While generative models such as Latent Dirichlet Allocation (LDA) have proven fruitful in
topic modeling, they often require detailed assumptions and careful specification of …

The use of machine learning for NLP generally requires resources for training. Tasks
performed in a low-resource language usually rely on labeled data in another, typically …

Automatic speech recognition (ASR) systems often need to be developed for extremely low-
resource languages to serve end-uses such as audio content categorization and search …

This dissertation investigates backness harmony in Uyghur (Turkic: China) from a variety of
methodological and analytical perspectives. Backness harmony is a phenomenon where …

Identifying sentiment in a low-resource language is essential for understanding opinions
internationally and for responding to the urgent needs of locals affected by disaster incidents …

This paper describes the ARIEL-CMU submissions to the Low Resource Human Language
Technologies (LoReHLT) 2018 evaluations for the tasks Machine Translation (MT), Entity …

This paper examines a case of phonological opacity in Uyghur that results from an
interaction between backness harmony and a vowel reduction process that converts …

This paper presents three corpora of English, French and Spanish humanitarian documents
compiled with reports obtained from ReliefWeb through its API. ReliefWeb is a leading …

This paper examines whether prosodic information is usefully indicative of urgency and
related attributes of situations in news broadcasts. We find that, in all 8 languages studied …

Hoy en día, el porcentaje de la información disponible en inglés en Word Wide Web está
disminuyendo, debido a que otros lenguajes como: chino, español, árabe y portugués están …