Results 11 to 20 of about 9,795,875 (280)
Cross-Lingual Link Discovery for Under-Resourced Languages [PDF]
Proceedings of the Language Resources and Evaluation Conference, 2022 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
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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 Kan-Wing Mak
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Acoustic Modelling for Under-Resourced Languages [PDF]
, 2009 Automatic speech recognition systems have so far been developed only for very few languages out of the 4,000-7,000 existing ones. In this thesis we examine methods to rapidly create acoustic models in new, possibly under-resourced languages, in a time and cost effective manner.
Stüker, Sebastian
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The LREMap for under-resourced languages
, 2014 abstract
Riccardo Del Gratta +4 more
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Introduction to the special issue on processing under-resourced languages [PDF]
Speech Communication, 2014 School of Interdisciplinary Research and Graduate StudiesUniversity of South AfricaPretoriaSouth Africa Institute for Computational Linguistics A.
Laurent Besacier +3 more
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Improving Wordnets for Under-Resourced Languages Using Machine Translation
Proceedings of the 9th Global Wordnet Conference, 2018 Wordnets are extensively used in natural language processing, but the current approaches for manually building a wordnet from scratch involves large research groups for a long period of time, which are typically not available for under-resourced languages.
Chakravarthi, Bharathi Raja +2 more
openaire +3 more sources
Bilingual lexicon induction across orthographically-distinct under-resourced Dravidian languages [PDF]
, 2020 Bilingual lexicons are a vital tool for under-resourced languages and recent state-of-the-art approaches to this leverage pretrained monolingual word embeddings using supervised or semi- supervised approaches.
Rajasekaran, Navaneethan +12 more
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Evaluating Language Tools for Fifteen EU-official Under-resourced Languages [PDF]
CoRR, 2020 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
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Modeling under-resourced languages for speech recognition [PDF]
Language Resources and Evaluation, 2016 One particular problem in large vocabulary continuous speech recognition for low-resourced languages is finding relevant training data for the statistical language models. Large amount of data is required, because models should estimate the probability for all possible word sequences.
Mikko Kurimo +5 more
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RBMT as an alternative to SMT for under-resourced languages [PDF]
Proceedings of the Fifth Workshop on South and Southeast Asian Natural Language Processing, 2014 Despite SMT (Statistical Machine Translation) recently revolutionised MT for major language pairs, when addressing under-resourced and, to some extent, mildly-resourced languages, it still faces some difficulties such as the need of important quantities of parallel texts, the limited guaranty of the quality, etc. We thus speculate that RBMT (Rule Based
Guillaume de Malézieux +2 more
openaire +2 more sources