Prebuild Big Data Word2Vec dictionaries

                   Prebuild and trained Word2Vec dictionaries ready for use

Two different prebuild big data Word2Vec dictionaries has been added to LOAR (Library Open Access Repository) for download. These dictionaries are build from the text of 55,000 e-books from Project Gutenberg and 32.000.000 Danish newspaper pages.

35.000 of the Gutenberg e-books are English, but over 50 different languages are present in the dictionaries. Even though they are different languages the Word2Vec algorithm did a good job of separating the different languages so it is almost like 50 different Word2Vec dictionaries.

The text from the danish newspapers is not public available so you would not be able to build this dictionary yourself. A total of 300Gb of raw text went into building the dictionary, so it is probably the largest Word2Vec dictionary build on a Danish corpus. Since the danish newspapers suffer from low quality OCR, many of words in the dictionary are misspellings. Using this dictionary it was possible to fix many of the OCR errors due the nature of the Word2Vec algorithm, since a given word appears in similar contexts despite its misspellings and is identified by its context. (see https://sbdevel.wordpress.com/2017/02/02/automated-improvement-of-search-in-low-quality-ocr-using-word2vec/)

Download and more information about the Word2Vec dictionaries:

Download

 

Online demo of the two corpora: Word2Vec demo

 

 

 

 

 

 

Advertisements

About thomasegense

Thomas Egense Mathematician Works at The State and University Library, Denmark
This entry was posted in Uncategorized. Bookmark the permalink.

Leave a Reply

Fill in your details below or click an icon to log in:

WordPress.com Logo

You are commenting using your WordPress.com account. Log Out /  Change )

Google+ photo

You are commenting using your Google+ account. Log Out /  Change )

Twitter picture

You are commenting using your Twitter account. Log Out /  Change )

Facebook photo

You are commenting using your Facebook account. Log Out /  Change )

Connecting to %s