  Minority languages continue to lack adequate resources for their development,
especially in the technological domain. Likewise, the J.P. Harrington Papers
collection at the Smithsonian Institution are difficult to access in practical
terms for community members and researchers due to its handwritten and
disorganized format. Our current work seeks to make a portion of this
publicly-available yet problematic material practically accessible for natural
language processing use. Here, we present the Harrington Yowlumne Narrative
Corpus, a corpus of 20 narrative texts that derive from the Tejone\~no Yowlumne
community of the Tinliw rancheria in Kern County, California between 1910 and
1925. We digitally transcribe the texts and, through a Levenshtein
distance-based algorithm and manual checking, we provide gold-standard aligned
normalized and lemmatized text. We likewise provide POS tags for each
lemmatized token via a lexicon-based deterministic approach. Altogether, the
corpus contains 57,136 transcribed characters aligned with 10,719 gold standard
text-normalized words.
