The Role of Modifier and Head Properties in Predicting the Compositionality of English and German Noun-Noun Compounds: A Vector-Space Perspective
نویسندگان
چکیده
In this paper, we explore the role of constituent properties in English and German noun-noun compounds (corpus frequencies of the compounds and their constituents; productivity and ambiguity of the constituents; and semantic relations between the constituents), when predicting the degrees of compositionality of the compounds within a vector space model. The results demonstrate that the empirical and semantic properties of the compounds and the head nouns play a significant role.
منابع مشابه
Exploring Vector Space Models to Predict the Compositionality of German Noun-Noun Compounds
This paper explores two hypotheses regarding vector space models that predict the compositionality of German noun-noun compounds: (1) Against our intuition, we demonstrate that window-based rather than syntax-based distributional features perform better predictions, and that not adjectives or verbs but nouns represent the most salient part-of-speech. Our overall best result is state-of-the-art,...
متن کاملHow Naked is the Naked Truth? A Multilingual Lexicon of Nominal Compound Compositionality
We introduce a new multilingual resource containing judgments about nominal compound compositionality in English, French and Portuguese. It covers 3 × 180 noun-noun and adjective-noun compounds for which we provide numerical compositionality scores for the head word, for the modifier and for the compound as a whole, along with possible paraphrases. This resource was constructed by native speake...
متن کاملA Comparative Study of Nominalization in an English Applied Linguistics Textbook and its Persian Translation
Among the linguistic resources for creating grammatical metaphor, nominalization rewords processes and properties metaphorically as nouns within the experiential metafunction of language. Following Halliday's (1998a) classification of grammatical metaphor, the current study investigated nominalization exploited in an English applied linguistics textbook and its corresponding Persian translati...
متن کاملUnderstanding Karma Police: The Perceived Plausibility of Noun Compounds as Predicted by Distributional Models of Semantic Representation
Noun compounds, consisting of two nouns (the head and the modifier) that are combined into a single concept, differ in terms of their plausibility: school bus is a more plausible compound than saddle olive. The present study investigates which factors influence the plausibility of attested and novel noun compounds. Distributional Semantic Models (DSMs) are used to obtain formal (vector) represe...
متن کاملUsing Distributional Similarity of Multi-way Translations to Predict Multiword Expression Compositionality
We predict the compositionality of multiword expressions using distributional similarity between each component word and the overall expression, based on translations into multiple languages. We evaluate the method over English noun compounds, English verb particle constructions and German noun compounds. We show that the estimation of compositionality is improved when using translations into m...
متن کامل