scholarly journals Automatic Extraction of Semantic Roles in Support Verb Constructions

2021 ◽  
Vol 10 (03) ◽  
pp. 1-10
Author(s):  
Ignazio Mauro Mirto
Keyword(s):  
Computational Linguistics ◽  
Automatic Extraction ◽  
Semantic Roles ◽  
Verb Constructions ◽  
Theoretical Linguistics ◽  
The Relationship

This paper deals with paraphrastic relations in Italian. In the following sentences: (a) Max strappò delle lacrime a Sara 'Max moved Sara to tears' and (b) Max fece piangere Sara 'Max made Sara cry', the verbs differ syntactically and semantically. Strappare 'tear/rip/wring' is transitive, fare ‘have/make’ is a causative, and piangere 'cry' is intransitive. Despite this, a translation of (a) as (b) is legitimate and therefore (a) is a paraphrase of (b). In theoretical linguistics this raises an issue concerning the relationship between strappare and fare/piangere in Italian, and that in English between move and make. In computational linguistics, can such paraphrases be obtained automatically? Which apparatus should be deployed? The aim of this paper is to suggest a pathway with which to answer these questions.

scholarly journals Lineament automatic extraction analysis for Galal Badra river basin using Landsat 8 satellite image

2019 ◽  
Vol 12 (25) ◽  
pp. 44-55 ◽  
Author(s):  
Safaa Sabah Adhab
Keyword(s):  
Program Analysis ◽  
Satellite Image ◽  
Landsat 8 ◽  
Automatic Extraction ◽  
Lineament Density ◽  
Density Analysis ◽  
Lineament Analysis ◽  
Intersection Density ◽  
Surrounding Areas ◽  
The Relationship

This research including lineament automated extraction by using PCI Geomatica program, depending on satellite image and lineament analysis by using GIS program. Analysis included density analysis, length density analysis and intersection density analysis. When calculate the slope map for the study area, found the relationship between the slope and lineament density.The lineament density increases in the regions that have high values for the slope, show that lineament play an important role in the classification process as it isolates the class for the other were observed in Iranian territory, clearly, also show that one of the lineament hit shoulders of Galal Badra dam and the surrounding areas dam. So should take into consideration the lineaments because its plays an important role in the study area.

Korean Syntax

2018 ◽  
Author(s):  
James Hye Suk Yoon
Keyword(s):  
Theoretical Understanding ◽  
Case Marking ◽  
Case Marker ◽  
Verb Constructions ◽  
Multiple Case ◽  
Serial Verb ◽  
Auxiliary Verb ◽  
The Relationship ◽  
Important Evidence

The syntax of Korean is characterized by several signature properties. One signature property is head-finality. Word order variations and restrictions obey head-finality. Korean also possesses wh in-situ as well as internally headed relative clauses, as is typical of a head-final language. Another major signature property is dependent-marking. Korean has systematic case-marking on nominal dependents and very little, if any, head-marking. Case-marking and related issues, such as multiple case constructions, case alternations, case stacking, case-marker ellipsis, and case-marking on adjuncts, are front and center properties of Korean syntax as viewed from the dependent-marking perspective. Research on these aspects of Korean has contributed to the theoretical understanding of case and grammatical relations in linguistic theory. Korean is also characterized by agglutinative morphosyntax. Many issues in Korean syntax straddle the morphology-syntax boundary. Korean morphosyntax constitutes a fertile testing ground for ongoing debates about the relationship between morphology and syntax in domains such as coordination, deverbal nominalizations (mixed category constructions), copula, and other denominal constructions. Head-finality and agglutinative morphosyntax intersect in domains such as complex/serial verb and auxiliary verb constructions. Negation, which is a type of auxiliary verb construction, and the related phenomena of negative polarity licensing, offer important evidence for crosslinguistic understanding of these phenomena. Finally, there is an aspect of Korean syntax that reflects areal contact. Lexical and grammatical borrowing, topic prominence, pervasive occurrence of null arguments and ellipsis, as well as a complex system of anaphoric expressions, resulted from sustained contact with neighboring Sino-Tibetan languages.

scholarly journals Distributional Semantics and Linguistic Theory

2020 ◽  
Vol 6 (1) ◽  
pp. 213-234 ◽  
Author(s):  
Gemma Boleda
Keyword(s):  
Computational Linguistics ◽  
Large Body ◽  
Critical Discussion ◽  
Distributional Semantics ◽  
Semantic Change ◽  
Collective Knowledge ◽  
Natural Languages ◽  
Computational Approaches ◽  
Theoretical Linguistics ◽  
Cross Fertilization

Distributional semantics provides multidimensional, graded, empirically induced word representations that successfully capture many aspects of meaning in natural languages, as shown by a large body of research in computational linguistics; yet, its impact in theoretical linguistics has so far been limited. This review provides a critical discussion of the literature on distributional semantics, with an emphasis on methods and results that are relevant for theoretical linguistics, in three areas: semantic change, polysemy and composition, and the grammar–semantics interface (specifically, the interface of semantics with syntax and with derivational morphology). The goal of this review is to foster greater cross-fertilization of theoretical and computational approaches to language as a means to advance our collective knowledge of how it works.

From Argument Diagrams to Argumentation Mining in Texts

2013 ◽  
Vol 7 (1) ◽  
pp. 1-31 ◽  
Author(s):  
Andreas Peldszus ◽  
Manfred Stede
Keyword(s):  
Computational Linguistics ◽  
Argument Structure ◽  
Automatic Analysis ◽  
Critical Survey ◽  
Formal Representation ◽  
Rhetorical Structure ◽  
Analysis Process ◽  
Argumentation Mining ◽  
The Relationship

In this paper, the authors consider argument mining as the task of building a formal representation for an argumentative piece of text. Their goal is to provide a critical survey of the literature on both the resulting representations (i.e., argument diagramming techniques) and on the various aspects of the automatic analysis process. For representation, the authors also provide a synthesized proposal of a scheme that combines advantages from several of the earlier approaches; in addition, the authors discuss the relationship between representing argument structure and the rhetorical structure of texts in the sense of Mann and Thompsons (1988) RST. Then, for the argument mining problem, the authors also cover the literature on closely-related tasks that have been tackled in Computational Linguistics, because they think that these can contribute to more powerful argument mining systems than the first prototypes that were built in recent years. The paper concludes with the authors’ suggestions for the major challenges that should be addressed in the field of argument mining.

scholarly journals How relevant is linguistics to computational linguistics?

2011 ◽  
Vol 6 ◽  
Author(s):  
Mark Johnson
Keyword(s):  
Machine Learning ◽  
Computational Linguistics ◽  
Linguistic Theory ◽  
Statistical Techniques ◽  
Engineering Applications ◽  
The Past ◽  
Statistical Parsing ◽  
Types Of Information ◽  
The Relationship ◽  
Scientific Fields

I start by explaining what I take computational linguistics to be, and discuss the relationship between its scientific side and its engineering applications. Statistical techniques have revolutionised many scientific fields in the past two decades, including computational linguistics. I describe the evolution of my own research in statistical parsing and how that lead me away from focusing on the details of any specific linguistic theory, and to concentrate instead on discovering which types of information (i.e., features) are important for specific linguistic processes, rather than on the details of exactly how this information should be formalised. I end by describing some of the ways that ideas from computational linguistics, statistics and machine learning may have an impact on linguistics in the future.

The relationship between topic and metaphor in second-language learners’ essays

2021 ◽  
Vol 11 (2) ◽  
pp. 261-278
Author(s):  
Anne Golden
Keyword(s):  
Second Language ◽  
Language Learners ◽  
Second Language Learners ◽  
Automatic Extraction ◽  
High Stake ◽  
Conceptual Metaphor Theory ◽  
Learner Corpus ◽  
Metaphor Theory ◽  
Written Assignments ◽  
The Relationship

Abstract In this article I investigate to what extent the use of metaphorical expressions in language learners’ texts vary according to the topic they have chosen to write about. The data come from the Norwegian learner corpus ASK, where the texts are from written assignments produced by adult second-language learners as part of an official Norwegian test and texts. Texts from two different prompts are selected, which are related to friendship and nature. Metaphors are defined according to conceptual metaphor theory and a triangulation of methods is used, alternating between a manual and an automatic extraction method. The results confirm the hypothesis that the two different prompts given to the learners in a language test not only triggers different metaphorical expressions but also influences the amount of metaphor used in the learners’ writing. This knowledge is important to researchers for comparing the use of metaphors between different groups, such as between different learners or between students in different stages of education. It is also important for test designers who decide on topics to be used in tests and teachers who help learners prepare for their tests. In addition, it is of interest for researchers, educators in general and the learners themselves who are interested in the effect the use of metaphors in texts have on raters’ evaluations in high-stake tests.

Computational Linguistics

2018 ◽  
Author(s):  
Karine Megerdoomian
Keyword(s):  
Computational Linguistics ◽  
Language Processing ◽  
Computational Modelling ◽  
Formal Approach ◽  
Future Directions ◽  
Light Verb Constructions ◽  
Light Verb ◽  
Current State ◽  
Linguistic Representations ◽  
Verb Constructions

This chapter introduces the fields of Computational Linguistics (CL)—the computational modelling of linguistic representations and theories—and Natural Language Processing (NLP)—the design and implementation of tools for automated language understanding and production—and discusses some of the existing tensions between the formal approach to linguistics and the current state of the research and development in CL and NLP. The paper goes on to explain the specific challenges faced by CL and NLP for Persian, much of it derived from the intricacies presented by the Perso-Arabic script in automatically identifying word and phrase boundaries in text, as well as difficulties in automatic processing of compound words and light verb constructions. The chapter then provides an overview of the state of the art in current and recent CL and NLP for Persian. It concludes with areas for improvement and suggestions for future directions.

Understanding quotation extraction and attribution: towards automatic extraction of public figure’s statements for journalism in Indonesia

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Yohanes Sigit Purnomo W.P. ◽  
Yogan Jaya Kumar ◽  
Nur Zareen Zulkarnain
Keyword(s):  
Computational Linguistics ◽  
Design Methodology ◽  
Opinion Mining ◽  
Model Development ◽  
Extraction Process ◽  
Automatic Extraction ◽  
Literature Study ◽  
Content Type ◽  
Fact Checking ◽  
Language Corpus

Purpose Extracting information from unstructured data becomes a challenging task for computational linguistics. Public figure’s statement attributed by journalists in a story is one type of information that can be processed into structured data. Therefore, having the knowledge base about this data will be very beneficial for further use, such as for opinion mining, claim detection and fact-checking. This study aims to understand statement extraction tasks and the models that have already been applied to formulate a framework for further study. Design/methodology/approach This paper presents a literature review from selected previous research that specifically addresses the topics of quotation extraction and quotation attribution. Research works that discuss corpus development related to quotation extraction and quotation attribution are also considered. The findings of the review will be used as a basis for proposing a framework to direct further research. Findings There are three findings in this study. Firstly, the extraction process still consists of two main tasks, namely, the extraction of quotations and the attribution of quotations. Secondly, most extraction algorithms rely on a rule-based algorithm or traditional machine learning. And last, the availability of corpus, which is limited in quantity and depth. Based on these findings, a statement extraction framework for Indonesian language corpus and model development is proposed. Originality/value The paper serves as a guideline to formulate a framework for statement extraction based on the findings from the literature study. The proposed framework includes a corpus development in the Indonesian language and a model for public figure statement extraction. Furthermore, this study could be used as a reference to produce a similar framework for other languages.

Constructing signs: Place as a symbolic structure in signed languages

2016 ◽  
Vol 27 (3) ◽  
pp. 371-404 ◽  
Author(s):  
Sherman Wilcox ◽  
Corrine Occhino
Keyword(s):  
Cognitive Grammar ◽  
Signed Languages ◽  
Verb Constructions ◽  
Symbolic Structure ◽  
Pointing Device ◽  
Grammar Analysis ◽  
Formal Properties ◽  
The Relationship

AbstractThis paper presents a usage-based, Cognitive Grammar analysis of Place as a symbolic structure in signed languages. We suggest that many signs are better viewed as constructions in which schematic or specific formal properties are extracted from usage events alongside specific or schematic meaning. We argue that pointing signs are complex constructions composed of a pointing device and a Place, each of which are symbolic structures having form and meaning. We extend our analysis to antecedent-anaphora constructions and directional verb constructions. Finally, we discuss how the usage-based approach suggests a new way of understanding the relationship between language and gesture.

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