dutchembeddings | word embeddings experiments | Natural Language Processing library
kandi X-RAY | dutchembeddings Summary
kandi X-RAY | dutchembeddings Summary
Repository for the word embeddings described in Evaluating Unsupervised Dutch Word Embeddings as a Linguistic Resource, presented at LREC 2016. All embeddings are released under the CC-BY-SA-4.0 license. The software is released under the GNU GPL 2.0. These embeddings have been created with the support of Textgain.
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Top functions reviewed by kandi - BETA
- Create cooccurrence matrix
- Clip the PMI score of the PMI
- Compute the PMI from a co - occurrence counts
- Save word frequency frequencies
- Save sparse matrix
- Save word2id to file
- Calculate accuracy
- Calculate the word frequency for each sentence
- Calculate the counts for a given sentence
- Count the number of words in a sentence
- Compute the similarity between two words
- Convert a raw text file to pmi matrix
- Converts a list of labels to features
- Create a set of categories
- Compute the accuracy of the given model
dutchembeddings Key Features
dutchembeddings Examples and Code Snippets
Community Discussions
Trending Discussions on dutchembeddings
QUESTION
ANSWER
Answered 2019-Dec-04 at 07:27If no tar/untar is installed you can use the internal one from R, add the tar
parameter to untar
QUESTION
I downloaded Wikipedia word vectors from here. I loaded the vectors with:
...ANSWER
Answered 2017-Mar-21 at 20:30You can't use KeyedVectors for that. From the documentation:
Word vector storage and similarity look-ups.
The word vectors are considered read-only in this class.
And also:
The word vectors can also be instantiated from an existing file on disk in the word2vec C format as a KeyedVectors instance.
[...]
NOTE: It is impossible to continue training the vectors loaded from the C format because hidden weights, vocabulary frequency and the binary tree is missing.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
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Install dutchembeddings
You can use dutchembeddings like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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