Headedness in Exocentric Compounds and Morphological Productivity

2021 ◽  
Vol 111 ◽  
pp. 19-36
Author(s):  
Jaehoon Choi
Keyword(s):  
Morphological Productivity

scholarly journals Joint Semantic Synthesis and Morphological Analysis of the Derived Word

2018 ◽  
Vol 6 ◽  
pp. 33-48 ◽  
Author(s):  
Ryan Cotterell ◽  
Hinrich Schütze
Keyword(s):  
Neural Networks ◽  
Recurrent Neural Networks ◽  
Probabilistic Model ◽  
Morphological Analysis ◽  
Semantic Representation ◽  
English Word ◽  
Word Formation ◽  
Additive Models ◽  
Segmentation Accuracy ◽  
Morphological Productivity

Much like sentences are composed of words, words themselves are composed of smaller units. For example, the English word questionably can be analyzed as question+ able+ ly. However, this structural decomposition of the word does not directly give us a semantic representation of the word’s meaning. Since morphology obeys the principle of compositionality, the semantics of the word can be systematically derived from the meaning of its parts. In this work, we propose a novel probabilistic model of word formation that captures both the analysis of a word w into its constituent segments and the synthesis of the meaning of w from the meanings of those segments. Our model jointly learns to segment words into morphemes and compose distributional semantic vectors of those morphemes. We experiment with the model on English CELEX data and German DErivBase (Zeller et al., 2013) data. We show that jointly modeling semantics increases both segmentation accuracy and morpheme F1 by between 3% and 5%. Additionally, we investigate different models of vector composition, showing that recurrent neural networks yield an improvement over simple additive models. Finally, we study the degree to which the representations correspond to a linguist’s notion of morphological productivity.

Transdisciplinary Aspects of Morphological Productivity

2008 ◽  
Vol 16 (4) ◽  
pp. 457-466
Author(s):  
Wolfgang U. Dressler
Keyword(s):  
Language Acquisition ◽  
First Language ◽  
Word Formation ◽  
Second Step ◽  
First Language Acquisition ◽  
Step Model ◽  
Morphological Productivity ◽  
Rule Application ◽  
Online Tests

This contribution presents a model of morphological productivity that allows some points of comparison with the concept of productivity in economics and in other disciplines. It is a two-step model: in the first step, degrees of productivity of morphological rules are established on the so-called syntagmatic axis of language, i.e. how a word is changed in its linear make-up, e.g. English boy becomes boy-s in the plural or is changed to boy-friend, boy-hood, boy-ish in word formation. In the second step, rule application is compared on the so-called paradigmatic axis with possibly competing productive rules, e.g. in adjective formation from nouns, suffixation with -ish (e.g. boy-ish), is compared with suffixations with -y (e.g. fier-y), -ly (e.g. friend-ly), -ic (e.g. syntact-ic), -ical (e.g. morpholog-ical). Then supportive psycholinguistic evidence is presented from online tests and first language acquisition, an area of crucial evidence for linguistic theories, since any constructs of a model must be learnable by children.

Mesure de la productivité morphologique des créoles : au-delà des méthodes quantitatives

2011 ◽  
Vol 56 (1) ◽  
pp. 61-86
Author(s):  
Anne-Marie Brousseau
Keyword(s):  
Morphological Productivity ◽  
Large Corpus

AbstractMost recent measures of morphological productivity are reliable only if they are based on a large corpus of the language. This article presents a detailed demonstration of a method for establishing an inventory of productive affixes in a language for which a large corpus is not available. This method evaluates the productivity of an affix first and foremost on the basis of its threshold of profitability (the number of different words derived via the affix) in correlation with other diagnostics to bolster reliability. These other diagnostics are the semantic and phonological transparency of derived words and the decomposability of such words. The application of the method is illustrated step-by-step with data from St. Lucian.

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