ortix-seg

Runtime package for Ortix Latvian sentence segmentation models.

pip install ortix-seg

from ortix.seg import SentenceSegmenter

segmenter = SentenceSegmenter.from_pretrained("Baltrix-AI/ortix-seg-lv-base")
spans = segmenter.segment("Pirmais teikums. Otrais teikums.")
# spans == [
#     SentenceSpan(start=0, end=16, text="Pirmais teikums."),
#     SentenceSpan(start=16, end=32, text=" Otrais teikums."),
# ]

for span in spans:
    print(span.text)

Ortix sentence-segmentation model repositories include sentence_segmentation_config.json, which stores the calibrated threshold, sliding-window settings, and post-processing defaults used at inference time.

The threshold can be adjusted when a project needs a different precision/recall tradeoff:

segmenter = SentenceSegmenter.from_pretrained(
    "Baltrix-AI/ortix-seg-lv-base",
    threshold=0.65,
)

Advanced post-processing switches can be overridden from Python:

segmenter = SentenceSegmenter.from_pretrained(
    "Baltrix-AI/ortix-seg-lv-base",
    postprocessing_overrides={
        "suppress_latvian_abbreviation_continuations": False,
    },
)

The command line exposes the threshold override:

ortix-seg --model Baltrix-AI/ortix-seg-lv-base --threshold 0.65 input.txt