Results 1 to 10 of about 4,661 (255)
Word-length algorithm for language identification of under-resourced languages
Language identification is widely used in machine learning, text mining, information retrieval, and speech processing. Available techniques for solving the problem of language identification do require large amount of training text that are not available
Ali Selamat, Nicholas Akosu
doaj +4 more sources
Multilingual Sentiment Analysis for Under-Resourced Languages: A Systematic Review of the Landscape
Sentiment analysis automatically evaluates people’s opinions of products or services. It is an emerging research area with promising advancements in high-resource languages such as Indo-European languages (e.g. English).
Koena Ronny Mabokela +2 more
doaj +3 more sources
Eigentrigraphemes for under-resourced languages [PDF]
Grapheme-based modeling has an advantage over phone-based modeling in automatic speech recognition for under-resourced languages when a good dictionary is not available. Recently we proposed a new method for parameter estimation of context-dependent hidden Markov model (HMM) called eigentriphone modeling. Eigentriphone modeling outperforms conventional
Mak Brian K W, Tom Ko
exaly +3 more sources
Abstract Language technology is becoming increasingly important across a variety of application domains which have become common place in large, well-resourced languages. However, there is a danger that small, under-resourced languages are being increasingly pushed to the technological margins. Under-resourced languages face significant challenges in
Douglas Tudhope +2 more
exaly +3 more sources
Artificial intelligence translation in healthcare: an urgent call for evidence-informed policy frameworks [PDF]
The deployment of artificial intelligence (AI) translation tools in healthcare is accelerating rapidly, yet regulatory frameworks lag dangerously behind clinical practice.
Jonathan H Chen +8 more
doaj +2 more sources
Automatic speech recognition for under-resourced languages: A survey
Speech processing for under-resourced languages is an active field of research, which has experienced significant progress during the past decade. We propose, in this paper, a survey that focuses on automatic speech recognition (ASR) for these languages. The definition of under-resourced languages and the challenges associated to them are first defined.
Laurent Besacier +2 more
exaly +5 more sources
ASR for Under-Resourced Languages From Probabilistic Transcription
In many under-resourced languages it is possible to find text, and it is possible to find speech, but transcribed speech suitable for training automatic speech recognition ASR is unavailable. In the absence of native transcripts, this paper proposes the use of a probabilistic transcript: A probability mass function over possible phonetic transcripts of
Edmund Lalor +2 more
exaly +2 more sources
Spoken word corpus and dictionary definition for an African language [PDF]
The preservation of languages is critical to maintaining and strengthening the cultures and identities of communities, and this is especially true for under-resourced languages with a predominantly oral culture.
Wanjiku Nganga, Ikechukwu Achebe
doaj +3 more sources
Cross-Lingual Link Discovery for Under-Resourced Languages [PDF]
This article is based upon work from COST Action NexusLinguarum – "European network for Webcentered linguistic data science" (CA18209), supported by COST (European Cooperation in Science and Technology) www.cost.eu. This work is also partially supported by the I+D+i project PID2020-113903RBI00, funded by MCIN/AEI/10.13039/501100011033, by DGA/FEDER ...
Rosner, Michael +12 more
openaire +4 more sources
Evaluating Language Tools for Fifteen EU-official Under-resourced Languages [PDF]
This article presents the results of the evaluation campaign of language tools available for fifteen EU-official under-resourced languages. The evaluation was conducted within the MSC ITN CLEOPATRA action that aims at building the cross-lingual event-centric knowledge processing on top of the application of linguistic processing chains (LPCs) for at ...
Valio Antunes Alves, Diego Fernando +2 more
openaire +4 more sources

