Search Results - "Adelani, David"

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  1. 1

    Meta’s AI translation model embraces overlooked languages by Adelani, David I.

    Published in Nature (London) (27-06-2024)
    “…More than 7,000 languages are in use throughout the world, but popular translation tools cannot deal with most of them. A translation model that was tested on…”
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  2. 2

    Translation tool embraces overlooked languages by Adelani, David I

    Published in Nature (London) (27-06-2024)
    “…The biggest challenge in this endeavour was the lack of data available to train and evaluate the model. The data set has already been leveraged to create new…”
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  3. 3

    Estimating community feedback effect on topic choice in social media with predictive modeling by Adelani, David Ifeoluwa, Kobayashi, Ryota, Weber, Ingmar, Grabowicz, Przemyslaw A.

    Published in EPJ data science (31-08-2020)
    “…Social media users post content on various topics. A defining feature of social media is that other users can provide feedback—called community feedback—to…”
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  4. 4

    Consultative engagement of stakeholders toward a roadmap for African language technologies by Siminyu, Kathleen, Abbott, Jade, Túbọ̀sún, Kọ́lá, Anuoluwapo, Aremu, Sibanda, Blessing K., Yeboah, Kofi, Adelani, David, Mokgesi-Selinga, Masabata, Apina, Frederick R., Mthembu, Angela Thandizwe, Ramkilowan, Arshath, Oladimeji, Babatunde

    Published in Patterns (New York, N.Y.) (11-08-2023)
    “…There has been a rise in natural language processing (NLP) communities across the African continent (Masakhane, AfricaNLP workshops). With this momentum noted,…”
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  5. 5

    ANGOFA: Leveraging OFA Embedding Initialization and Synthetic Data for Angolan Language Model by Quinjica, Osvaldo Luamba, Adelani, David Ifeoluwa

    Published 03-04-2024
    “…In recent years, the development of pre-trained language models (PLMs) has gained momentum, showcasing their capacity to transcend linguistic barriers and…”
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  6. 6

    MINERS: Multilingual Language Models as Semantic Retrievers by Winata, Genta Indra, Zhang, Ruochen, Adelani, David Ifeoluwa

    Published 11-06-2024
    “…Words have been represented in a high-dimensional vector space that encodes their semantic similarities, enabling downstream applications such as retrieving…”
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  7. 7

    Does Generative AI speak Nigerian-Pidgin?: Issues about Representativeness and Bias for Multilingualism in LLMs by Adelani, David Ifeoluwa, Doğruöz, A. Seza, Shode, Iyanuoluwa, Aremu, Anuoluwapo

    Published 30-04-2024
    “…Nigeria is a multilingual country with 500+ languages. Naija is a Nigerian-Pidgin spoken by approx. 120M speakers in Nigeria and it is a mixed language (e.g.,…”
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  8. 8
  9. 9

    yosm: A new yoruba sentiment corpus for movie reviews by Shode, Iyanuoluwa, Adelani, David Ifeoluwa, Feldman, Anna

    Published 20-04-2022
    “…A movie that is thoroughly enjoyed and recommended by an individual might be hated by another. One characteristic of humans is the ability to have feelings…”
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  10. 10

    How good are Large Language Models on African Languages? by Ojo, Jessica, Ogueji, Kelechi, Stenetorp, Pontus, Adelani, David Ifeoluwa

    Published 14-11-2023
    “…Recent advancements in natural language processing have led to the proliferation of large language models (LLMs). These models have been shown to yield good…”
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  11. 11

    NollySenti: Leveraging Transfer Learning and Machine Translation for Nigerian Movie Sentiment Classification by Shode, Iyanuoluwa, Adelani, David Ifeoluwa, Peng, Jing, Feldman, Anna

    Published 18-05-2023
    “…Africa has over 2000 indigenous languages but they are under-represented in NLP research due to lack of datasets. In recent years, there have been progress in…”
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  12. 12

    varepsilon$ K\'U : Integrating Yor\`ub\'a cultural greetings into machine translation by Akinade, Idris, Alabi, Jesujoba, Adelani, David, Odoje, Clement, Klakow, Dietrich

    Published 31-03-2023
    “…This paper investigates the performance of massively multilingual neural machine translation (NMT) systems in translating Yor\`ub\'a greetings ($\varepsilon$…”
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  13. 13

    Comparing LLM prompting with Cross-lingual transfer performance on Indigenous and Low-resource Brazilian Languages by Adelani, David Ifeoluwa, Doğruöz, A. Seza, Coneglian, André, Ojha, Atul Kr

    Published 28-04-2024
    “…Large Language Models are transforming NLP for a variety of tasks. However, how LLMs perform NLP tasks for low-resource languages (LRLs) is less explored. In…”
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  14. 14

    TOKEN is a MASK: Few-shot Named Entity Recognition with Pre-trained Language Models by Davody, Ali, Adelani, David Ifeoluwa, Kleinbauer, Thomas, Klakow, Dietrich

    Published 15-06-2022
    “…Transferring knowledge from one domain to another is of practical importance for many tasks in natural language processing, especially when the amount of…”
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  15. 15

    Adapting Pre-trained Language Models to African Languages via Multilingual Adaptive Fine-Tuning by Alabi, Jesujoba O, Adelani, David Ifeoluwa, Mosbach, Marius, Klakow, Dietrich

    Published 13-04-2022
    “…Multilingual pre-trained language models (PLMs) have demonstrated impressive performance on several downstream tasks for both high-resourced and low-resourced…”
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  16. 16

    Machine Translation Hallucination Detection for Low and High Resource Languages using Large Language Models by Benkirane, Kenza, Gongas, Laura, Pelles, Shahar, Fuchs, Naomi, Darmon, Joshua, Stenetorp, Pontus, Adelani, David Ifeoluwa, Sánchez, Eduardo

    Published 23-07-2024
    “…Recent advancements in massively multilingual machine translation systems have significantly enhanced translation accuracy; however, even the best performing…”
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  17. 17

    NaijaRC: A Multi-choice Reading Comprehension Dataset for Nigerian Languages by Aremu, Anuoluwapo, Alabi, Jesujoba O, Abolade, Daud, Aguobi, Nkechinyere F, Muhammad, Shamsuddeen Hassan, Adelani, David Ifeoluwa

    Published 18-08-2023
    “…In this paper, we create NaijaRC: a new multi-choice Reading Comprehension dataset for three native Nigeria languages that is based on high-school reading…”
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  18. 18

    Voices Unheard: NLP Resources and Models for Yor\`ub\'a Regional Dialects by Ahia, Orevaoghene, Aremu, Anuoluwapo, Abagyan, Diana, Gonen, Hila, Adelani, David Ifeoluwa, Abolade, Daud, Smith, Noah A, Tsvetkov, Yulia

    Published 27-06-2024
    “…Yor\`ub\'a an African language with roughly 47 million speakers encompasses a continuum with several dialects. Recent efforts to develop NLP technologies for…”
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  19. 19

    {I}r\`{o}y\`{i}nSpeech: A multi-purpose Yor\`{u}b\'{a} Speech Corpus by Ogunremi, Tolulope, Tubosun, Kola, Aremu, Anuoluwapo, Orife, Iroro, Adelani, David Ifeoluwa

    Published 29-07-2023
    “…We introduce \`{I}r\`{o}y\`{i}nSpeech, a new corpus influenced by the desire to increase the amount of high quality, contemporary Yor\`{u}b\'{a} speech data,…”
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  20. 20

    Improving Language Plasticity via Pretraining with Active Forgetting by Chen, Yihong, Marchisio, Kelly, Raileanu, Roberta, Adelani, David Ifeoluwa, Stenetorp, Pontus, Riedel, Sebastian, Artetxe, Mikel

    Published 03-07-2023
    “…Pretrained language models (PLMs) are today the primary model for natural language processing. Despite their impressive downstream performance, it can be…”
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