Found an issue? Give us feedback

ZENODOarrow_drop_down

ZENODO

Dataset . 2017

License: http://creativecommons.org/licenses/by/4.0/legalcode

Data sources: ZENODO

Select content type to embed

All Research products

arrow_drop_down

<script type="text/javascript">
<!--
document.write('<div id="oa_widget"></div>');
document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=undefined&type=result"></script>');
-->
</script>

COPY SCRIPT

For further information contact us at helpdesk@openaire.eu

Claim

A part-of-speech (POS) lexicon of Classical Tibetan for NLP

Name: A part-of-speech (POS) lexicon of Classical Tibetan for NLP
Keywords: Natural language processing, Tibetan language, part-of-speech tagging

Research datakeyboard_double_arrow_right Dataset 11 May 2017Zenodo ARC | Robust speech recognition...

Authors: Hill, Nathan W.; Garrett, Edward;

doi: 10.5281/zenodo.574876

A part-of-speech (POS) lexicon of Classical Tibetan for NLP

- Summary
- Subjects
- Metrics

Abstract

This part-of-speech (POS) lexicon of Classical Tibetan was prepared in the course of the research project 'Tibetan in Digital Communication' (2012-2015) hosted at SOAS, University of London and funded by the UK's Arts and Humanities Research Council (grant code: AH/J00152X/1). The data for verbs comes from a digitized version of A Lexicon of Tibetan Verb Stems as Reported by the Grammatical Tradition (Munich: Bayerische Akademie der Wissenschaften, 2010) by Nathan W. Hill. Otherwise data comes from the manually part-of-speech tagged training data produced by the corpus and a few lexical items specifically added by hand to improve rule based tagging.

Keywords

Natural language processing, Tibetan language, part-of-speech tagging

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	1
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average

Usage byUsageCounts

visibility	views	380
download	downloads	106

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	1
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average