SCELTSE: the Small Corpus of English Language Teachers’ Self-Evaluations

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)