Results 261 to 270 of about 45,674 (282)
Some of the next articles are maybe not open access.
The LREMap for under-resourced languages
2014abstract
Riccardo Del Gratta +4 more
openaire +3 more sources
Automatic Extraction and Application of Language Descriptions for Under-Resourced Languages
2022Languages of our world are amazingly diverse, consisting of varied and complex systems of word, phrase, sentence construction, and vocabulary, to name a few. Understanding these systems is critical not only for language communication, but they also drive the design and development of language technologies.
openaire +1 more source
Documenting Under-resourced Languages of Sarawak, Borneo
Journal of Asian Linguistic AnthropologyWithin the last five decades, documentary linguistics has progressed as a field in its own right, and less as ancillary to descriptive linguistics, or as exclusively in reference to endangered languages (Himmelmann 1998; Austin 2015). This paper discusses the documentation of under-resourced languages.
Norazuna Norahim, Hardyman Badawi
openaire +1 more source
Language Identification for Under-Resourced Languages in the Basque Context
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 +3 more
openaire +1 more source
Language Modeling for Speech Analytics in Under-Resourced Languages
Interspeech 2020, 2020Simone Wills +3 more
openaire +1 more source
Keynote talk — 2: Developing language resources for under-resourced languages in Indonesia
2016 International Conference on Knowledge Creation and Intelligent Computing (KCIC), 2016Language resources plays a key role in human language technology especially NLP and computational linguistic works such as machine translation, sentiment analysis, automatic sound recognition, and text-tospeech. Many NLP applications has been built based on existing language resources.
openaire +1 more source
Automatic speech recognition for under-resourced languages: A survey
Speech Communication, 2014Laurent Besacier +2 more
exaly
A smartphone-based ASR data collection tool for under-resourced languages
Speech Communication, 2014Jaco Badenhorst +2 more
exaly
Parsing under-resourced languages: Cross-lingual transfer strategies for Indian languages
2014Key to fast adaptation of language technologies for any language hinges on the availability of fundamental tools and resources such as monolingual/parallel corpora, annotated corpora, part-of-speech (POS) taggers, parsers and so on. The languages which lack those fundamental resources are often referred as under-resourced languages.
openaire +2 more sources