Out now in English for Specific Purposes: my review of "Corpus Linguistics for Education: A Guide for Research" by @perezparedes https://t.co/a4G0Hp5aUq pic.twitter.com/i22Ny5YoxD
— Dr Robbie Love (@lovermob) March 15, 2022
Author: perezparedes
CorpusCast with Dr Robbie Love: corpus linguistics, language edication and research methods
Data-driven learning in informal contexts?
NLP resources: POS tagging
Phil Durrant’s talk available on Youtube
Check out Dr Durrant’s talk “Researching writing development with a corpus” on our research group Youtube Channel https://www.youtube.com/channel/UCKjKIIQL6u1mXD2V9ZaT-_Q
More info on the talk here.
More info on Corpus linguistics and applied linguistics research 2021 site.
From Data to Knowledge – Digital literacy at the service of corpora
By Paulo Martins. University of Mihno, Braga, 11/11/2021 |
Learning a programming language
Coding literacy
Learning a programming language is easier than learning a natural language (?), explore new scientific strategies, automate daily tasks, boost problem solving skills.

NLP and data science

Data: raw, unstructured vs information: structured, organized…useful.

Some tools
Webcrawlers: fetching comments is challenging (javascript and stuff)
Json files Json syntax
YAGO is a knowledge base, i.e., a database with knowledge about the real world. YAGO contains both entities (such as movies, people, cities, countries, etc.) and relations between these entities (who played in which movie, which city is located in which country, etc.). All in all, YAGO contains more than 50 million entities and 2 billion facts.
YAGO arranges its entities into classes: Elvis Presley belongs to the class of people, Paris belongs to the class of cities, and so on. These classes are arranged in a taxonomy: The class of cities is a subclass of the class of populated places, this class is a subclass of geographical locations, etc.
YAGO also defines which relations can hold between which entities: birthPlace, e.g., is a relation that can hold between a person and a place. The definition of these relations, together with the taxonomy is called the ontology.
SPARQL, GraphDB