@inproceedings{kumar-etal-2020-kmi,
title = "{KMI}-Panlingua-{IITKGP} @{SIGTYP}2020: Exploring rules and hybrid systems for automatic prediction of typological features",
author = "Kumar, Ritesh and
Alok, Deepak and
Bansal, Akanksha and
Lahiri, Bornini and
Ojha, Atul Kr.",
editor = "Vylomova, Ekaterina and
Ponti, Edoardo M. and
Grossman, Eitan and
McCarthy, Arya D. and
Berzak, Yevgeni and
Dubossarsky, Haim and
Vuli{\'c}, Ivan and
Reichart, Roi and
Korhonen, Anna and
Cotterell, Ryan",
booktitle = "Proceedings of the Second Workshop on Computational Research in Linguistic Typology",
month = nov,
year = "2020",
address = "Online",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2020.sigtyp-1.2",
doi = "10.18653/v1/2020.sigtyp-1.2",
pages = "12--16",
abstract = "This paper enumerates SigTyP 2020 Shared Task on the prediction of typological features as performed by the KMI-Panlingua-IITKGP team. The task entailed the prediction of missing values in a particular language, provided, the name of the language family, its genus, location (in terms of latitude and longitude coordinates and name of the country where it is spoken) and a set of feature-value pair are available. As part of fulfillment of the aforementioned task, the team submitted 3 kinds of system - 2 rule-based and one hybrid system. Of these 3, one rule-based system generated the best performance on the test set. All the systems were {`}constrained{'} in the sense that no additional dataset or information, other than those provided by the organisers, was used for developing the systems.",
}
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<abstract>This paper enumerates SigTyP 2020 Shared Task on the prediction of typological features as performed by the KMI-Panlingua-IITKGP team. The task entailed the prediction of missing values in a particular language, provided, the name of the language family, its genus, location (in terms of latitude and longitude coordinates and name of the country where it is spoken) and a set of feature-value pair are available. As part of fulfillment of the aforementioned task, the team submitted 3 kinds of system - 2 rule-based and one hybrid system. Of these 3, one rule-based system generated the best performance on the test set. All the systems were ‘constrained’ in the sense that no additional dataset or information, other than those provided by the organisers, was used for developing the systems.</abstract>
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%0 Conference Proceedings
%T KMI-Panlingua-IITKGP @SIGTYP2020: Exploring rules and hybrid systems for automatic prediction of typological features
%A Kumar, Ritesh
%A Alok, Deepak
%A Bansal, Akanksha
%A Lahiri, Bornini
%A Ojha, Atul Kr.
%Y Vylomova, Ekaterina
%Y Ponti, Edoardo M.
%Y Grossman, Eitan
%Y McCarthy, Arya D.
%Y Berzak, Yevgeni
%Y Dubossarsky, Haim
%Y Vulić, Ivan
%Y Reichart, Roi
%Y Korhonen, Anna
%Y Cotterell, Ryan
%S Proceedings of the Second Workshop on Computational Research in Linguistic Typology
%D 2020
%8 November
%I Association for Computational Linguistics
%C Online
%F kumar-etal-2020-kmi
%X This paper enumerates SigTyP 2020 Shared Task on the prediction of typological features as performed by the KMI-Panlingua-IITKGP team. The task entailed the prediction of missing values in a particular language, provided, the name of the language family, its genus, location (in terms of latitude and longitude coordinates and name of the country where it is spoken) and a set of feature-value pair are available. As part of fulfillment of the aforementioned task, the team submitted 3 kinds of system - 2 rule-based and one hybrid system. Of these 3, one rule-based system generated the best performance on the test set. All the systems were ‘constrained’ in the sense that no additional dataset or information, other than those provided by the organisers, was used for developing the systems.
%R 10.18653/v1/2020.sigtyp-1.2
%U https://aclanthology.org/2020.sigtyp-1.2
%U https://doi.org/10.18653/v1/2020.sigtyp-1.2
%P 12-16
Markdown (Informal)
[KMI-Panlingua-IITKGP @SIGTYP2020: Exploring rules and hybrid systems for automatic prediction of typological features](https://aclanthology.org/2020.sigtyp-1.2) (Kumar et al., SIGTYP 2020)
ACL