Zobrazeno 1 - 10
of 1 212
pro vyhledávání: '"Ibrahim, Said. A."'
How effective is peer-reviewing in identifying important papers? We treat this question as a forecasting task. Can we predict which papers will be highly cited in the future based on venue and "early returns" (citations soon after publication)? We sh
Externí odkaz:
http://arxiv.org/abs/2412.14351
Autor:
Ahmad, Ibrahim Said, Anastasopoulos, Antonios, Bojar, Ondřej, Borg, Claudia, Carpuat, Marine, Cattoni, Roldano, Cettolo, Mauro, Chen, William, Dong, Qianqian, Federico, Marcello, Haddow, Barry, Javorský, Dávid, Krubiński, Mateusz, Lam, Tsz Kin, Ma, Xutai, Mathur, Prashant, Matusov, Evgeny, Maurya, Chandresh, McCrae, John, Murray, Kenton, Nakamura, Satoshi, Negri, Matteo, Niehues, Jan, Niu, Xing, Ojha, Atul Kr., Ortega, John, Papi, Sara, Polák, Peter, Pospíšil, Adam, Pecina, Pavel, Salesky, Elizabeth, Sethiya, Nivedita, Sarkar, Balaram, Shi, Jiatong, Sikasote, Claytone, Sperber, Matthias, Stüker, Sebastian, Sudoh, Katsuhito, Thompson, Brian, Turchi, Marco, Waibel, Alex, Watanabe, Shinji, Wilken, Patrick, Zemánek, Petr, Zevallos, Rodolfo
This paper reports on the shared tasks organized by the 21st IWSLT Conference. The shared tasks address 7 scientific challenges in spoken language translation: simultaneous and offline translation, automatic subtitling and dubbing, speech-to-speech t
Externí odkaz:
http://arxiv.org/abs/2411.05088
Autor:
Mohamed, Youssef, Li, Runjia, Ahmad, Ibrahim Said, Haydarov, Kilichbek, Torr, Philip, Church, Kenneth Ward, Elhoseiny, Mohamed
Research in vision and language has made considerable progress thanks to benchmarks such as COCO. COCO captions focused on unambiguous facts in English; ArtEmis introduced subjective emotions and ArtELingo introduced some multilinguality (Chinese and
Externí odkaz:
http://arxiv.org/abs/2411.03769
Autor:
Abdulmumin, Idris, Mkhwanazi, Sthembiso, Mbooi, Mahlatse S., Muhammad, Shamsuddeen Hassan, Ahmad, Ibrahim Said, Putini, Neo, Mathebula, Miehleketo, Shingange, Matimba, Gwadabe, Tajuddeen, Marivate, Vukosi
This paper describes the corrections made to the FLORES evaluation (dev and devtest) dataset for four African languages, namely Hausa, Northern Sotho (Sepedi), Xitsonga, and isiZulu. The original dataset, though groundbreaking in its coverage of low-
Externí odkaz:
http://arxiv.org/abs/2409.00626
Large Language Models (LLMs) have gained widespread global adoption, showcasing advanced linguistic capabilities across multiple of languages. There is a growing interest in academia to use these models to simulate and study human behaviors. However,
Externí odkaz:
http://arxiv.org/abs/2408.02143
Autor:
Kuwanto, Garry, Urua, Eno-Abasi E., Amuok, Priscilla Amondi, Muhammad, Shamsuddeen Hassan, Aremu, Anuoluwapo, Otiende, Verrah, Nanyanga, Loice Emma, Nyoike, Teresiah W., Akpan, Aniefon D., Udouboh, Nsima Ab, Archibong, Idongesit Udeme, Moses, Idara Effiong, Ige, Ifeoluwatayo A., Ajibade, Benjamin, Awokoya, Olumide Benjamin, Abdulmumin, Idris, Aliyu, Saminu Mohammad, Iro, Ruqayya Nasir, Ahmad, Ibrahim Said, Smith, Deontae, Michaels, Praise-EL, Adelani, David Ifeoluwa, Wijaya, Derry Tanti, Andy, Anietie
Publikováno v:
Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024) 11349-11360
Low-resource languages often face challenges in acquiring high-quality language data due to the reliance on translation-based methods, which can introduce the translationese effect. This phenomenon results in translated sentences that lack fluency an
Externí odkaz:
http://arxiv.org/abs/2407.10152
Nollywood, based on the idea of Bollywood from India, is a series of outstanding movies that originate from Nigeria. Unfortunately, while the movies are in English, they are hard to understand for many native speakers due to the dialect of English th
Externí odkaz:
http://arxiv.org/abs/2407.02631
Large Language Models (LLMs), such as ChatGPT, are widely used to generate content for various purposes and audiences. However, these models may not reflect the cultural and emotional diversity of their users, especially for low-resource languages. I
Externí odkaz:
http://arxiv.org/abs/2406.19504
Autor:
Ousidhoum, Nedjma, Muhammad, Shamsuddeen Hassan, Abdalla, Mohamed, Abdulmumin, Idris, Ahmad, Ibrahim Said, Ahuja, Sanchit, Aji, Alham Fikri, Araujo, Vladimir, Beloucif, Meriem, De Kock, Christine, Hourrane, Oumaima, Shrivastava, Manish, Solorio, Thamar, Surange, Nirmal, Vishnubhotla, Krishnapriya, Yimam, Seid Muhie, Mohammad, Saif M.
We present the first shared task on Semantic Textual Relatedness (STR). While earlier shared tasks primarily focused on semantic similarity, we instead investigate the broader phenomenon of semantic relatedness across 14 languages: Afrikaans, Algeria
Externí odkaz:
http://arxiv.org/abs/2403.18933
Autor:
Ousidhoum, Nedjma, Muhammad, Shamsuddeen Hassan, Abdalla, Mohamed, Abdulmumin, Idris, Ahmad, Ibrahim Said, Ahuja, Sanchit, Aji, Alham Fikri, Araujo, Vladimir, Ayele, Abinew Ali, Baswani, Pavan, Beloucif, Meriem, Biemann, Chris, Bourhim, Sofia, De Kock, Christine, Dekebo, Genet Shanko, Hourrane, Oumaima, Kanumolu, Gopichand, Madasu, Lokesh, Rutunda, Samuel, Shrivastava, Manish, Solorio, Thamar, Surange, Nirmal, Tilaye, Hailegnaw Getaneh, Vishnubhotla, Krishnapriya, Winata, Genta, Yimam, Seid Muhie, Mohammad, Saif M.
Exploring and quantifying semantic relatedness is central to representing language and holds significant implications across various NLP tasks. While earlier NLP research primarily focused on semantic similarity, often within the English language con
Externí odkaz:
http://arxiv.org/abs/2402.08638