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Before strikes back
An *ABA constraint on temporal expressions
Syntax and semantics of spatial P 2008 Taraldsen, Tarald. 2010. The nanosyntax of Nguni noun class prefixes and concords
section, a dorsal segment in initial position of the second lexical root is not subject to debuccalisation. Data illustrating this are shown in (45), (46), (47) and (48). The word in (27c) also appears to have a reduplicant prefix. Prefixes of all kinds do
, e.g. Please come in (the room) , You should climb up (the tree) , Get out (of here)!, When are you going to stop by (my place)? . One might object, as an anonymous reviewer has, that verb prefixes in many languages (such as German
, summarized in Table 7 . The majority of these affixes must be lexically specified as to which roots they attach to, and there is no predictable phonological distribution. This holds for all of the prefixes, of which there are at least six (a). Of these
), suffice it to say that simple imperfectives denote activities, which can be turned into perfective accomplishments by the addition of a perfectivizing prefix. The perfective can, in turn, be imperfectivized yielding iterative semantics (so
cases. I exemplify it using his data on the behaviour of negative prefix in in European Portuguese. (i) In vowel-initial words, the prefix is realized as [in]: [in] admissivel ‘inadmissible’. (ii) In single-consonant-initial words, the prefix is
– 134 . Hilmarsson , Jörundur 1991 . The Nasal Prefixes in Tocharian. A Study in Word Formation . Reykjavík: Málvísindastofnun Háskóla Íslands . Hilmarsson , Jörundur 1996 . Materials for a Tocharian Historical and Etymological Dictionary
-igekötő szórend elsajátítási folyamata a gyereknyelvben [The acquisition of the verb-verbal prefix word order in child language]. Nyelvtudományi Közlemények 105. 218–242. Tóth Ildikó. Az ige
Wiltschko . 2014 . The internal syntax of Shona class prefixes . Language Sciences 43 . 18 – 46 . DeLancey , Scott . 1981 . An interpretation of split ergativity and
suggestion, the remaining part of the MT output is adapted accordingly. In this regard, DeepL is comparable to the “prefix-constrained” (Wuebker et al. 2016) MT architecture employed, for example, in the combined translation memory and machine translation
