scholarly journals Mapping Heterogenous Ontologies for the HLP Applications -Sejong Semantic Classes and KorLexNoun 1.5-

2010 ◽  
Vol 21 (1) ◽  
pp. 95-126
Author(s):  
배선미 ◽  
Yoon Aesun ◽  
임경업
Keyword(s):  
Languages ◽  
2021 ◽  
Vol 6 (3) ◽  
pp. 126
Author(s):  
Catherine E. Travis ◽  
Rena Torres Cacoullos

Are semantic classes of verbs genuine or do they merely mask idiosyncrasies of frequent verbs? Here, we examine the interplay between semantic classes and frequent verb-form combinations, providing new evidence from variation patterns in spontaneous speech that linguistic categories are centered on high frequency members to which other members are similar. We offer an account of the well-known favoring effect of cognition verbs on Spanish subject pronoun expression by considering the role of high-frequency verbs (e.g., creer ‘think’ and saber ‘know’) and particular expressions ((yo) creo ‘I think’, (yo) no sé ‘I don’t know’). Analysis of variation in nearly 3000 tokens of unexpressed and pronominal subjects in conversational data replicates well-established predictors, but highlights that the cognition verb effect is really one of 1sg cognition verbs. In addition, particular expressions stand out for their high frequency relative to their component parts (for (yo) creo, proportion of lexical type, and proportion of pronoun). Further analysis of 1sg verbs with frequent expressions as fixed effects reveals shared patterns with other cognition verbs, including an association with non-coreferential contexts. Thus, classes can be identified by variation constraints and contextual distributions that are shared among class members and are measurably different from those of the more general variable structure. Cognition verbs in variable Spanish subject expression form a class anchored in lexically particular constructions.


2020 ◽  
Vol 65 (1) ◽  
pp. 96-133
Author(s):  
Christina Clasmeier

SummaryThis paper investigates the position of Polish color adjectives in their attributive function in the noun phrase. In general, Polish attributive adjectives may precede the noun (AN) or follow it (NA). There is rich literature on this issue, especially on the motivation for AN or NA order in particular semantic classes of adjectives or types of adjective-noun constructions. However, most of the contributions are theoretical in nature and account for only a part of linguistic reality but fail to capture the entire scope of data. One of the reasons for this might be that, so far, no systematic empirical analysis of this specific syntactical phenomenon has been conducted. This paper presents the results from a corpus analysis (NKJP) of 203 noun-with-color-adjective constructions and their AN/NA distributions. These constructions were classified based on the color adjective’s function (qualifying, classificatory, or part of an idiom). The results show that, regardless of its respective function, Polish color adjectives typically tend to appear in the AN order.


Author(s):  
Likun Qiu ◽  
Yunfang Wu ◽  
Jing Shi ◽  
Yanqiu Shao ◽  
Zhiyi Long
Keyword(s):  

Author(s):  
Niek Van Wettere

Abstract This paper examines the productivity of the subject complement slot in a set of French and Dutch (semi-)copular micro-constructions. The presumed counterpart of productivity, conventionalization in the form of high token frequency, will also be taken into account in the analysis of the productivity complex. On the one hand, it will be shown that prototypical copulas generally have a higher productivity than semi-copulas, although there are some semi-copulas that can rival the productivity of prototypical copulas. On the other hand, it will be demonstrated that high token frequency is in general detrimental to productivity, on the level of the entire subject complement slot and on the level of the different semantic classes. However, the shape of the frequency distribution also seems to play a role: multiple highly frequent types are in my data more detrimental to productivity than one extremely frequent type, although the semantic connectedness of the types in the distribution might also be an explanatory factor.


Author(s):  
Rubén Izquierdo ◽  
Sonia Vázquez ◽  
Andrés Montoyo
Keyword(s):  

2017 ◽  
Vol 16 (2) ◽  
pp. 313-333
Author(s):  
Lydia Catedral

Abstract This study investigates the relationship between Russian language use and language planning in the context of newly independent, post-soviet Uzbekistan (1991–1992). It is guided by the question: In what ways does the use of Russian loanwords in Uzbek language newspapers accomplish language planning in newly independent Uzbekistan? The main finding from this analysis is that post-independence use of Russian loanwords from particular semantic classes in particular contexts reinforce overtly stated ideologies about Russian and construct difference between soviet Uzbekistan and independent Uzbekistan. These findings demonstrate the need to reexamine the role of Russian language in post-soviet contexts, and they contribute a unique approach to analyzing links between lexical items and ideology in language planning.


Corpora ◽  
2006 ◽  
Vol 1 (2) ◽  
pp. 187-216 ◽  
Author(s):  
May L-Y Wong

This paper presents a corpus-based approach to investigating the distribution of adverbial clauses and their subjects (overt vs. non-overt) in spoken and written Mandarin Chinese. It argues that the choice of subject type is determined by three variables, namely, given-new information, semantic function of adverbial clause and text type. In written Chinese, the distribution of subject types varies across semantic classes of adverbial clauses, but not across text categories. The influence of semantic classes on the distribution of subject types, however, depends on text type. For the same semantic function, the decision as to whether to include a subject is governed by given and new information. In contrasting the distribution of subject types of adverbial clauses across speech and writing, it was found that both spoken and written Chinese use more overt subjects in clauses of reason. Methodologically, this study demonstrates how quantitative corpus-linguistic methods can be used to supplement introspective theoretical assumptions with authentic, observable evidence in order to gain better insights into the behaviour of adverbial clauses in speech and writing.


2021 ◽  
Vol 12 (3) ◽  
Author(s):  
Natalia A. Nikolina ◽  
Zoya Yu. Petrova ◽  
Natalya A. Fateeva

The article explores the interaction of comparative constructions in modern prose. The main objective of the study is to determine the types of interaction between metaphors and similes in the texts of modern Russian prose. The material of the study is the works of Buida, Vodolazkin, Ivanov, Ilichevsky, Matveeva, Pelevin, Rubina, Slavnikova, Sokolov, Sorokin, and Stepnova. The authors employed the methods of description, comparison and the struc­tural-semantic analysis and also took into account the semantic field organisation of lexical units. The article distinguishes between formal and semantic interaction of metaphors and similes. The most obvious manifestation of the formal interaction is the reversibility of tropes. Semantic interaction is based on the semantic coordination of elements of comparative con­structions based on predicate-actant relations or involves a combination of metaphors and similes in the text based on various relations between elements of the same semantic field. Along with the indicated types of interaction, the article describes cases of multiple images of one depicted object and representation of different objects in a unified figurative way. These cases are characterized as a special type of interaction of comparative tropes. The article high­lights the main source domains of interacting tropes. The most frequent semantic classes of metaphors and similes used in interaction contexts are anthropomorphic, zoomorphic and culinary images. In addition to them, mechanistic (including computer), scientific and theat­rical metaphors and similes have been identified. The article shows that the interaction of tropes can be intertextual in a literary text. It is concluded that modern Russian prose is characterized by the interaction of metaphors and similes of different types. This interaction is often associated with the presence of contrast, contextual synonymy, the ‘genus — species’ relation between images of comparative constructions in a text.


2020 ◽  
Vol 25 (1) ◽  
pp. 101-123
Author(s):  
Dirk Speelman ◽  
Stefan Grondelaers ◽  
Benedikt Szmrecsanyi ◽  
Kris Heylen

Abstract In this paper, we revisit earlier analyses of the distribution of er ‘there’ in adjunct-initial sentences to demonstrate the merits of computational upscaling in syntactic variation research. Contrary to previous studies, in which major semantic and pragmatic predictors (viz. adjunct type, adjunct concreteness, and verb specificity) had to be coded manually, the present study operationalizes these predictors on the basis of distributional analysis: instead of hand-coding for specific semantic classes, we determine the semantic class of the adjunct, verb, and subject automatically by clustering the lexemes in those slots on the basis of their ‘semantic passport’ (as established on the basis of their distributional behaviour in a reference corpus). These clusters are subsequently interpreted as proxies for semantic classes. In addition, the pragmatic factor ‘subject predictability’ is operationalized automatically on the basis of collocational attraction measures, as well as distributional similarity between the other slots and the subject. We demonstrate that the distribution of er can be modelled equally successfully with the automated approach as in manual annotation-based studies. Crucially, the new method replicates our earlier findings that the Netherlandic data are easier to model than the Belgian data, and that lexical collocations play a bigger role in the Netherlandic than in the Belgian data. On a methodological level, the proposed automatization opens up a window of opportunities. Most important is its scalability: it allows for a larger gamut of alternations that can be investigated in one study, and for much larger datasets to represent each alternation.


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