For Teachers
On the nonlinearity of lesson planning (Part 2)
I previously wrote that when lesson planning, often a great idea comes when we least expect it, such as right…
Author: brendon_albertson
For Teachers
On the Nonlinearity of Lesson Planning (1 of 2)
How much time does it take to plan a lesson? Well, assuming the lesson plan is not just doing what…
For Teachers
Thoughts about vocabulary sort tasks for content-area words
A sorting task is a nice way to have learners work with vocabulary and help acquisition. Working with vocab leads…
For Teachers Research
NLP & CALL: 2 fields that haven’t really merged yet?
NLP = Natural Language Processing CALL = Computer-assisted Language Learning NLP makes chunks to help businesses make money… In another…
For Teachers Materials Research
Automated chunking of text (for learners, not search algorithms)
With natural language processing techniques, text can be tokenized into sentences and words, and these can be “chunked” according to…
For Teachers
Beatboxing codas: a technique for helping pronunciation of Chinese & Vietnamese learners
Check out my Prezi below! Presented at CCSU’s Annual Spring Conference for Language Teachers, 2017
For Teachers Materials Research
Finding the right “chunks” to teach for fluency
“Chunks” are groups of words that commonly occur together, and according to research, are likely processed and recorded in the…
For Students For Teachers Materials
YouGlish + n-grams = Targeted bottom-up listening practice
YouGlish is a great site that allows you to search for YouTube videos by their transcripts rather than only by…
For Teachers
“Explain it to a 5-year-old” – Practicing Tier 3 Vocabulary
Tier 3 words are essentially field-specific terminology. As an example, I’m teaching an ESL breakout course to help students understand…
For Teachers Research
The Untapped Potential of Natural Language Processing in CALL
How tokenizers, part-of-speech taggers, and algorithms can parse sentences for use in language learning apps Natural Language Processing (NLP) is…