Contextual conditions on stem alternations Illustrations from the Spanish conjugation*
نویسنده
چکیده
This paper looks at the analysis of stem alternations: a type of non-affixal morphological change. Alternations of this type are controversial because they look in principle like they can be analyzed either with distinct stem forms in memory, or with (morpho)phonological rules that derive alternants from a single underlying form. I argue that the locality conditions on contextual allomorphy provide an answer to part of this controversy. It is shown that certain stem alternations in Spanish verbs–diphthongization, as in e.g. pensar/pienso (‘think’); raising, as in e.g. pedir/pido (‘ask’) – cannot be treated with stored stems, because the alternations do not occur under the locality conditions that apply to contextual allomorphy. These alternations must be treated (morpho) phonologically. The implications of this view are explored; this includes a conjecture that reclassifies different types of “morpheme specific” alternations in the grammar.
منابع مشابه
Stem alternations and stem distributions
The analysis of stem alternations (e.g. sang as past of sing) is controversial; there is a lasting tension between morphophonological theories (sang is derived from sing by rule) and stem storage theories (sang and sing are stored allomorphs). This paper argues that in many cases of stem alternation (e.g., Spanish diphthongization) the locality conditions on contextual allomorphy provide crucia...
متن کاملCan Alternations Be Learned? A Machine Learning Approach To Romanian Verb Conjugation
In this paper we look at the conjugation of the Romanian verb, in particular, at its irregularities, from a machine learning point of view. Our attempt is to predict the presence or absence of any alternation in the stem (apophony), using n-gram representations of the infinitive. We combine formal labelling mechanisms with learning methods in order to build a general conjugational model.
متن کاملSequence Tagging for Verb Conjugation in Romanian
Verbs in Romanian sometimes manifest local irregularities in the form of alternating letters. We present a sequence tagging based method for learning stem alternations and ending sequences. Supervised training is based on a morphological dictionary, with a few regular expression paradigms encoded by hand. Our best model improves upon previous machine learning approaches to Romanian verb conjuga...
متن کاملModeling of Activated Carbon Preparation from Spanish Anthracite Based on ANFIS Structure
Carbon nanostructures are famous structures which are used in several industries such as separation, treatment, energy storage (i.e. methane and hydrogen storage), etc. A successful modeling of activated carbon preparation is very important in saving time and money. There are some attempts to achieve the appropriate theoretical modeling of activated carbon preparation but most of them were almo...
متن کاملStem alternations and multiple exponence
In a canonical inflectional paradigm, inflectional affixes mark distinctions in morphosyntactic value, while the lexical stem remains invariant. But stems are known to alternate too, constituting a system of inflectional marking operating according to parameters which typically differ from those of the affixal system, and so represent a distinct object of inquiry. Cross-linguistically, we still...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2012