A current problem in NLP is massaging and processing low-resource languages which lack
useful training attributes such as supervised data, number of native speakers or experts, etc …

The lack or absence of parallel and comparable corpora makes bilingual lexicon extraction
a difficult task for low-resource languages. The pivot language and cognate recognition …

Bilingual lexicons are a vital tool for under-resourced languages and recent state-of-the-art
approaches to this leverage pretrained monolingual word embeddings using supervised or …

Creating bilingual dictionary is the first crucial step in enriching low-resource languages.
Especially for the closely related ones, it has been shown that the constraint-based …

The constraint-based approach has been proven useful for inducing bilingual dictionary for
closely-related low-resource languages. When we want to create multiple bilingual …

In historical linguistics, cognates are words that descend in direct line from a common
ancestor, called their proto-form, and therefore are representative of their respective …

Indonesia has a diverse ethnic and cultural background. However, this diversity sometimes
creates social problems, such as intertribal conflict. Because of the large differences among …

Machine Translation (MT) is very useful in supporting multicultural communication. Existing
Statistical Machine Translation (SMT) which requires high quality and quantity of corpora …

Indonesia has a variety of ethnic languages, most of which belong to the same language
family: the Austronesian languages. Due to the shared language family, words in Indonesian …

Corpus preparation for low-resource languages and for development of human language
technology to analyze or computationally process them is a laborious task, primarily due to …