Results 41 to 50 of about 37,865 (281)

The Usefulness of Imperfect Speech Data for ASR Development in Low-Resource Languages

Information, 2019
When the National Centre for Human Language Technology (NCHLT) Speech corpus was released, it created various opportunities for speech technology development in the 11 official, but critically under-resourced, languages of South Africa.
Jaco Badenhorst, Febe de Wet
doaj   +1 more source

Sharing high-quality language resources in the legal domain to develop neural machine translation for under-resourced European languages

Revista de Llengua i Dret - Journal of Language and Law, 2022
This article reports some of the main achievements of the EU-funded PRINCIPLE project in collecting high-quality language resources (LRs) in the legal domain for four under-resourced European languages, namely Croatian, Irish, Norwegian and Icelandic ...
Federico Gaspari, Petra Bago, Sheila Castilho, Edoardo Celeste, Jane Dunne, Níels Rúnar Gíslason, Andre Kåsen, Filip Klubička, Gauti Kristmannsson, Helen McHugh, Róisín Moran, Órla Ní Loinsigh, Jon Arild Olsen, Carla Parra Escartín, Akshai Ramesh, Natalia Resende, Páraic Sheridan, Andy Way   +17 more
doaj   +1 more source

AfriMTE and AfriCOMET: Enhancing COMET to Embrace Under-resourced African Languages [PDF]

, 2023
Despite the recent progress on scaling multilingual machine translation (MT) to several under-resourced African languages, accurately measuring this progress remains challenging, since evaluation is often performed on n-gram matching metrics such as BLEU,
Masiak, Marek, Wang, Jiayi, Mokayed, Hamam, Al-Azzawi, Sana, Rei, Ricardo, Bourhim, Sofia, Momo, Lyse Naomi Wamba, Mohamed, Muhidin, Mwase, Christine, Omotayo, Abdul-Hakeem, Moore, Stephen E., Shode, Iyanuoluwa, Brian, Sam, Adelani, David Ifeoluwa, Adewumi, Tosin, Obiefuna, Nnaemeka, Ajao, Simbiat, Opoku, Bernard, Yuehgoh, Foutse, Anigri, Salma El, Chukwuneke, Chiamaka, Mangwana, Thabiso, Afolabi, Abeeb, Lu, Yao, Ogayo, Perez, Ndolela, Lolwethu, Kimotho, Wangari, Hourrane, Oumaima, Abdullahi, Saheed S., Carpuat, Marine, Muhammad, Shamsuddeen Hassan, Iro, Ruqayya Nasir, Otiende, Verrah Akinyi, Ojo, Jessica, Bukula, Andiswa, Briakou, Eleftheria, Olatoye, Temitayo, Hassan, Ayinde, Aremu, Anuoluwapo, Awoyomi, Oluwabusayo Olufunke, Ogbu, Onyekachi Raphael, Osei, Salomey, Macharm, Ricky, Njoroge, Samuel, Kimotho, Wangui, Mohamed, Shafie Abdi, Siro, Clemencia, Muchiri, Eric, He, Xuanli, Ochieng, Millicent, Abolade, Daud, Alkhaled, Lama, Mbonu, Chinedu Emmanuel, Etori, Naome A., Akinjobi, Zainab, Stenetorp, Pontus, Agrawal, Sweta, Sari, Sakayo Toadoum   +57 more
core   +1 more source

Boosting under-resourced speech recognizers by exploiting out of language data - case study on Afrikaans [PDF]

, 2014
Under-resourced speech recognizers may benefit from data in languages other than the target language. In this paper, we boost the performance of an Afrikaans speech recognizer by using already available data from other languages. To suc-cessfully exploit
Imseng, David, Herve ́ Bourlard, Bourlard, Hervé, Garner, Philip N., David Imseng, Philip N. Garner   +5 more
core  

Lexicon plus TX: Rapid construction of a multilingual lexicon with under-resourced languages [PDF]

, 2013
Most efforts at automatically creating multilingual lexicons require input lexical resources with rich content (e.g. semantic networks, domain codes, semantic categories) or large corpora.
Enya, Kong Tang, Soon, Lay Ki, Lim, Tek Yong, Ranaivo-Malancon, Bali, Bali, Ranaivo-Malançon, Lim, Lian Tze, Tek, Yong Lim, Lian, Tze Lim, Lay-Ki, Soon, Tang, Enya Kong   +9 more
core   +1 more source

Supporting Survivor‐Centered Care Through Digital Health Integration

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Survivors of childhood cancer face barriers to receiving guideline‐based, long‐term follow‐up care. Two digital tools, Passport for Care (PFC) and Cancer SurvivorLink (SurvivorLink), address complementary gaps by enabling tailored survivorship care plan (SCP) generation, updating, storage, and sharing.
Jordan G. Marchak, Rebecca Williamson‐Lewis, Michael O'Connor, Michael Palgon, Yu‐Ra Kim, Michael Schuckenbrock, Paula Edwards, Abraham Mendoza, Anthony Adams, Brian Arriaga‐Solis, Justin Parker, Harry Tinoco‐Giraldo, Jason King, C. Michael Fordis, Karen E. Effinger, Maria Monica Gramatges   +15 more
wiley   +1 more source

Dynamic Sampling-Based Meta-Learning Using Multilingual Acoustic Data for Under-Resourced Speech Recognition

IEEE Access
Under-resourced automatic speech recognition (ASR) has become an active field of research and has experienced significant progress during the past decade.
I-Ting Hsieh, Chung-Hsien Wu, Zhe-Hong Zhao   +2 more
doaj   +1 more source

A primer on getting neologisms from foreign languages to under-resourced languages

CoRR, 2023
Mainly due to lack of support, most under-resourced languages have a reduced lexicon in most realms and domains of increasing importance, then their speakers need to significantly augment it. Although neologisms should arise from the languages themselves, external sources are widely accepted.
openaire   +2 more sources

Infection Control Practices for Vascular Access Management in Hemodialysis: Results From a Nationwide Survey of Japanese National University Hospitals

Therapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Introduction Bloodstream infections due to repeated vascular access (VA) puncture and circuit connections remain major concerns in hemodialysis. Therefore, we examined current practices for glove, disinfectant, and personal protective equipment (PPE) use according to VA type in national university hospitals in Japan.
Aiko Yamada, Makoto Harada, Tadahiko Kikugawa, Takeshi Nakata, Koji Hashimoto, Tsuneo Konta, Yuji Kamijo   +6 more
wiley   +1 more source

Short Text Language Identification for Under Resourced Languages

CoRR, 2019
Presented at NeurIPS 2019 Workshop on Machine Learning for the Developing ...
openaire   +2 more sources