NormForm Bokmål Two-Task Model (NbAiLab/normform-bokmaal-multitask)

Experimental Release (v0.1): Part of the NormForm toolkit for context-aware Norwegian morphological standardization, alternative generation, and sub-norm consistency auditing.

This two-task T5Gemma2 sequence-to-sequence model handles:

1. create_morphological_alternatives: — Expands Norwegian Bokmål sentences into contextually valid [alt1|alt2] morphological alternative lattices while preserving all non-alternative text byte-for-byte.
2. skriv_i_samme_morfologiske_stil: — Resolves [alt1|alt2] morphological lattices into a consistent target sub-norm style conditioned on steering prompt words.

Quick Start with normform

Install the normform package (which wraps this model with strict Template.align lattice validation and the official reviewed NbAiLab/normform-bokmaal-redaksjonsnorm style cache):

pip install normform

# Standardize Bokmål text using Redaksjonsnorm:
normform standardize -t "Jenten kasta boken og så på klokka utenfor sykehuset." --lang nob --style redaksjonsnorm
# -> Jenta kastet boka og så på klokken utafor sjukehuset.

# Generate [alt1|alt2] morphological alternative brackets:
normform alternatives -t "Katta ligger på matta." --lang nob
# -> [Katta|Katten] ligger på [matta|matten].

# Audit a document for internal sub-norm inconsistencies:
normform audit -i manuscript.txt --lang nob --raw

Python API

from normform import Standardizer

std = Standardizer(lang="nob", style="redaksjonsnorm")
print(std("Jenten kasta boken og så på klokka utenfor sykehuset."))
# -> "Jenta kastet boka og så på klokken utafor sjukehuset."

Model Provenance

• Base Model: google/t5gemma-2-1b-1b@dd0a2683227859151b1730ca3a63087df5b5f39b
• Training Checkpoint: Final step (47,544; 3 epochs) of the production two-task SFT run on NbAiLab/nb-asr-morfologiske-oppgaver-nob-r1@4fca7b0d21c7d61114322622be9e65c824c70001.
• Official Companion Style Cache: NbAiLab/normform-bokmaal-redaksjonsnorm