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    • Simov, Kiril (13)
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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 13 of 13 1 CLaRK System - XML-based system for Corpora Development Simov, Kiril; Simov, Alex; Kouylekov, Milen. - : Linguistic Modeling Department, IPP, Bulgarian Academy of Sciences, 2014 BASE Show details 2 BulTreeBank Stopword List Simov, Kiril. - 2014 BASE Show details 3 BulTreeBank Text Archive Simov, Kiril. - 2014 BASE Show details 4 Bulgarian-Croatian Comparable Corpus Tadić, Marko; Simov, Kiril. - 2014 BASE Show details 5 CLaRK System - an XML-based system for Corpora Development Simov, Kiril; Simov, Alex; Kouylekov, Milen. - : Linguistic Modeling Department, IPP, Bulgarian Academy of Sciences, 2014 BASE Show details 6 BulTreeBank Tokenizer Simov, Kiril. - : Linguistic Modeling Department, IPP, Bulgarian Academy of Sciences, 2014 BASE Show details 7 BulTreeBank POS Corpus Simov, Kiril. - 2014 BASE Show details 8 BulTreeBank Simov, Kiril. - 2014 BASE Show details 9 BulTreeBank Frequency List Simov, Kiril. - 2014 BASE Show details 10 Bulgarian CLEF Corpus Simov, Kiril. - 2014 BASE Show details 11 BulTreeBank Morphosyntactic Corpus Simov, Kiril. - 2014 BASE Show details 12 BulTreeBank Morphosyntactic Disambiguator Simov, Kiril; Osenova, Petya; Simov, Alex. - : Linguistic Modeling Department, IPP, Bulgarian Academy of Sciences, 2014 BASE Show details 13 BulTreeBank Morphological Analyzer Simov, Kiril; Osenova, Petya. - : Linguistic Modeling Department, IPP, Bulgarian Academy of Sciences, 2014 Abstract: It is used morphological lexicon of Bulgarian (100 000 lemmas) compiled as a finite-state automaton in CLaRK System. It requires the text to be first tokenized and it is applied in each token. Includes also guessers for unknown words and Named Entities gazetteers. If the corresponding resources are available for a different language, then it can be tuned to it. URL: http://hdl.handle.net/11372/LRT-1241 BASE Hide details

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