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This study aims to shed light on the epistemic indefinite interpretation (EI) of the Akan (Asante Twi) determiner bi which hitherto had not been discussed in the Akan literature. In previous studies, Amfo (2010) and Arkoh (2011) review its ref- erential or specific...

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Recent advances in the pre-training of language models leverage large-scale datasets to create multilingual models. However, low-resource languages are mostly left out in these datasets. This is primarily because many widely spoken languages are not well represente...

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AfriCLIRMatrix is a test collection for cross-lingual information retrieval research in 15 diverse African languages. This resource comprises English queries with query–document relevance judgments in 15 African languages automatically mined from Wikipedia...

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Language diversity in NLP is critical in enabling the development of tools for a wide range of users.However, there are limited resources for building such tools for many languages, particularly those spoken in Africa.For search, most existing datasets feature few ...

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AfriSenti is the largest sentiment analysis dataset for under-represented African languages, covering 110,000+ annotated tweets in 14 African languages (Amharic, Algerian Arabic, Hausa, Igbo, Kinyarwanda, Moroccan Arabic, Mozambican Portuguese, Nigerian Pidgin, Oro...

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Africa is home to over 2000 languages from over six language families and has the highest linguistic diversity among all continents. This includes 75 languages with at least one million speakers each. Yet, there is little NLP research conducted on African languages...

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AfroLID is a powerful neural toolkit for African languages identification which covers 517 African languages....

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Language identification (LID) is a crucial precursor for NLP, especially for mining web data. Problematically, most of the world's 7000+ languages today are not covered by LID technologies. We address this pressing issue for Africa by introducing AfroLID, a neural ...

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The implicational complementation hierarchy (ICH) formulated by Wurmbrand & Lohninger (2020) distinguishes three complement types: Proposition, Situation and Event, which are ordered by independence, transparency, integration and complexity. The ICH outlines the co...

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Datasets are foundational to many breakthroughs in modern artificial intelligence. Many recent achievements in the space of natural language processing (NLP) can be attributed to the finetuning of pre-trained models on a diverse set of tasks that enables a large la...

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Ayekoo Afrique was created with the primary interest of making the learning of African languages an easy task to people such as Africans in the Diaspora, African Americans who although living outside the African continent share a connection with us by reason of anc...

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BibleTTS is a large high-quality open Text-to-Speech dataset with up to 80 hours of single speaker, studio quality 48kHz recordings for each language. We release aligned speech and text for six languages spoken in Sub-Saharan Africa, with unaligned data for four ad...

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BibleTTS is a large, high-quality, open speech dataset for ten languages spoken in Sub-Saharan Africa. The corpus contains up to 86 hours of aligned, studio quality 48kHz single speaker recordings per language, enabling the development of high-quality text-to-speec...

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CCAligned consists of parallel or comparable web-document pairs in 137 languages aligned with English. These web-document pairs were constructed by performing language identification on raw web-documents, and ensuring corresponding language codes were corresponding...

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Cross-lingual document alignment aims to identify pairs of documents in two distinct languages that are of comparable content or translations of each other. In this paper, we exploit the signals embedded in URLs to label web documents at scale with an average preci...

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