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Full-Text Articles in Computational Linguistics
Brazilian Portuguese-Russian (Braporus) Corpus: Automatic Transcription And Acoustic Quality Of Elderly Speech During Covid-19 Pandemic, Irina A. Sekerina, Anna Smirnova Henriques, Aleksandra Skorobogatova, Natalia Tyulina, Tatiana V. Kachkovskaia, Svetlana Ruseishvili, Sandra Madureira
Brazilian Portuguese-Russian (Braporus) Corpus: Automatic Transcription And Acoustic Quality Of Elderly Speech During Covid-19 Pandemic, Irina A. Sekerina, Anna Smirnova Henriques, Aleksandra Skorobogatova, Natalia Tyulina, Tatiana V. Kachkovskaia, Svetlana Ruseishvili, Sandra Madureira
Publications and Research
This article presents the Brazilian Portuguese-Russian (BraPoRus) corpus, whose goal is to collect, analyze, and preserve for posterity the spoken heritage Russian still used today in Brazil by approximately 1,500 elderly bilingual heritage Russian–Brazilian Portuguese speakers. Their unique 100-year-old variety of moribund Russian is disappearing because it has not been passed to their descendants born in Brazil. During the COVID-19 pandemic, we remotely collected 170 h of speech samples in heritage Russian from 26 participants (Mage = 75.7 years) in naturalistic settings using Zoom or a phone call. To estimate the quality of collected data, we focus on two methodological …
Synthetic, Yet Natural: Properties Of Wordnet Random Walk Corpora And The Impact Of Rare Words On Embedding Performance, Filip Klubicka, Alfredo Maldonado, Abhijit Mahalunkar, John D. Kelleher
Synthetic, Yet Natural: Properties Of Wordnet Random Walk Corpora And The Impact Of Rare Words On Embedding Performance, Filip Klubicka, Alfredo Maldonado, Abhijit Mahalunkar, John D. Kelleher
Conference papers
Creating word embeddings that reflect semantic relationships encoded in lexical knowledge resources is an open challenge. One approach is to use a random walk over a knowledge graph to generate a pseudo-corpus and use this corpus to train embeddings. However, the effect of the shape of the knowledge graph on the generated pseudo-corpora, and on the resulting word embeddings, has not been studied. To explore this, we use English WordNet, constrained to the taxonomic (tree-like) portion of the graph, as a case study. We investigate the properties of the generated pseudo-corpora, and their impact on the resulting embeddings. We find …