Nlp

Dealing with PUNCT nodes in interlinear glossing.

A CSS-based experiment in displaying words, lemmas, and parts of speech as three-line interlinear text for a language-learning project.

leipzig.js is a library for applying interlinear gloss to texts for linguistic analysis. In this post, I experiment a little with this libary to evaluate whether it would work for a little project of mine.

Starting a new devlog about Hedghog, a new language learning app and some thoughts about the interlinear display of lemmas.

Splitting text into sentences is one of those tasks that looks simple but on closer inspection is more difficult than you think. A common approach is to use regular expressions to divide up the text on punction marks. But without adding layers of complexity, that method fails on some sentences. This is a method using spaCy.

Removing Russian stress marks in Python with byte replacements or regular expressions, including handling accented Latin lookalikes.

Using regular expressions to remove syllabic stress marks from Russian text.