Search Results for "readme"

bnf2xml a simple BNF parser that takes text as input, searches according to a BNF query file, and outputs text marked up by the xml labels that show context. bnf2xml is as simple to use as any text binary ie, awk(1) grep(1). bnf2xml does not require C API because it outputs simple xml labeling. README is visible on file dl page. EXAMPLE: $ echo "hi" | bnf2xml patternfile <word><alph>h</alph><alph>i</alph></word> or <gas>hydrogen iodide</gas> patternfile says how to find needle in haystack and what to show, ie: <alph> ::= a | b | c | d ... <word> ::= <alph>+ bnf2xml is a top down recursive parser. Unlike buttom up parsers like gcc(1) or some top downs, bnf2xml is completely unambiguous / resolves ALL conflicts. ...

...accuracy: 95.25%; precision: 85.70%; recall: 76.20%; FB1: 80.67 Using GATE Corpus Benchmark: Strict: P: 0.65 R: 0.73 F1: 0.69 Lenient: P: 0.74 R: 0.84 F1: 0.78 The details of how to reproduce evaluation, see README. To use standalone version for tagging download DrugExtractionStandalone.tar.gz from Files.

...It focuses on the inflectional morphology of English, including the plural form of nouns, the conjugations of verbs, and the comparative and superlative form of adjectives and adverbs. README: https://sourceforge.net/projects/biolemmatizer/files/ The BioLemmatizer 1.2 release adds an optional functionality to normalize British English spellings into American English spellings and then retrieve corresponding lemmas. If you use the BioLemmatizer to support academic research, please cite the following paper: Haibin Liu, Tom Christiansen, William A Baumgartner Jr, and Karin Verspoor BioLemmatizer: a lemmatization tool for morphological processing of biomedical text Journal of Biomedical Semantics 2012, 3:3.

...At the moment, BuckTagger is not complete; it can only handle input that is: - Uninflected - In lexical form, i.e., no clitics or affixes. - A Perfect or Imperfect Verb - Preferably the first and before-last letters are diacritized/vocalized. The interface is in Arabic. See the README for more details. There is much room for development. Feel free to comment.