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Text-based language identification of multilingual names

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dc.contributor.author Giwa, O
dc.contributor.author Davel, MH
dc.date.accessioned 2017-09-08T07:05:39Z
dc.date.available 2017-09-08T07:05:39Z
dc.date.issued 2015-11
dc.identifier.citation Giwa, O and Davel, MH. 2015. Text-based language identification of multilingual names. 2015 Pattern Recognition Association of South Africa and Robotics and Mechatronics International Conference (PRASA-RobMech), 26-27 November 2015, Port Elizabeth, South Africa, 6pp. en_US
dc.identifier.uri http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=7359517
dc.identifier.uri http://hdl.handle.net/10204/9548
dc.description Copyright: 2015 IEEE. Due to copyright restrictions, the attached PDF file only contains the abstract of the full text item. For access to the full text, kindly consult the publisher's website. en_US
dc.description.abstract Text-based language identification (T-LID) of isolated words has been shown to be useful for various speech processing tasks, including pronunciation modelling and data categorisation. When the words to be categorised are proper names, the task becomes more difficult: not only do proper names often have idiosyncratic spellings, they are also often considered to be multilingual. We, therefore, investigate how an existing T-LID technique can be adapted to perform multilingual word classification. That is, given a proper name, which may be either mono- or multilingual, we aim to determine how accurately we can predict how many possible source languages the word has, and what they are. Using a Joint Sequence Modelbased approach to T-LID and the SADE corpus – a newly developed proper names corpus of South African names – we experiment with different approaches to multilingual T-LID. We compare posterior-based and likelihood-based methods and obtain promising results on a challenging task. en_US
dc.language.iso en en_US
dc.publisher IEEE en_US
dc.relation.ispartofseries Worklist;16491
dc.subject Text-based language identification en_US
dc.subject T-LID en_US
dc.subject Multilingual names en_US
dc.subject Speech technologies en_US
dc.title Text-based language identification of multilingual names en_US
dc.type Conference Presentation en_US


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