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Русский(RU) Данные для языка, которого почти нет в интернете: текстовые слои, турецкие подмены и псевдоразметка двумя моделями В первой статье серии я писал, что у крымскот

Data processing for low-resource Crimean Tatar language model detailed

This article details the data collection and processing methods used to create a language model for Crimean Tatar, a language with limited online resources. The author explains the challenges of working with scarce data, including the use of Turkish language data as a substitute and pseudo-labeling techniques involving two models. The focus is on the metrics, verification methodology, and lessons learned during the data preparation process. AI

IMPACT Provides insights into data acquisition and processing techniques for low-resource languages, potentially aiding future NLP research in similar domains.

RANK_REASON The article details the methodology and data processing for creating a language model for a low-resource language, which falls under research. [lever_c_demoted from research: ic=1 ai=1.0]

Read on Mastodon — fosstodon.org →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Data processing for low-resource Crimean Tatar language model detailed

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14 / 100
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The article details the methodology and data processing for creating a language model for a low-resource language, which falls under research. [lever_c_demoted from research: ic=1 ai=1.0]
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High
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Breaking (< 6h)
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COVERAGE [1]

  1. Mastodon — fosstodon.org TIER_1 Русский(RU) · [email protected] ·

    Data for a language with almost no internet presence: text layers, Turkish substitutions, and pseudo-labeling with two models In the first article of the series, I wrote that Crimean Tatar

    Данные для языка, которого почти нет в интернете: текстовые слои, турецкие подмены и псевдоразметка двумя моделями В первой статье серии я писал, что у крымскотатарского не было ни одного датасета, пригодного для серьёзной работы, и что начинал я с существующего речевого набора, …