Managing Data for Theoretical Syntactic Study of Underdocumented Languages

Duncan, Philip T.; Torrence, Harold; Major, Travis; Kandybowicz, Jason

doi:10.7551/mitpress/12200.003.0050

Cited by 11 publications

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References 1 publication

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“…Exploring corpus linguistics via computational tool analysis … (Wan Nur Aida Sakinah Wan Jusoh) 1055 NLP tools often use complex algorithms and Microsoft Excel to process unstructured text data, allowing them to summarize large texts, extract key points and information, and improve over time through machine learning and artificial intelligence (AI) [24], [25], visualization data analysis [26], database management systems (DBMS) [27], [28] (e.g., Python's NLTK or spaCy) [29], integrated development environments (IDEs), web scraping and data extraction tools, speech processing tools, and statistical analysis software to analyze and understand the text. These tools can discern patterns and meanings in a manner like that of human comprehension [30].…”

Section: Types Of Computational Tool and Usesmentioning

confidence: 99%

Exploring corpus linguistics via computational tool analysis: key finding review

Wan Jusoh,

Jobar,

Md Yusoff

et al. 2024

IJEECS

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Corpus linguistics investigates language using extensive text databases. Tools assist researchers in analyzing, extracting, and interpreting linguistic information efficiently. Furthermore, if researchers only use traditional tools in corpus linguistic analysis, they will lack the comprehensiveness and efficiency required to effectively navigate and derive valuable insights from language data. This paper employed the preferred reporting items for systematic reviews and meta-analyses (PRISMA) approach to find the primary data based on a few keywords in corpus linguistic, corpus analysis, computational linguistic, text corpora and tool support. Based on this method, we used advanced searching techniques on Scopus and Web of Science (WoS) and discovered (N=28) data pertinent to the study. Expert scholars decide on a theme based on the problem, which is (i) types of corpus tools and their uses; (ii) their contributions and their capabilities (iii) limitations of corpus tools. All the tools were used in interdisciplinary studies. In summary, this systematic review uncovers pivotal key findings at the intersection of computational tools and corpus analysis, enriching linguistic knowledge. It highlights the interdisciplinary potential of corpus-based analysis in advancing linguistic tools and, their applications, as well as language analysis.

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Section: Types Of Computational Tool and Usesmentioning

confidence: 99%

Exploring corpus linguistics via computational tool analysis: key finding review

Wan Jusoh,

Jobar,

Md Yusoff

et al. 2024

IJEECS

View full text Add to dashboard Cite

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Ikpana Interrogatives

Kandybowicz

Duncan

Katsuda

2023

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This book documents the interrogative system of Ikpana, an endangered indigenous Ghana-Togo Mountain language of eastern Ghana also known as Logba. The system is notable is several respects. It exhibits features that: 1) buck certain typological trends, 2) act as counterexamples to certain claims about language universals, and 3) exemplify fascinating patterns that are either rare or unfamiliar in interrogative systems crosslinguistically. The book provides a theoretically informed description and analysis of Ikpana interrogative grammar, encompassing both syntactic and phonological aspects of question formation in the language, including intonation and prosody, drawing on original fieldwork and a combination of formal/theoretical and experimental methodologies. Our coverage includes the following phenomena: polar questions; wh- questions; wh- movement; partial wh- movement; wh- in situ; indirect questions; multiple wh- questions; and superiority, intervention, and island effects, among others. Over the course of the book, we demonstrate the value of documenting aspects of a language with theoretical considerations in mind by showing that theoretically guided language documentation has the potential to not only make significant contributions to language description, uncovering the existence of gaps in the documentary record of a language, but also the ability to grow our understanding of the human language faculty and expand the empirical base of our language typologies. We argue that by bringing formal/theoretical concerns to the fore when documenting a language, we can reach richer descriptions of the grammar in ways that would have been impossible if the task had been approached from a purely descriptive perspective.

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2023

Ikpana Interrogatives

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Managing Data for Theoretical Syntactic Study of Underdocumented Languages

Cited by 11 publications

References 1 publication

Exploring corpus linguistics via computational tool analysis: key finding review

Exploring corpus linguistics via computational tool analysis: key finding review

Ikpana Interrogatives

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