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514
result(s) for
"Corpora (Linguistics) Data processing."
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Diachronic Treebanks for Historical Linguistics
by
Luraghi, Silvia
,
Eckhoff, Hanne Martine
,
Passarotti, Marco
in
Computational & corpus linguistics
,
Computational linguistics -- Methodology
,
Corpora (Linguistics) -- Data processing
2020
Diachronic treebanks allow for a new approach to diachronic studies of syntactic phenomena. These papers report research on various diachronic matters supported such by evidence, covering a wide range of languages, including English, French, Russian, Latin and Ancient Greek. Originally published as Diachronica 35:3 (2018).
Beyond concordance lines : corpora in language education
by
Pérez-Paredes, Pascual
,
Mark, Geraldine
in
Applied linguistics
,
Computational & corpus linguistics
,
Computational linguistics
2021
In over 30 years of data-driven learning (DDL) research, there has been a growing sophistication in the ways we collect, analyse and put data to use. This volume takes a three-fold perspective on DDL.
Corpus-based studies of lesser-described languages : the CorpAfroAs corpus of spoken AfroAsiatic languages
by
Mettouchi, Amina
,
Caubet, Dominique
,
Vanhove, Martine
in
Afro-Asiatic languages
,
Afroasiatic languages
,
Afroasiatic languages -- Grammar -- Data processing
2015
For a long time, Toolbox has been the most used software dedicated to text annotation in the community of field linguists, especially for African linguistics. However, its limitations, and the growing need to pair text and sound, have made it important to find another solution to text annotation. This paper, aimed at a readership of information technology specialists, is a presentation of the software development conducted within the CorpAfroAs project on the basis of the software ELAN, developed by the Max Planck Institute in Nijmegen. This development, whose result is the ELAN-CorpA software, involves the addition of an internal parser linked to a lexicon, for semi-automatic interlinearization purposes.
Data-driven learning for the next generation : corpora and DDL for pre-tertiary learners
\"Despite advancements in and availability of corpus software in language classrooms facilitating data-driven learning (DDL), the use of such methods with pre-tertiary learners remains rare. This book explores the affordances of DDL specifically for younger learners, testing its viability with teachers and students at the primary and secondary years of schooling. It features eminent and up-and-coming researchers from Europe, Asia, and Australasia who seek to address best practice in implementing DDL with younger learners, while providing a wealth of empirical findings and practical DDL activities ready for use in the pre-tertiary classroom. Divided into three parts, the volume's first section focuses on overcoming emerging challenges for DDL with younger learners, including where and how DDL can be integrated into pre-tertiary curricula, as well as potential barriers to this integration. It then considers new, cutting-edge innovations in corpora and corpus software for use with younger learners in the second section, before reporting on actual DDL studies performed with younger learners (and their teachers) at the primary and secondary levels of education. This book will appeal to post-graduate students, academics and researchers with interests in corpus linguistics, second language acquisition, primary and secondary literacy education, and language and educational technologies\"-- Provided by publisher.
Cluster Analysis for Corpus Linguistics
by
Moisl, Hermann
in
Cluster analysis
,
Cluster analysis -- Data processing
,
Computational linguistics
2015
The series Quantitative Linguistics publishes books on all aspects of quantitative methods and models in linguistics, text analysis and related research fields. Specifically, the scope of the series covers the whole spectrum of theoretical and empirical research, ultimately striving for an exact mathematical formulation and empirical testing of hypotheses: observation and description of linguistic data, application of methods and models, discussion of methodological and epistemological issues, modelling of language and text phenomena.