Graphic Online Language Diagnostic

 

Graph-Magnifier-icon

The Graphic Online Language Diagnostic (“GOLD”) is a corpus tool that allows language educators to submit and analyze language data. GOLD was developed by the Center for Advanced Language Proficiency Education and Research (“CALPER”) at The Pennsylvania State University (“PSU”), University Park, PA, USA under a grant from the U.S. Department of Education (Title VI, P229A060003 and P229A020010).

Link here: http://gold.gwserver1.net

SACODEYL corpora #corpuslinguistics in The Routledge Handbook of Language Learning and Technology

 

routledgeHandbook

 

Corpus types and uses
B Murphy, E Riordan – The Routledge Handbook of Language Learning and …, 2016
… 2008). Another is the SACODEYL corpus, which includes transcribed interviews with
British, German, French, Italian Spanish, Lithuanian and Romanian adolescents
between 13 and 18 years of age (Hoffstaedter and Kohn 2009). …

The Routledge Handbook of Language Learning and Technology
F Farr, L Murray – 2016
… Page 19. Acronyms OLPC OMC OPUS PC PLE PLN RPG RSS SACODEYL SBCSAE SCMC
SEN SLA SOLE SSI Model TEC TESOL TNC VLE VOICE VSL WiA WoW ZPD one laptop per
child Oslo Multilingual Corpus Open Parallel Corpus personal computer personal learning …

Spoken language corpora and pedagogical applications
A Caines, M McCarthy, A O’Keeffe – The Routledge Handbook of Language Learning …, 2016
… Focusing on an innovative tool developed to make corpus use easier to access for language
teaching, Farr (2010) details the potential of the SACODEYL (System Aided Compilation and
Open Distribution of European Youth Language, a European Commission–funded project …

Written language corpora and pedagogical applications
A Chambers – The Routledge Handbook of Language Learning and …, 2016
… 241–245), based on Mur Dueñas (2009), while the other focuses on intermediate learners of
EAP (pp. 260–263), based on Boulton (2010). Notes 1 http://www. um. es/sacodeyl (accessed
27 June 2014). 2 http://www. um. es/backbone (accessed 27 June 2014). 3 http://www. …

Non-obvious meaning in CL and CADS #cl2015

IMG_20150723_100414

Plenary session: Alan Partington
Non-obvious meaning in CL and CADS: from ‘hindsight post-dictability’ to sweet serendipity

Chair: Amanda Potts

http://www3.lingue.unibo.it/blog/clb/

Introspection & intuition

Processes of inference from the linguistic trace left by speakers/writers

Shared meaning

Idiom principle

Complexity of common grammatical items

Colligation: every word primed to occur in or avoid certain grammatical positions and functions (Hoey, 2005: 13)

SiBol (Siena-Bologna) corpus of newspapers, judicial inquiries, press briefings. Link.

Rapid language change

Corpus methodology is useful in detecting absence, not only presence

Language looks rather different when you look at a lot of it at once (Sinclair 1991)

Qualitative: anaphoric, historic, past behaviour

Quantitative anaphoric and cataphoric; enough data with which to infer

If primed >> psychologically fixed >> reproduced

Evaluation as prototypicality: inner circle obvious, outer circle non-obvious

Prosody can depend on grammar (Louw 1993), pov, literal vs figurative use and on field of register

Embedding is an important factor to interpret prosody

The added value of CL in discourse studies

Looking at language at different levels of abstraction: overview & close reading

Data are not sacred

Much of textual meaning is accretional

Positive cherry-picking: find counter examples

Almost all explanation in DA is informed speculation: in human science this is the closest you get to explanation

Moral panics have evolved over the years (globesity in 2015)

 

 

 

Tono Linguistic feature extraction #cefr #cl2015

Yukio Tono

Linguistic feature extraction and evaluation using machine learning to identify “criterial” grammar constructions for the CEFR levels

IMG_20150722_160026

 

L2 learner profile

English Profile – CEFR for Englsih

Criterial features: Hawkins & Filipovic 2012

CEFR-J RLD Project: aim prepare list of vocabulary and grammar item to be taught and assessed at each CEFR level

CEFR Coursebook Corpus

IMG_20150722_160504

Weka format 3.6.12

158 features

Attribute selection

 

 

 

 

 

 

Language learning theories underpinning corpus-based pedagogy #cl2015

 

IMG_20150722_140248
Lynne Flowerdew
Language learning theories underpinning corpus-based pedagogy

The noticing hypothesis (Schmidt)

Attention consciously drawn

Noticing linked to frequency counts

Implicit vs explicit learning

 Constructivist learning

Learners engage in discovery learning

Inductive learning

Cognitive skills, problem solving to understand new data

Widmann et al. 2011: the more possible starting points for exploitation, the more likely for different learners- SACODEYL project.

Sociocultural theory

What about language learning outside the classroom and incidental learning?