In today's technologically advanced world, natural language processing is a vital field that aims to develop machines capable of understanding human language. One of the critical components of natural language processing is subword segmentation, which breaks down complex words into smaller units. This is where Byte Pair Encoding, or BPE, comes in.
What is BPE?
BPE is a subword segmentation algorithm that encodes rare and unknown words by dividing them into sequences of subword units. The algo
What is Gradient-Based Subword Tokenization?
Gradient-Based Subword Tokenization (GBST) is a method of automatically learning latent subword representations from characters. It is a soft gradient-based subword tokenization module that uses a block scoring network to score candidate subword blocks. GBST is a data-driven approach that enumerates subword blocks and learns to score them position-wise.
The scoring network scores each candidate subword block and learns a position-wise soft selection
Unigram Segmentation is an algorithm used for breaking down words into smaller parts called subwords to help with natural language processing. This algorithm relies on a language model that assumes that each subword in a sentence occurs independently. This makes it possible to calculate the probability of the subword sequence based on the occurrence probability of each subword.
How it Works
The Unigram Segmentation algorithm segments sentences based on a language model that estimates the prob
What is WordPiece?
WordPiece is an algorithm used in natural language processing to break down words into smaller, more manageable subwords. This subword segmentation method is a type of unsupervised learning, which means that it does not require human annotation or pre-defined rules to work.
The WordPiece algorithm starts by initializing a word unit inventory with all the characters in the language. A language model is then built using this inventory, which allows the algorithm to identify th