OpenNMT / OpenNMT/CTranslate2

Constrained beam search like Fairseq

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Dominant language
C++
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Description

Hi, can someone help, how to get started with implementing unordered constrained beam search from Fairseq.
https://github.com/facebookresearch/fairseq/blob/main/examples/constrained_decoding/README.md

What part of decoding code should I tweak, what are the important steps in decoding?

Contributor guide

Open the contributing guide

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

Start by reading the linked Fairseq constrained decoding README and locating the CTranslate2 decoding code referred to in the issue. The issue does not name a file or test; done would require implementing unordered constrained beam search with behavior aligned to the Fairseq approach and establishing how it should be verified.

Written by the indexing model from the issue text.

Assessment

Tech stack
cpp
Domain
machine-learning
Issue type
Feature
Difficulty
5/5
Estimated time
Over a week
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
25/100

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