Widening the Scope of Learner Corpus Research

Selected Papers from the Fourth Learner Corpus Research Conference

Since its beginnings in the late 1980s, the  field of Learner Corpus Research (LCR) has been continuously evolving and thereby widening its scope. LCR is rapidly closing gaps within its original scope by expanding on the languages, language mediums (spoken vs written) and learner types covered, and it is turning its attention to... Lire la suite

Since its beginnings in the late 1980s, the  field of Learner Corpus Research (LCR) has been continuously evolving and thereby widening its scope. LCR is rapidly closing gaps within its original scope by expanding on the languages, language mediums (spoken vs written) and learner types covered, and it is turning its attention to ever-emerging new research questions and phenomena which arise at the crossroads with neighboring disciplines. In fact, by embracing e.g. the latest technical developments in Natural Language Processing and Computer Science as well as by adopting state-of-the-art research methodologies used in Corpus Linguistics which include sophisticated statistical methods of data analysis, LCR is dipping into new interdisciplinary subjects with curiosity and expanding its research scope and methodological repertoire.
This volume combines selected research papers from the 4th LCR conference hosted by Eurac Research in Bolzano/Bozen (Italy) in October 2017. All contributions in this volume build on the topics of previous LCR conference volumes, and enrich them with their research. The contributions are arranged thematically and refer to the following  ve LCR topics: (1) analysis of learner data in spoken language, (2) analysis of learner data in corpora of other languages than English, (3) analysis of learner data of young learners, (4) LCR, language learning and pedagogical applications, and (5) LCR and automatic language modeling. The assembled papers introduce innovative research strands, present original data and research findings, and discuss latest desiderata within the five thematic focal points of the book.


PDF (PDF) - En anglais 29,00 €
Livre broché - En anglais 43,50 €
Info Les commandes en ligne se font via notre partenaire i6doc.

Spécifications


Éditeur
Presses universitaires de Louvain
Édité par
Andrea Abel, Aivars Glaznieks, Verena Lyding, Lionel Nicolas,
Collection
Corpora and Language in Use
ISSN
20346417
Langue
anglais
Catégorie (éditeur)
Philosophie, lettres, linguistique et histoire > Langues, liguistique et littératures > anglais
Catégorie (éditeur)
Philosophie, lettres, linguistique et histoire > Langues, liguistique et littératures
BISAC Subject Heading
LAN020000 LANGUAGE ARTS & DISCIPLINES / Study & Teaching
BIC subject category (UK)
E English language teaching (ELT)
Code publique Onix
06 Professionnel et académique > 07 ELT/ESL (apprentissage d'anglais)
CLIL (Version 2013-2019 )
3162 Systèmes de formation et apprentissages : évaluation et modélisation
Date de première publication du titre
24 octobre 2019
Type d'ouvrage
Actes de colloque

Livre broché


Date de publication
24 octobre 2019
ISBN-13
978-2-87558-868-5
Ampleur
Nombre de pages de contenu principal : 478
Dépôt Légal
D/2019/9964/51 Louvain-la-Neuve, Belgique
Code interne
99505
Format
16 x 24 cm
Poids
754 grammes
Type de packaging
Aucun emballage extérieur
Prix
43,50 €
ONIX XML
Version 2.1, Version 3

PDF


Date de publication
24 octobre 2019
ISBN-13
978-2-87558-869-2
Ampleur
Nombre de pages de contenu principal : 478
Dépôt Légal
D/2019/9964/51 Louvain-la-Neuve, Belgique
Code interne
99505PDF
Prix
29,00 €
ONIX XML
Version 2.1, Version 3

Google Livres Aperçu


Publier un commentaire sur cet ouvrage

Si vous avez une question, utilisez plutôt notre formulaire de contact

Sommaire


Introduction: Widening the scope of learner corpus research
Andrea Abel, Aivars Glaznieks, Verena Lyding & Lionel Nicolas
Section 1. Analysis of learner data in spoken language
On the relation between L1 and L2 speech rate
Lucie Jiránková, Tomáš Gráf & Alena Kvítková
Temporal adverbials in the acquisition of past-time reference: A crosssectional study of L1 German and Cantonese learners of English
Sandra Götz, Valentin Werner & Robert Fuchs
Particle placement alternation in EFL learner vs. L1 speech: Assessing the similarity of probabilistic grammars
Magali Paquot, Jason Grafmiller & Benedikt Szmrecsanyi
Section 2. Analysis of learner data in corpora of other languages than English
The development of phraseological errors in Chinese learner Italian: A longitudinal study
Stefania Spina
A corpus-based approach to the usage and acquisition of prepositions by learners of German as a foreign language: Form vs. function
Tassja Weber
On the way to a new multilingual learner corpus of foreign language learning in school: Observations about task variations
Katharina Karges, Thomas Studer & Eva Wiedenkeller
Learning Italian verb + noun collocations through data-driven learning: First insights into the role of semantic transparency
Luciana Forti
Section 3. Analysis of learner data of young learners
Developing a CEFR-based vocabulary inventory for young learners of English: Comparing native-speaker and learner corpus data
Marcus Callies, Veronica Benigno & Nicole Hober
Corpus research on the development of children's writing in L1 English
Philip Durrant & Mark Brenchley
We agreed to disagree: Agreement in L2 English written by young Norwegian learners
Lenka Garshol
Analysis of verb phrases and the progressive aspect in a learner corpus of L2 and L3 learners of English
Eliane Lorenz
Section 4. Learner corpus research, language learning and pedagogical applications
English for tourism: On the use of adjectives in texts written by (EFL) novice writers and by (non-)native professionals
Erik Castello
Using a learner corpus to support online intelligent tutoring: The ALEGRO project
Michael O’Donnell & Penny MacDonald
Novice academic writers’ use of marked themes in the field of didactics
Sylvi Rørvik & Marte Monsen
Intertextuality in pedagogic genres: Identifying genre- and task-related factors in source-based L2 business writing
Christine S. Sing
Section 5. Learner corpus research and automatic language modeling
The most probable translations explain learner choices: EFL learners’ use of prepositions
Noam Ordan, Omaima Abboud & Uliana Zapasnaya
Broad linguistic modeling is beneficial for German L2 proficiency assessment
Zarah Weiss & Detmar Meurers
Working together towards an ideal infrastructure for language learner corpora
Egon W. Stemle, Adriane Boyd, Maarten Janssen, Therese Lindström
Tiedemann, Nives Mikelić Preradović, Alexandr Rosen, Dan Rosén & Elena Volodina