DeepAI AI Chat
Log In Sign Up

Towards a parallel corpus of Portuguese and the Bantu language Emakhuwa of Mozambique

by   Felermino D. M. A. Ali, et al.
University of Cambridge

Major advancement in the performance of machine translation models has been made possible in part thanks to the availability of large-scale parallel corpora. But for most languages in the world, the existence of such corpora is rare. Emakhuwa, a language spoken in Mozambique, is like most African languages low-resource in NLP terms. It lacks both computational and linguistic resources and, to the best of our knowledge, few parallel corpora including Emakhuwa already exist. In this paper we describe the creation of the Emakhuwa-Portuguese parallel corpus, which is a collection of texts from the Jehovah's Witness website and a variety of other sources including the African Story Book website, the Universal Declaration of Human Rights and Mozambican legal documents. The dataset contains 47,415 sentence pairs, amounting to 699,976 word tokens of Emakhuwa and 877,595 word tokens in Portuguese. After normalization processes which remain to be completed, the corpus will be made freely available for research use.


Monolingual and Parallel Corpora for Kangri Low Resource Language

In this paper we present the dataset of Himachali low resource endangere...

Past, Present, Future: A Computational Investigation of the Typology of Tense in 1000 Languages

We present SuperPivot, an analysis method for low-resource languages tha...

Producing Corpora of Medieval and Premodern Occitan

At a time when the quantity of - more or less freely - available data is...

The word entropy of natural languages

The average uncertainty associated with words is an information-theoreti...

Comparing morphological complexity of Spanish, Otomi and Nahuatl

We use two small parallel corpora for comparing the morphological comple...

Creating and Managing a large annotated parallel corpora of Indian languages

This paper presents the challenges in creating and managing large parall...


MULTEXT-East language resources, a multilingual dataset for language eng...