ILSP Sentence Splitter and Tokenizer Sample Clauses

ILSP Sentence Splitter and Tokenizer. ILSP Sentence Splitter and boundaries in Greek texts. Tokenizer (ILSP SST) identifies paragraph, sentence and token Identifying token and sentence boundaries involves resolving ambiguity in punctuation use since structurally recognizable tokens may contain ambiguous punctuation; this may be the case for numbers, alphanumeric references, dates, acronyms and abbreviations. Following common practice, the tokenizer makes use of a regular expression definition of words, coupled with precompiled, semi-automatically collected gazetteers of abbreviations. At a final stage, the tool detects the type of tokens, classifying them in one of the categories of Table 18. TOKEN TYPE Description Example TOK The default token type DATE Date 21-10-2008, 09/12/10 ENUM Enumerators 1., 1.α., i. CPUNCT Closing punctuation ), », ], ’ OPUNCT Opening punct. (, «, [ PTERM Terminal punctutation ? ; (GREEK QUESTION MARK) !... ?... PTERM_P Potentially terminal punctutation . ... : ! ; (SEMI COLON) PUNCT Other punctutation * - DIG Digit 1.1000, 1.234,567.890, 1,234.567,890 INIT Initial Μιλτ. NBABBR Abbreviations that cannot appear at the end of a sentence κ.(ύριος/α), κκ.(ύριοι), σ.(ελίδα) ABBR Abbreviation κλπ, κοκ, ΟΗΕ, δολ., δρχ Table 18 Token types recognized by ILSP SST URL xxxx://xxx.xxxx.xx soaplab2-axis/#ilsp.ilsp_sst_row WSDL xxxx://xxx.xxxx.xx/soaplab2- axis/typed/services/ilsp.ilsp_sst?wsdl PANACEA Catalogue Entry xxxx://xxxxxxxx.xxxx.org/services/131 PANACEA MyExperiment Workflow(s) using the WS xxxx://xxxxxxxxxxxx.xxxx.org/workflows/20 (ILSP Basic NLP Tools) Table 19 WS Details for ILSP SST
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Related to ILSP Sentence Splitter and Tokenizer

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