A FLAIR, VIEW of a couple of interesting language learning apps

FLAIR (Form-focused Linguistically Aware Information Retrieval) is a neat search engine that can get web texts filtered through 87 grammar items (e.g. to- infinitives, simple prepositions, copular verbs, auxiliary verbs).

The screenshot below shows results window after a search using the terms “grenfell fire”.

There are 4 areas I have marked A, B ,C and D which attracted my attention the most. There are other features which I will leave for you to explore.

A – Here you can filter the results of your search by CEFR levels. The numbers in faint grey show how many documents there are in this particular search total of 20.

B – Filter by Academic Word List, the first icon to right is to add your own wordlist.

C – The main filter of 87 grammar items. Note that some grammar items are more accurate than others.

D – You can upload you own text for FLAIR to analyze.

Another feature to highlight is that you can use the “site:” command to search within websites, nice. A paper on FLAIR 1 gives the following to try: https://www.gutenberg.org; http://www.timeforkids.com/news; http://www.bbc.co.uk/bitesize; https://newsela.com; http://onestopenglish.com.

The following screenshot shows an article filtered by C1-C2 level, Academic Word List and Phrasal Verbs:

VIEW (Visual Input Enhancement of the Web) is a related tool that learners of English, German, Spanish and Russian can use to highlight web texts for articles, determiners, prepositions, gerunds, noun countability and phrasal verbs (the full set currently available only for English). In addition users can do some activities, such as clicking, multiple-choice and practice (i.e fill in a blank), to identify grammar items. The developers call VIEW an intelligent automatic workbook.

VIEW comes as browser add-on for Firefox, Chrome and Opera as well as a web app. The following screenshot shows the add-on for Firefox menu:

VIEW draws on the ideas of input enhancement as the research rationale behind its approach. 2

References:

1. Chinkina, M., & Meurers, D. (2016). Linguistically aware information retrieval: providing input enrichment for second language learners. In Proceedings of the 11th Workshop on Innovative Use of NLP for Building Educational Applications, San Diego, CA. PDF available [http://anthology.aclweb.org/W/W16/W16-0521.pdf]

 

2. Meurers, D., Ziai, R., Amaral, L., Boyd, A., Dimitrov, A., Metcalf, V., & Ott, N. (2010, June). Enhancing authentic web pages for language learners. In Proceedings of the NAACL HLT 2010 Fifth Workshop on Innovative Use of NLP for Building Educational Applications (pp. 10-18). Association for Computational Linguistics. PDF available [http://www.sfs.uni-tuebingen.de/~dm/papers/meurers-ziai-et-al-10.pdf]
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4 thoughts on “A FLAIR, VIEW of a couple of interesting language learning apps

    1. hi Adi
      thanks for comment; I like FLAIR as well, although the interface takes a bit of fiddling it is a well thought out app; the first reference paper has a helpful table of grammar features which are ranked in descending order of accuracy

  1. Pretty cool–thanks. I’m a fan of Sketch Engine–its advantage (from my point of view) is that you can use it to search a lot of different genres of text separately, ranging from super-formal stuff like EU parliament proceedings to very informal stuff like movie subtitles. the.sketchengine.co.uk

    Do you know of any smartphone apps like this? I use linguee.fr for French, but it doesn’t have any of the sophistication of the kinds of things that you’re describing (or of Sketch Engine).

Penny for your thoughts

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