scholarly journals Acquiring Selectional Preferences from Untagged Text for Prepositional Phrase Attachment Disambiguation

Author(s):  
Hiram Calvo ◽  
Alexander Gelbukh
2021 ◽  
Vol 11 (12) ◽  
pp. 5743
Author(s):  
Pablo Gamallo

This article describes a compositional model based on syntactic dependencies which has been designed to build contextualized word vectors, by following linguistic principles related to the concept of selectional preferences. The compositional strategy proposed in the current work has been evaluated on a syntactically controlled and multilingual dataset, and compared with Transformer BERT-like models, such as Sentence BERT, the state-of-the-art in sentence similarity. For this purpose, we created two new test datasets for Portuguese and Spanish on the basis of that defined for the English language, containing expressions with noun-verb-noun transitive constructions. The results we have obtained show that the linguistic-based compositional approach turns out to be competitive with Transformer models.


2018 ◽  
Vol 48 (2) ◽  
pp. 231-252
Author(s):  
Alicja Piotrowska

Abstract In this paper I discuss the constructions with the group genitive and their use in today’s Swedish. The development of the s-genitive from a diachronic perspective, its degrammaticalization and the status of the s-genitive are discussed. The aim of the paper is to examine and analyse the use of the group genitive in the Swedish nominal phrases in three contexts, i. e. coordinated nominal phrases, nominal phrase with a prepositional phrase and nominal phrase with a relative clause. The group genitive’s domain is above all spoken, colloquial language. The analysed material consists of authentic examples of everyday use of language from the Swedish corpus Språkbanken and a questionnaire conducted among native speakers. The study shows that the group genitive is very productive with various types of nominal phrases in Swedish, even though it is still limited to colloquial and non-formal use of language.


2018 ◽  
Vol 6 (1) ◽  
pp. 43-70
Author(s):  
Gaëtanelle Gilquin ◽  
Andrew McMichael

Abstract This paper empirically tests a number of criteria proposed in the literature to identify the prototype of a linguistic category in order to see how they compare with each other - and what this can tell us about the concept of prototypicality. The item under investigation is through, and the starting point is an intuition-based definition of prototypical through. The different criteria are frequency of use, ease of elicitation, historical origin, patterns in L1 acquisition and patterns in L2 use. All instances of through retrieved for testing each of these criteria are classified according to a taxonomy couched in Construction Grammar terms. The findings confirm the special status of the intuition-based prototype of through (the [X moves through Y] construction) according to some of the criteria, but also reveal divergent results, in particular a central use of the instrumental prepositional phrase with through. Conclusions are drawn about the theoretical concept of prototypicality and its possible multi-faceted nature, and more generally about the place of empirical evidence in Cognitive Linguistics.


Author(s):  
Herman . ◽  
Rohani Nirmana Hasibuan

This research is conducted in purpose to identify types of idiomatic expressions found in “A Dog’s Journey” (2019) Movie Script. The researchers used Lim’s theory (2004). The source of data was the script of movie entitled A Dog’s Journey. The methodology which used in this research was qualitative research which specifically referred to document content analysis method. Method of collecting the data was searching the movie, downloading, watching and understanding the whole movie. After collecting the data, the researchers did data preparation, data reading, data confirmation, and calculation as the data analysis. After investigating the types of idiomatic expressions found in A Dog’s Journey (2019) movie, the researchers found 36 idiomatic expressions. The idiomatic expressions in A Dog’s Journey (2019) movie have been analyzed in types; there were 17 phrasal verbs with percentage 47,2%, 3 phrasal prepositional phrase with percentage 8,3%, 3 prepositional phrase with percentage 8,3%, 3 idioms with noun as keywords and  with percentage 8,3% , 5 idioms with verb as keywords and  with percentage 13,8%, 4 idioms with adjective as keywords and with percentage 11,1% and 1 idiomatic pairs with percentage 2,7%. The conclusion of this research was the dominant of idiomatic expression used in A Dog’s Journey (2019) movie is phrasal verb.


2018 ◽  
Vol 9 (1) ◽  
pp. 1
Author(s):  
Ai Inoue

This corpora-based study shows that until by and until before, which are newly observed phraseological units (PUs) in contemporary English, function as complex prepositions (CPs). As an interesting phenomenon of present-day English, two prepositions are put together with a single meaning. Specifically, the prepositions in and on co-occur with various other prepositions, and each resulting prepositional phrase becomes established as a new CP with a single meaning like in at or in on. The combinations until by and until before have not been widely acknowledged and have been regarded as mistakes in previous studies. This study shows the meanings of the two phrases, the process of their establishment as new CPs and the way they gained their new meanings. To this end, the study carries out the following research procedures: (i) showing the frequencies of until by and until before in corpora from the synchronic and diachronic perspectives; (ii) differentiating until by and until before by semantically and syntactically clear regarding how until by and until before are used in context; and (iii) showing the kinds of prepositions that are used with until to form PUs as well as CPs.


2020 ◽  
Vol 20 (1) ◽  
pp. 100
Author(s):  
Shanty A.Y.P.S Duwila

Focusing on single and multiple post-modification of noun phrase complexity in academic writing, this study adopted Berlage’s (2014) types of single and multiple post-modification of noun phrase to investigate the types and distributionof noun phrase on 15 abstracts of accredited local journal and 15 international journal indexed by Scopus. Subjects, objects, and complements are coded manually and then extracted for noun phrases. The findings revealed that both groups of writers heavily relied on noun phrase involving prepositional phrase in single-post modification and noun phrase involving prepositional phrase(s) and coordination(s) in multiple-post modification. This finding may give contribution to EFL teachers and material developers in order to provide information and materials about NP post modifiers that can be used in academic writing.  


2021 ◽  
Vol 5 (S1) ◽  
pp. 1183-1194
Author(s):  
Marianna Hudcovičová ◽  
Ľudmila Jančovičová ◽  
Božena Petrášová ◽  
Jerome Baghana

This paper focuses on empirical research of grammatical collocations of the type: verb and preposition FOR. Subject to analysis were the verbal prepostional structures of the pattern 1: V+prepositional phrase in the function of the object and the pattern 2: V+ preposition+fixed element.  The study is based on comparisons of the English and Slovak sentences containing this specific verbal-prepositional structure. Data for contrastive study of English and Slovak languages are taken from the electronic corpus Slovak National Corpus, ie. English- Slovak Parallel Corpus. The aim of the study is to analyse, describe and classify only prepositional counterparts.


2015 ◽  
Vol 2015 ◽  
pp. 1-11 ◽  
Author(s):  
Duc-Thuan Vo ◽  
Vo Thuan Hai ◽  
Cheol-Young Ock

Classifying events is challenging in Twitter because tweets texts have a large amount of temporal data with a lot of noise and various kinds of topics. In this paper, we propose a method to classify events from Twitter. We firstly find the distinguishing terms between tweets in events and measure their similarities with learning language models such as ConceptNet and a latent Dirichlet allocation method for selectional preferences (LDA-SP), which have been widely studied based on large text corpora within computational linguistic relations. The relationship of term words in tweets will be discovered by checking them under each model. We then proposed a method to compute the similarity between tweets based on tweets’ features including common term words and relationships among their distinguishing term words. It will be explicit and convenient for applying to k-nearest neighbor techniques for classification. We carefully applied experiments on the Edinburgh Twitter Corpus to show that our method achieves competitive results for classifying events.


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