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Eigentrigraphemes for under-resourced languages [PDF]
Speech Communication, 2014 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
Tom Ko, Brian Mak
exaly +6 more sources
Natural language processing for under-resourced languages: Developing a Welsh natural language toolkit [PDF]
Computer Speech and Language, 2022 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
Daniel Cunliffe +2 more
exaly +4 more sources
Automatic speech recognition for under-resourced languages: A survey
Speech Communication, 2014 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 +7 more sources
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Network-Enabled Keyword Extraction for Under-Resourced Languages
Lecture Notes in Computer Science, 2017In this paper we discuss advantages of network- enabled keyword extraction from texts in under- resourced languages. Network-enabled methods are shortly introduced, while focus of the paper is placed on discussion of difficulties that methods must overcome when dealing with content in under-resourced languages (mainly exhibit as a lack of natural ...
Slobodan Béliga +1 more
exaly +3 more sources
Grammar Induction for Under-Resourced Languages: The Case of Ch’ol
Lecture Notes in Computer Science, 2023Gemma Bel-Enguix, Bel-Enguix Gemma
exaly +2 more sources
Language Identification for Under-Resourced Languages in the Basque Context
Advances in Intelligent and Soft Computing, 2011Automatic Speech Recognition (ASR) is a broad research area that absorbs many efforts from the research community. The interest on Multilingual Systems arouses in the Basque Country because there are three official languages (Basque, Spanish, and French), and there is much linguistic interaction among them, even if Basque has very different roots than ...
Nora Barroso +2 more
exaly +2 more sources
ASR and Translation for Under-Resourced Languages
2006 IEEE International Conference on Acoustics Speed and Signal Processing Proceedings, 2006There are more than 6000 languages in the world but only a small number possess the resources required for implementation of human language technologies (HLT). Thus, HLT are mostly concerned by languages for which large resources are available or which have suddenly become of interest because of the economic or political scene.
Laurent Besacier +3 more
openaire +1 more source
Semantic representations for under-resourced languages
Proceedings of the South African Institute of Computer Scientists and Information Technologists 2019, 2019Distributional semantics studies methods for learning semantic representation of natural text. The semantic similarity between words and documents can be derived from this presentation which leads to other practical NLP applications such as collaborative filtering, aspect-based sentiment analysis, intent classification for chatbots and machine ...
Jocelyn Mazarura +2 more
openaire +1 more source
Automatic Speech Recognition for Under-Resourced Languages: Application to Vietnamese Language
IEEE Transactions on Audio Speech and Language Processing, 2009This paper presents our work in automatic speech recognition (ASR) in the context of under-resourced languages with application to Vietnamese. Different techniques for bootstrapping acoustic models are presented. First, we present the use of acoustic-phonetic unit distances and the potential of crosslingual acoustic modeling for under-resourced ...
Laurent Besacier
exaly +2 more sources
ASR for Under-Resourced Languages From Probabilistic Transcription
IEEE/ACM Transactions on Audio Speech and Language Processing, 2017 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
Preethi Jyothi +2 more
exaly +2 more sources