a dialectal corpus of the Amguema variant of Chukchi.
The corpus contains spoken Chukchi in the Amguema variant. Chukchi is a polysynthetic language spoken in the Chukotka Autonomous Okrug in the north-east of Siberia.
This work is entirely based on the glossed corpus developed by the Chuklang project. They have their own acknowledgements here.
If you use this in your work, please cite:
- Tyers, F. M. and Mishchenkova, K. (2020) "Dependency annotation of noun incorporation in polysynthetic languages". Proceedings of the Fourth Workshop on Universal Dependencies (UDW 2020). pp. 195—204
@inproceedings{tyers:20,
author = {Francis M. Tyers and Karina Mishchenkova},
title = {Dependency annotation of noun incorporation in polysynthetic languages},
booktitle = {Proceedings of the Fourth Workshop on Universal Dependencies (UDW 2020)},
pages = {195--204},
year = 2020
}
The original texts were transcribed from recordings using a Latin-based transcription system and glosses. The system of glosses is largely described in the document Глоссы Экспедицинного Проекта Чукотка—2016.
The transcriptions have been converted to Chukchi orthography automatically using a convertor developed by Vasilisa Adriyanets. There may be errors in the automatic conversion. Particularly the treatment of Russian loan words and proper nouns, the character s, and the glottal stop.
Each sentence has the following information:
sent_id: This indicates the file and the sentence number. The filename is equivalent to the name from the Chuklang site.text: The text in the Chukchi orthography. This is automatically generated from the phonemic transcription and partially manually corrected. See Orthography notes above.text[phon]: A phonemic transcription. Words in Cyrillic in here are either false starts or sequences of loan words.text[rus]: A free translation of the sentence in Russian.text[eng]: A free translation of the sentence in English.labels: A set of labels indicating some metadata about the sentence, may include the annotator name, if the sentence is complete, or just has dependencies, or if there is something unclear in the syntax.
In addition, some sentences have extra information
timestamp: The offset of the.wavfile inhh:mm:ssformat where the sentence starts.comment: A comment from the transcriber, usually in Russian.text[eng']: A secondary, more literal translation in English of the structure that the sentence is believed to have.
Tokens in the corpus are defined as sequences of non-whitespace or punctuation characters separated by whitespace.
Underneath tokens are syntactic words. These are words which take part in dependency relations.
A single token may be split into more than one word based on the following criteria:
- Emphatic clitics are split (notably -ъм and -а)
- In non-absolutive noun phrases, attributive modifiers (nouns, adjectives and numerals) which have been incorporated are split. The splits are based on the provided gloss.
Incorporation into lexical verbs does not involve splitting in the basic representation, sentences are annotated according to their surface syntax, e.g. a verb with an incorporated object is annotated as intransitive following its agreement morphology.
In the enhanced representation, the argument structure is recovered, incorporated items are given nodes.
- 2022-05-15 v2.10
- Added enhanced graphs also for sentences that do not have empty nodes.
- 2021-05-15 v2.8
- Undocumented parataxis:speech changed to parataxis:rep as in other languages.
- 2020-11-15 v2.7
- Initial release in Universal Dependencies.
=== Machine-readable metadata (DO NOT REMOVE!) ================================ Data available since: UD v2.7 License: CC BY-SA 4.0 Includes text: yes Genre: spoken Lemmas: not available UPOS: converted with corrections XPOS: not available Features: not available Relations: manual native Contributors: Tyers, Francis; Mischenkova, Karina Contributing: elsewhere Contact: [email protected] ===============================================================================