Introduction: New Words, NLP and the Logoscope
Like other areas of linguistics, the study of new words has benefited from the development of natural language processing techniques in the last twenty years. In this research area, the digital revolution has significantly changed the way to collect the data necessary for empirical research BIBREF0 , BIBREF1 : The traditional practice of collecting new words by reading texts (newspapers, literature, scientific and technical texts, etc.), has been supplemented by an automatisation of the collection process. In fact, today there are many computer tools capable of searching through large amounts of texts (often newspapers) in order to automatically detect the newly created words in various languages (German, Catalan, Spanish, English, French, etc.).
General Description of the Logoscope Framework
The main building block of the Logoscope framework consists of a continuously updated lexical resource containing unknown words, their occurrences in French online press articles and further morpho-syntactic and contextual documentation. In addition our system features a query interface which allows an open access to this knowledge base.
New Words are Collected in Three Stages
The Logoscope is built in three stages (see Figure FIGREF6 ). The first stage consists in the automatic detection of the unknown words. In the second stage the detected unknown words are manually validated, that is, a human expert decides which of them are genuine word creations. Finally, in the third stage these validated unknown words are documented. This is done firstly by manually adding morpho-syntactic features and information on the originating creation process. This information is automatically complemented by contextual information, typically e.g the journal and the paragraph the new words appeared in. But, in contrast to other similar systems (see Section SECREF32 ), the Logoscope also (automatically) gives a rough approximation of what the article containing the new word is about.
In the next sections we will first give a more detailed description of each of these three stages before briefly addressing how the Logoscope might be used through its web interface in Section SECREF30 . A more detailed report of the arising NLP challenges and the methods we used to tackle them will be presented in Section SECREF5 .
Stage 1: Detection of Unknown Words
The Logoscope retrieves newspaper articles from several RSS feeds in French on a daily basis. The newspaper articles are preprocessed such that only the journalistic content is kept. The articles are then segmented into paragraphs and word forms. The resulting forms are filtered based on an exclusion list (French words found in several lexicons and corpora). They are then reordered in such a way that those words which are the most likely new word candidates appear on top, using a supervised classification method which will be described more in detail in Section SECREF71 .

Question: How often are the newspaper websites crawled daily?
Answer: RSS feeds in French on a daily basis