Help Page

The LRE Map is intended to monitor the use and creation of language resources (datasets, tools, etc.) through the collection of information on both existing resources that were used for research in NLP and on new resources that are created.

This beta version implements basic search functionalities about languages, availability, usages, modality, maturity of resources.

Other functionalities are not yet implemented (Account, Tools, etc.).




If you are interested in a specific resource that you already know by name, you can type the name in the window "Resource Name".





WARNING: as a result of your search, you can see the same resource displayed more than once because different authors have inserted different information about this resource. 


By clicking on the buttons on the top of the page, you can select the type of search you want to perform. This will open a drop-bar menu containing only the values for the different search parameters. Clicking on more than one button will allow you to perform more complex searches.




Here a few examples: 


- if you want to know which resources are freely available for Russian, you have to click on the buttons "Resource Availability" and "Resource Languages" and then select the values "Freely Available" and "Russian" respectively in the drop lists. 


- if you want to know which lexicons have been used for Named Entity Recognition, you have to click on the buttons "Resource Type" and "Resource Use" and then select the values "Lexicon" and "Named Entity Recognition" respectively in the drop lists. 


- if you want to know which resources have been newly created for Sign Language as modality, you have to click on the buttons "Resource Modality" and "Resource Status" and then select the values "Sign Language" and "Newly created-finished" respectively in the drop lists. 


- if you want to know which corpus has been used for Document classification in English, you have to click on the buttons "Resource Type", "Resource Use" and "Resource Language" and then select the values "Corpus", "Document classification/Text categorization" and "English" respectively in the drop lists.


The COLING data will be added soon and you will then be able to chose if to search the 2 Conferences data independently or together. 


More functionalities will be added in next versions and we hope to receive your feedback at lrecmap@lrec-conf.org to help us make the Map better.