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Localized Globalization: Directives in Augmented Reality Game Interaction
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In: Applied Linguistics Faculty Publications and Presentations (2021)
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42 |
How Indigenous-Language Court Interpreters and Clients Navigate the U.S. Court System Under Strict Court-Interpreting Guidelines
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In: University Honors Theses (2021)
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43 |
Sources of Individual Differences in Adults’ ICT Skills: A Large-Scale Empirical Test of a New Guiding Framework
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In: Applied Linguistics Faculty Publications and Presentations (2021)
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44 |
Linguistic Discrimination in Higher Education in Vietnam
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In: University Honors Theses (2021)
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45 |
Changing Practices for Connected Discourse: Starting and Developing Topics in Conversation
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In: Applied Linguistics Faculty Publications and Presentations (2021)
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46 |
Collaborative Digital Problem-Solving: Power, Relationships, and Participation
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In: Applied Linguistics Faculty Publications and Presentations (2021)
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47 |
When a Bug is Not a Bug: an Introduction to the Computer Science Academic Vocabulary List
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In: Applied Linguistics Faculty Publications and Presentations (2021)
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49 |
Spatial Language Use Predicts Spatial Memory of Children: Evidence from Sign, Speech, and Speech-plus-gesture ...
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51 |
Can Children use Numerical Reasoning to Compare Odds in Games? ...
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Can Children use Numerical Reasoning to Compare Odds in Games? ...
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54 |
Inductively Representing Out-of-Knowledge-Graph Entities by Optimal Estimation Under Translational Assumptions ...
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56 |
Embodying Technology in ESL Contexts as a Knowledge Acquisition Means for Academic, Professional, and Everyday Needs: A Practical Solution
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In: Creative Components (2021)
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SCELTSE: the Small Corpus of English Language Teachers’ Self-Evaluations ...
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Abstract:
SCELTSE (the Small Corpus of English Language Teachers’ Self-Evaluations) can be classified as a small specialized monolingual corpus. It is made up of 44 post-teaching self-evaluations written by L1-English English as a Second Language (ESL) teachers. The corpus comprises 25,423 tokens, 2,456 word types, and 2,128 lemmas in total. The corpus is balanced for gender. The texts in the corpus were written by 22 female and 22 male ESL teachers between the ages of 24 and 39. The data presented here includes: 1. The corpus of 44 unannotated plain texts (.txt) 2. The corpus of 44 (POS) annotated plain texts (.txt) 3. The corpus metadata (.xls) 4. Statistical data and categorisation of top 100 key nouns (.xls) 5. Statistical data and categorisation of top 100 key ngrams (.xls) ...
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Keyword:
Applied Linguistics; Corpus Linguistics; Discourse Analysis; TESOL Curriculum
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URL: https://dx.doi.org/10.17632/f7wwg384rp https://data.mendeley.com/datasets/f7wwg384rp
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58 |
SCELTSE: the Small Corpus of English Language Teachers’ Self-Evaluations ...
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60 |
Learning multiple syntactic structures via chat-based alignment: What is the role of learners' prior knowledge and conscious decisions? ...
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