bibtype |
C -
Conference Paper (international conference)
|
ARLID |
0561726 |
utime |
20230316105605.3 |
mtime |
20221002235959.9 |
title
(primary) (eng) |
Automatic Verb Classifier for Abui (AVC-abz) |
specification |
page_count |
9 s. |
media_type |
P |
|
serial |
ARLID |
cav_un_epca*0561725 |
ISBN |
978-2-493814-07-4 |
title
|
Proceedings of the Workshop on Resources and Technologies for Indigenous, Endangered and Lesser-resourced Languages in Eurasia within the 13th Language Resources and Evaluation Conference |
page_num |
42-50 |
publisher |
place |
Paris |
name |
European Language Resources Association |
year |
2022 |
|
|
keyword |
automatic verb classifier |
keyword |
endangered languages |
keyword |
head-marking languages |
keyword |
Papuan |
author
(primary) |
ARLID |
cav_un_auth*0414315 |
name1 |
Kratochvíl |
name2 |
F. |
country |
CZ |
|
author
|
ARLID |
cav_un_auth*0431676 |
name1 |
Saad |
name2 |
G. |
country |
CZ |
|
author
|
ARLID |
cav_un_auth*0101228 |
name1 |
Vomlel |
name2 |
Jiří |
institution |
UTIA-B |
full_dept (cz) |
Matematická teorie rozhodování |
full_dept |
Department of Decision Making Theory |
department (cz) |
MTR |
department |
MTR |
full_dept |
Department of Decision Making Theory |
fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
author
|
ARLID |
cav_un_auth*0216188 |
name1 |
Kratochvíl |
name2 |
Václav |
institution |
UTIA-B |
full_dept (cz) |
Matematická teorie rozhodování |
full_dept |
Department of Decision Making Theory |
department (cz) |
MTR |
department |
MTR |
full_dept |
Department of Decision Making Theory |
country |
CZ |
fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
source |
|
cas_special |
project |
project_id |
GA20-18407S |
agency |
GA ČR |
ARLID |
cav_un_auth*0397557 |
|
abstract
(eng) |
We present an automatic verb classifier system that identifies inflectional classes in Abui (AVC-abz), a Papuan language of the Timor-Alor-Pantar family. The system combines manually annotated language data (the learning set) with the output of a morphological precision grammar (corpus data). The morphological precision grammar is trained on a fully glossed smaller corpus and applied to a larger corpus. Using the k-means algorithm, the system clusters inflectional classes discovered in the learning set. In the second step, Naive Bayes algorithm assigns the verbs found in the corpus data to the best-fitting cluster. AVC-abz serves to advance and refine the grammatical analysis of Abui as well as to monitor corpus coverage and its gradual improvement. |
action |
ARLID |
cav_un_auth*0437176 |
name |
Workshop on Resources and Technologies for Indigenous, Endangered and Lesser-resourced Languages in Eurasia |
dates |
20220620 |
mrcbC20-s |
20220625 |
place |
Marseille |
country |
FR |
|
RIV |
AI |
FORD0 |
60000 |
FORD1 |
60200 |
FORD2 |
60203 |
reportyear |
2023 |
num_of_auth |
4 |
presentation_type |
PR |
inst_support |
RVO:67985556 |
permalink |
https://hdl.handle.net/11104/0335178 |
cooperation |
ARLID |
cav_un_auth*0304106 |
name |
Univerzita Palackého v Olomouci, Filozofická fakulta |
institution |
FF UP |
country |
CZ |
|
confidential |
S |
arlyear |
2022 |
mrcbU14 |
SCOPUS |
mrcbU24 |
PUBMED |
mrcbU34 |
WOS |
mrcbU63 |
cav_un_epca*0561725 Proceedings of the Workshop on Resources and Technologies for Indigenous, Endangered and Lesser-resourced Languages in Eurasia within the 13th Language Resources and Evaluation Conference European Language Resources Association 2022 Paris 42 50 978-2-493814-07-4 |
|