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    <abstract>In this paper we describe a language recognition algorithm for multilingual documents that is based on mixed-order n-grams, Markov chains, maximum likelihood, and dynamic programming. We present the results of an experimental study that showed that the performance of this algorithm has practical value.</abstract>
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%0 Conference Proceedings
%T Multilingual document language recognition for creating corpora
%A Ludovik, Yevgeny
%A Zacharski, Ron
%S Proceedings of Machine Translation Summit VII
%D 1999
%8 sep 13 17
%C Singapore, Singapore
%F ludovik-zacharski-1999-multilingual
%X In this paper we describe a language recognition algorithm for multilingual documents that is based on mixed-order n-grams, Markov chains, maximum likelihood, and dynamic programming. We present the results of an experimental study that showed that the performance of this algorithm has practical value.
%U https://aclanthology.org/1999.mtsummit-1.46
%P 317-323

Markdown (Informal)

[Multilingual document language recognition for creating corpora](https://aclanthology.org/1999.mtsummit-1.46) (Ludovik & Zacharski, MTSummit 1999)

• Multilingual document language recognition for creating corpora (Ludovik & Zacharski, MTSummit 1999)

ACL

• Yevgeny Ludovik and Ron Zacharski. 1999. Multilingual document language recognition for creating corpora. In Proceedings of Machine Translation Summit VII, pages 317–323, Singapore, Singapore.