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		<Text language="eng" textformat="02">&lt;p&gt;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.&lt;br /&gt;
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.&lt;/p&gt;</Text>
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		<Text language="eng" textformat="02">&lt;p&gt;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.&lt;br /&gt;
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.&lt;/p&gt;</Text>
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		<Text language="eng">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...</Text>
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		<Text textformat="02">&lt;p&gt;Introduction: Widening the scope of learner corpus research&lt;br /&gt;
Andrea Abel, Aivars Glaznieks, Verena Lyding &amp; Lionel Nicolas&lt;br /&gt;
Section 1. Analysis of learner data in spoken language&lt;br /&gt;
On the relation between L1 and L2 speech rate&lt;br /&gt;
Lucie Jiránková, Tomáš Gráf &amp; Alena Kvítková&lt;br /&gt;
Temporal adverbials in the acquisition of past-time reference: A crosssectionalstudy of L1 German and Cantonese learners of English&lt;br /&gt;
Sandra Götz, Valentin Werner &amp; Robert Fuchs&lt;br /&gt;
Particle placement alternation in EFL learner vs. L1 speech: Assessingthe similarity of probabilistic grammars&lt;br /&gt;
Magali Paquot, Jason Grafmiller &amp; Benedikt Szmrecsanyi&lt;br /&gt;
Section 2. Analysis of learner data in corpora of other languagesthan English&lt;br /&gt;
The development of phraseological errors in Chinese learner Italian: Alongitudinal study&lt;br /&gt;
Stefania Spina&lt;br /&gt;
A corpus-based approach to the usage and acquisition of prepositions bylearners of German as a foreign language: Form vs. function&lt;br /&gt;
Tassja Weber&lt;br /&gt;
On the way to a new multilingual learner corpus of foreign languagelearning in school: Observations about task variations&lt;br /&gt;
Katharina Karges, Thomas Studer &amp; Eva Wiedenkeller&lt;br /&gt;
Learning Italian verb + noun collocations through data-driven learning:First insights into the role of semantic transparency&lt;br /&gt;
Luciana Forti&lt;br /&gt;
Section 3. Analysis of learner data of young learners&lt;br /&gt;
Developing a CEFR-based vocabulary inventory for young learners ofEnglish: Comparing native-speaker and learner corpus data&lt;br /&gt;
Marcus Callies, Veronica Benigno &amp; Nicole Hober&lt;br /&gt;
Corpus research on the development of children's writing in L1 English&lt;br /&gt;
Philip Durrant &amp; Mark Brenchley&lt;br /&gt;
We agreed to disagree: Agreement in L2 English written by youngNorwegian learners&lt;br /&gt;
Lenka Garshol&lt;br /&gt;
Analysis of verb phrases and the progressive aspect in a learner corpus ofL2 and L3 learners of English&lt;br /&gt;
Eliane Lorenz&lt;br /&gt;
Section 4. Learner corpus research, language learning andpedagogical applications&lt;br /&gt;
English for tourism: On the use of adjectives in texts written by (EFL)novice writers and by (non-)native professionals&lt;br /&gt;
Erik Castello&lt;br /&gt;
Using a learner corpus to support online intelligent tutoring: TheALEGRO project&lt;br /&gt;
Michael O’Donnell &amp; Penny MacDonald&lt;br /&gt;
Novice academic writers’ use of marked themes in the field of didactics&lt;br /&gt;
Sylvi Rørvik &amp; Marte Monsen&lt;br /&gt;
Intertextuality in pedagogic genres: Identifying genre- and task-relatedfactors in source-based L2 business writing&lt;br /&gt;
Christine S. Sing&lt;br /&gt;
Section 5. Learner corpus research and automatic languagemodeling&lt;br /&gt;
The most probable translations explain learner choices: EFL learners’ useof prepositions&lt;br /&gt;
Noam Ordan, Omaima Abboud &amp; Uliana Zapasnaya&lt;br /&gt;
Broad linguistic modeling is beneficial for German L2 proficiency assessment&lt;br /&gt;
Zarah Weiss &amp; Detmar Meurers&lt;br /&gt;
Working together towards an ideal infrastructure for language learnercorpora&lt;br /&gt;
Egon W. Stemle, Adriane Boyd, Maarten Janssen, Therese Lindström&lt;br /&gt;
Tiedemann, Nives Mikelić Preradović, Alexandr Rosen, Dan Rosén &amp;Elena Volodina&lt;/p&gt;</Text>
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		<Text language="fre">Corpora and Language in Use is a series aimed at publishing research monographs and conference proceedings in the area of corpus linguistics and language in use.</Text>
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		<Text language="fre">&lt;p&gt;Corpora and Language in Use is a series aimed at publishing research monographs and conference proceedings in the area of corpus linguistics and language in use. The main focus is on corpus data, but research that compares corpus data to other kinds of empirical data, such as experimental or questionnaire data, is also of interest, as well as studies focusing on the design and use of new methods and tools for processing language texts.&lt;/p&gt;  &lt;p&gt;The series also welcomes volumes that show the relevance of corpus analysis to application fields such as lexicography, language learning and teaching, or natural language processing.&lt;/p&gt;  &lt;p&gt;&lt;/p&gt;  &lt;p&gt;Editorial Board&lt;br /&gt; Kate Beeching (University of the West of England, Bristol)&lt;br /&gt; Douglas Biber (Northern Arizona University)&lt;br /&gt; Mireille Bilger (Université de Perpignan)&lt;br /&gt; Benjamin Fagard (Université Paris 3)&lt;br /&gt; Sylviane Granger (Université catholique de Louvain)&lt;br /&gt; Stefan Th. Gries (University of California, Santa Barbara)&lt;br /&gt; Hilde Hasselgård (University of Oslo)&lt;br /&gt; Philippe Hiligsmann (Université catholique de Louvain)&lt;br /&gt; Diana Lewis (Université de Provence Aix-Marseille I)&lt;br /&gt; Christian Mair (Universität Freiburg)&lt;br /&gt; Fanny Meunier (Université catholique de Louvain)&lt;br /&gt; Rosamund Moon (University of Birmingham)&lt;br /&gt; Maj-Britt Mosegaard Hansen (University of Manchester)&lt;br /&gt; Joanne Neff-van Aertselaer (Universidad Complutense de Madrid)&lt;br /&gt; Marie-Paule Péry-Woodley (Université de Toulouse 2 - Jean Jaurès)&lt;br /&gt; Paul Rayson (Lancaster University)&lt;br /&gt; Ted Sanders (Utrecht University)&lt;br /&gt; Anne Catherine Simon (Université catholique de Louvain)&lt;/p&gt;</Text>
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		<Text language="eng">&lt;p&gt;Corpora and Language in Use is a series aimed at publishing research monographs and conference proceedings in the area of corpus linguistics and language in use. The main focus is on corpus data, but research that compares corpus data to other kinds of empirical data, such as experimental or questionnaire data, is also of interest, as well as studies focusing on the design and use of new methods and tools for processing language texts.&lt;/p&gt;  &lt;p&gt;The series also welcomes volumes that show the relevance of corpus analysis to application fields such as lexicography, language learning and teaching, or natural language processing.&lt;/p&gt;  &lt;p&gt;&lt;/p&gt;  &lt;p&gt;Editorial Board&lt;br /&gt; Kate Beeching (University of the West of England, Bristol)&lt;br /&gt; Douglas Biber (Northern Arizona University)&lt;br /&gt; Mireille Bilger (Université de Perpignan)&lt;br /&gt; Benjamin Fagard (Université Paris 3)&lt;br /&gt; Sylviane Granger (Université catholique de Louvain)&lt;br /&gt; Stefan Th. Gries (University of California, Santa Barbara)&lt;br /&gt; Hilde Hasselgård (University of Oslo)&lt;br /&gt; Philippe Hiligsmann (Université catholique de Louvain)&lt;br /&gt; Diana Lewis (Université de Provence Aix-Marseille I)&lt;br /&gt; Christian Mair (Universität Freiburg)&lt;br /&gt; Fanny Meunier (Université catholique de Louvain)&lt;br /&gt; Rosamund Moon (University of Birmingham)&lt;br /&gt; Maj-Britt Mosegaard Hansen (University of Manchester)&lt;br /&gt; Joanne Neff-van Aertselaer (Universidad Complutense de Madrid)&lt;br /&gt; Marie-Paule Péry-Woodley (Université de Toulouse 2 - Jean Jaurès)&lt;br /&gt; Paul Rayson (Lancaster University)&lt;br /&gt; Ted Sanders (Utrecht University)&lt;br /&gt; Anne Catherine Simon (Université catholique de Louvain)&lt;/p&gt;</Text>
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