PA153 Natural Language Processing
08 - Lexicographic tools and computational lexicography Karel Pala, Adam Rambousek
Centrum ZPJ, FI MU, Brno
- 16. listopadu 2015
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PA153 Natural Language Processing 08 - Lexicographic tools and - - PowerPoint PPT Presentation
PA153 Natural Language Processing 08 - Lexicographic tools and computational lexicography Karel Pala, Adam Rambousek Centrum ZPJ, FI MU, Brno 16. listopadu 2015 Karel Pala, Adam Rambousek PA153 NLP Computational Lexicography 1 / 19
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◮ the activity or occupation of compiling dictionaries (Oxford d.) ◮ the editing or making of a dictionary (Merriam-Webster d.) ◮ the job of writing a dictionary (Macmillan d.)
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◮ Sumerian – Ebla language
◮ 1857, Philological Society, R. C. Trench, criticizing dictionary ◮ 1879, James A. H. Murray appointed chief editor ◮ 1882-1928, published in 12 volumes, 15 487 pages, 240 000 entries Karel Pala, Adam Rambousek PA153 NLP Computational Lexicography 4 / 19
◮ volunteers gathering supporting materials ◮ excerpts from novels, poems, technical books, journals ◮ Pˇ
◮ 10 824 pages, 250 000 entries ◮ quotes by ”unwanted authors”censored (Karel ˇ
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◮ 2005–2010, lexical database (Praled) ◮ 2012–2016, applied research ◮ planned 120-150 thousands ◮ finished A (2700) to be published in December, B,C in 2017 ◮ mainly electronic (web, mobile) Karel Pala, Adam Rambousek PA153 NLP Computational Lexicography 6 / 19
◮ 1st with limited definition dictionary, checked automatically ◮ special coding for NLP research
◮ contemporary corpus (Bank of English) ◮ 1987, Collins COBUILD English Language Dictionary ◮ 1st dictionary based on corpus data ◮ new definition style – full sentence ◮ If a person, animal, or other living thing is killed, something or
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◮ list of elements and attributes, and their relations ◮ no content checking ◮ <!ELEMENT meaning (definition, usage+)> ◮ <!ATTLIST meaning number CDATA #REQUIRED>
◮ description of XML document structure and content, schema itself is
◮ elements, attributes, structure ◮ possibility to define custom content types (e.g. postal address) ◮ content checking (e.g. number range, regular expressions, allowed
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◮ other XML markup, plain text, HTML, LaTeX, PDF
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◮ platform to build dictionary applications ◮ client-server, core libraries, specialized modules ◮ DEBDict, DEBVisDic, Internetov´
◮ http://deb.fi.muni.cz Karel Pala, Adam Rambousek PA153 NLP Computational Lexicography 14 / 19
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◮ (recently) usage examples from corpus ◮ grammar ◮ valences, patterns ◮ language style, usage, region... ◮ word relations
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◮ noun singular, verb infinitive ◮ word parts, collocations
◮ checked by editing software ◮ easier orientation for the reader Karel Pala, Adam Rambousek PA153 NLP Computational Lexicography 18 / 19
◮ presentation space
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