Batch Convert DOCX Files to TXT in Mac OS X
Batch Convert DOCX Files to TXT Format with textutil in Mac OS X here. Source: http://osxdaily.com/
Corpus linguistics, applied linguistics & technology in language education
Batch Convert DOCX Files to TXT Format with textutil in Mac OS X here. Source: http://osxdaily.com/
13th Teaching and Learning Corpora Conference
14th American Association for Corpus Linguistics (AACL) Conference – September 20-22, 2018 in Atlanta, GA CONFERENCE ANNOUNCEMENT The Department of Applied Linguistics and ESL (http://alsl.gsu.edu/) at Georgia State University (GSU) is excited to host the 14th Conference of the American Association for Corpus Linguistics (AACL), 20-22 September 2018 on the GSU main campus in downtown Atlanta, GA. … Read more
From the Corpora List :::::::::::::::::::::::::::: CALL FOR PAPERS We invite submissions of papers to a special issue of the journal ”Language Resources and Evaluation”. The special issue will focus on the use of language technology for digital humanities and will have the title: Language Technology for Digital Humanities. MOTIVATION: The use of digital resources and … Read more
Google’s News Lab launched a new tool for making basic data GIFs today. While the Data GIF Maker is mostly geared toward journalists, anybody can use it to make some halfway interesting visuals based on all kinds of data. From: techcrunch.com Here´s the link: https://datagifmaker.withgoogle.com/edit
Click images for enlarged versions Conservative party manifesto: https://s3.eu-west-2.amazonaws.com/manifesto2017/Manifesto2017.pdf Labour party manifesto: http://www.labour.org.uk/page/-/Images/manifesto-2017/Labour%20Manifesto%202017.pdf Libdem party manifesto: http://d3n8a8pro7vhmx.cloudfront.net/themes/5909d4366ad575794c000000/attachments/original/1495020157/Manifesto-Final.pdf?1495020157 Wordclouds generated with http://www.wordclouds.com/ Read my research on the construction of immigrants in the UK legislation and admin informative texts: Constructing immigrants in UK legislation and Administration informative texts: A corpus-driven study (2007–2011), Discourse & Society, 28,1,81-103