Recurrent Neural Network Based Loanwords Identification in Uyghur

Toward Better Loanword Identification in Uyghur Using Cross-lingual Word Embeddings

To enrich vocabulary of low resource settings, we proposed a novel method which identify loanwords in monolingual corpora. More specifically, we first use cross-lingual word embeddings as the core feature to generate sem…

A Neural Network Based Model for Loanword Identification in Uyghur

Are Language Models Borrowing-Blind? A Multilingual Evaluation of Loanword Identification across 10 Languages

Throughout language history, words are borrowed from one language to another and gradually become integrated into the recipient's lexicon. Speakers can often differentiate these loanwords from native vocabulary, particul…

Noisy Uyghur Text Normalization

Uyghur is the second largest and most actively used social media language in China. However, a non-negligible part of Uyghur text appearing in social media is unsystematically written with the Latin alphabet, and it cont…

Analyzing Semantic Change in Japanese Loanwords

We analyze semantic changes in loanwords from English that are used in Japanese (Japanese loanwords). Specifically, we create word embeddings of English and Japanese and map the Japanese embeddings into the English space…