... thetree.woodwind ["wUd wInd] n. a group of musical instruments, many of which are made of wood or usedto be made of wood, and many of which are played by blowing airacross a reed.woodwork ... loudly.yellow ["jEl o] 1.n. the color of aripe lemon or of the yolk of anegg. (Plural only for types andinstances.) 2.the adj. use of Q.(Comp: yellower; sup: yellowest.)3.adj. ... take the words (right) out of one’smouth→ true to one’sword→ twist someone’s words (around)theword 1. n. an order; a com-mand. (No plural. Treated as sin-gular.) 2. n. news; information.(No...
... the principle of soundfinancial management and the absence of any conflict of interest.Easier access toEU fundingEasier access toEU fundingEuropean CommissionOverview ofnew financial ... fundingBetter transparency and control Amounts available2007 -2013 Overview ofnew financial rules and funding opportunities 2007 -2013 New funds,betterrules(pp 3-16)(pp 17-18)(pp 19-20)(pp ... specific groups of people.NGOs' size as well as the scope of their activities can vary considerably.Some NGOs consist of a rather limited number of persons; others mayhave thousands of members...
... selection of all verbs from a dictionary. (2) Extraction of a substructure, eg extracting a bilingual dictionary from a trilingual. (3) Inversion, eg of an English-French dictionary ... to the sum of the number of elementary information types and the number of set components in its entry structure. For example, an English-French dictionary whose entries consist of an English ... Sdrasset for the suggestion of the theme and their help, and to the authors of the DRs for their kind permission of use. References Bl~isi C. & Koch H. (1992), Dictionary Entry Parsing Using...
... follows:4IDF(w) = logTotal # of Japanese web pages# of hits of w(2)Fundamental words are assigned with their do-mains and IDFs by the domain dictionary, whilethose for unknown words are dynamically ... domain estimation of unknown words. In theBlog categorization, the method achieved the accu-racy of 94%, and the domain estimation of unknown words achieved the accuracy of 77%.ReferencesSteven ... collecttraining data using a large amount of unlabeled dataand a small amount of seed information. However,the novelty of this study is the on-the-fly estimation of unknown words domains. This feature is...