PetrochukM/PyTorch-NLP

Add BPE Text Encoder

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#7 opened on Mar 25, 2018

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 (3 comments) (0 reactions) (0 assignees)Python (2,205 stars) (262 forks)batch import
enhancementgood first issuehelp wanted

Description

Tokenizer Reference: https://github.com/eladhoffer/seq2seq.pytorch/blob/master/seq2seq/tools/tokenizer.py

Contributor guide

Tech stack
pythonpytorch
Domain
machine learning
Issue type
feature
DifficultyEstimated implementation difficulty for a new contributor, from 1 for very small changes to 5 for expert-level work.
3
Estimated timeA rough time range for an experienced contributor to investigate, implement, test, and prepare a pull request.
1-3 hours
Activity statusHow available the issue appears right now: fresh, active, stale, blocked, or waiting on maintainer input.
stale
ClarityHow clearly the issue explains the expected change, acceptance criteria, and next step.
needs investigation
Prerequisites
PythonPyTorchBPE concept
Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.
30
Research direction
Study the linked tokenizer reference at seq2seq.pytorch to understand the BPE implementation pattern. Explore the PyTorch NLP repository for existing encoder base classes and integration points. Determine if the encoder should be a standalone module or part of the tokenizer subpackage. Open a discussion to clarify the expected API and scope.
Add BPE Text Encoder · PetrochukM/PyTorch-NLP#7 | Good First Issue