matlab_word2vec_bin​ary_reader

Version 1.2 (6,15 KB) von Toru Ikegami
readW2Vbin - MATLAB utility to read binary word2vec embedding model file
48 Downloads
Aktualisiert 25 Jun 2020

Use `readW2Vbin` to read a pre-trained word2vec word embedding model in the binary format. It assumes that the file is written in the following format.

- The data before the first `0x20` (space) are ascii characters representing the number of vocabularies of the model , while the data between the first `0x20` and the first `0x10` (newline) represent the dimension of the word vector. (e.g.,`[ 51 48 48 48 48 48 48 32 51 48 48 10] ` means 3 milion words embedded into 300 dimensions. )
- The main body, which consists of sequence of word-vector pairs, begins right after the newline character. One word-vector pair consists of a sequence of bytes that represents a word, space (0x20), and a sequence of binary data that represents the embedded vector corresponding to the word in single precision (32bit) format. The length of the vector data is 4bytes times number of dimensions (e.g., 1200 bytes for 300 dimension).

This function was tested with the "GoogleNews-vectors-negative300.bin" from the word2vec web (https://code.google.com/archive/p/word2vec/). It took about a minute to read the 3.5GB file.

Zitieren als

Toru Ikegami (2024). matlab_word2vec_binary_reader (https://github.com/mathworks/matlab_word2vec_binary_reader/releases/tag/v1.2), GitHub. Abgerufen .

Kompatibilität der MATLAB-Version
Erstellt mit R2019b
Kompatibel mit R2019b bis R2020a
Plattform-Kompatibilität
Windows macOS Linux

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Version Veröffentlicht Versionshinweise
1.2

See release notes for this release on GitHub: https://github.com/mathworks/matlab_word2vec_binary_reader/releases/tag/v1.2

1.1

See release notes for this release on GitHub: https://github.com/mathworks/matlab_word2vec_binary_reader/releases/tag/v1.1

1.0

Um Probleme in diesem GitHub Add-On anzuzeigen oder zu melden, besuchen Sie das GitHub Repository.
Um Probleme in diesem GitHub Add-On anzuzeigen oder zu melden, besuchen Sie das GitHub Repository.