@inproceedings{francom-etal-2010-specialized,
title = "How Specialized are Specialized Corpora? Behavioral Evaluation of Corpus Representativeness for {M}altese.",
author = "Francom, Jerid and
LaCross, Amy and
Ussishkin, Adam",
editor = "Calzolari, Nicoletta and
Choukri, Khalid and
Maegaard, Bente and
Mariani, Joseph and
Odijk, Jan and
Piperidis, Stelios and
Rosner, Mike and
Tapias, Daniel",
booktitle = "Proceedings of the Seventh International Conference on Language Resources and Evaluation ({LREC}'10)",
month = may,
year = "2010",
address = "Valletta, Malta",
publisher = "European Language Resources Association (ELRA)",
url = "https://aclanthology.org/L10-1454/",
abstract = "In this paper we bring to light a novel intersection between corpus linguistics and behavioral data that can be employed as an evaluation metric for resources for low-density languages, drawing on well-established psycholinguistic factors. Using the low-density language Maltese as a test case, we highlight the challenges that face researchers developing resources for languages with sparsely available data and identify a key empirical link between corpus and psycholinguistic research as a tool to evaluate corpus resources. Specifically, we compare two robust variables identified in the psycholinguistic literature: word frequency (as measured in a corpus) and word familiarity (as measured in a rating task). We then apply statistical methods to evaluate the extent to which familiarity ratings predict corpus frequency for verbs in the Maltese corpus from three angles: 1) token frequency, 2) frequency distributions and 3) morpho-syntactic type (binyan). This research provides a multidisciplinary approach to corpus development and evaluation, in particular for less-resourced languages that lack a wide access to diverse language data."
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<abstract>In this paper we bring to light a novel intersection between corpus linguistics and behavioral data that can be employed as an evaluation metric for resources for low-density languages, drawing on well-established psycholinguistic factors. Using the low-density language Maltese as a test case, we highlight the challenges that face researchers developing resources for languages with sparsely available data and identify a key empirical link between corpus and psycholinguistic research as a tool to evaluate corpus resources. Specifically, we compare two robust variables identified in the psycholinguistic literature: word frequency (as measured in a corpus) and word familiarity (as measured in a rating task). We then apply statistical methods to evaluate the extent to which familiarity ratings predict corpus frequency for verbs in the Maltese corpus from three angles: 1) token frequency, 2) frequency distributions and 3) morpho-syntactic type (binyan). This research provides a multidisciplinary approach to corpus development and evaluation, in particular for less-resourced languages that lack a wide access to diverse language data.</abstract>
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%0 Conference Proceedings
%T How Specialized are Specialized Corpora? Behavioral Evaluation of Corpus Representativeness for Maltese.
%A Francom, Jerid
%A LaCross, Amy
%A Ussishkin, Adam
%Y Calzolari, Nicoletta
%Y Choukri, Khalid
%Y Maegaard, Bente
%Y Mariani, Joseph
%Y Odijk, Jan
%Y Piperidis, Stelios
%Y Rosner, Mike
%Y Tapias, Daniel
%S Proceedings of the Seventh International Conference on Language Resources and Evaluation (LREC’10)
%D 2010
%8 May
%I European Language Resources Association (ELRA)
%C Valletta, Malta
%F francom-etal-2010-specialized
%X In this paper we bring to light a novel intersection between corpus linguistics and behavioral data that can be employed as an evaluation metric for resources for low-density languages, drawing on well-established psycholinguistic factors. Using the low-density language Maltese as a test case, we highlight the challenges that face researchers developing resources for languages with sparsely available data and identify a key empirical link between corpus and psycholinguistic research as a tool to evaluate corpus resources. Specifically, we compare two robust variables identified in the psycholinguistic literature: word frequency (as measured in a corpus) and word familiarity (as measured in a rating task). We then apply statistical methods to evaluate the extent to which familiarity ratings predict corpus frequency for verbs in the Maltese corpus from three angles: 1) token frequency, 2) frequency distributions and 3) morpho-syntactic type (binyan). This research provides a multidisciplinary approach to corpus development and evaluation, in particular for less-resourced languages that lack a wide access to diverse language data.
%U https://aclanthology.org/L10-1454/
Markdown (Informal)
[How Specialized are Specialized Corpora? Behavioral Evaluation of Corpus Representativeness for Maltese.](https://aclanthology.org/L10-1454/) (Francom et al., LREC 2010)
ACL