Уровень 0 · материалов: 3
В кластер входят документы о создании программных инструментов для синтаксического или семантического анализа текстов на русском языке.
Общие признаки: разработка парсеров, обработка русского языка, извлечение структурированных данных из строк
Группа выше: Парсинг и веб-скрапинг
Смысл: The text explains how to build a robust numeric parser for Russian text that can tolerate errors caused by OCR or typos by combining a hierarchical parsing logic with a weighted string distance algorithm.
A detailed guide on creating a C# parser that converts misspelled or OCR-generated Russian words into numbers using weighted edit distances and hierarchical tokenization.
Смысл: The text is a sharing of a practical, albeit unoptimized, programming solution for parsing Russian dates from natural language strings to improve user experience in productivity apps.
A hobbyist programmer shares a working but unpolished JavaScript function for parsing Russian dates from natural language to aid in fast task scheduling.
Смысл: The main idea is to demonstrate that it is possible to build a functional syntactic parser for the Russian language using open-source tools like MaltParser and labeled linguistic datasets (treebanks), advocating for dependency grammar over constituency grammar due to Russian's flexible syntax.
A technical guide on implementing a Russian syntactic parser using MaltParser and the SynTagRus corpus, emphasizing the effectiveness of dependency grammar for the language.