Introduction: The problem of language complexity

2008 ◽  
pp. vii-xiv ◽  
Author(s):  
Fred Karlsson ◽  
Matti Miestamo ◽  
Kaius Sinnemäki
Keyword(s):  
Language Complexity

scholarly journals Natural Language Processing (NLP) and Its Impact across Industries – Unlocking the True Potential of Digital Healthcare (A Case Study Approach)

2021 ◽  
pp. 86-98
Author(s):  
Sourajit Roy ◽  
Pankaj Pathak ◽  
S. Nithya
Keyword(s):  
Natural Language Processing ◽  
Natural Language ◽  
Language Processing ◽  
Computational Models ◽  
M2m Communication ◽  
Digital Revolution ◽  
Language Complexity ◽  
Study Approach ◽  
Data Variability

During the advent of the 21st century, technical breakthroughs and developments took place. Natural Language Processing or NLP is one of their promising disciplines that has been increasingly dynamic via groundbreaking findings on most computer networks. Because of the digital revolution the amounts of data generated by M2M communication across devices and platforms such as Amazon Alexa, Apple Siri, Microsoft Cortana, etc. were significantly increased. This causes a great deal of unstructured data to be processed that does not fit in with standard computational models. In addition, the increasing problems of language complexity, data variability and voice ambiguity make implementing models increasingly harder. The current study provides an overview of the potential and breadth of the NLP market and its acceptance in industry-wide, in particular after Covid-19. It also gives a macroscopic picture of progress in natural language processing research, development and implementation.

scholarly journals Did Dog Domestication Contribute to Language Evolution?

2021 ◽  
Vol 12 ◽  
Author(s):  
Antonio Benítez-Burraco ◽  
Daniela Pörtl ◽  
Christoph Jung
Keyword(s):  
Prosocial Behavior ◽  
Aggressive Behavior ◽  
Cultural Change ◽  
Language Evolution ◽  
Language Complexity ◽  
Selection For ◽  
Dog Domestication ◽  
Positive Effect

Different factors seemingly account for the emergence of present-day languages in our species. Human self-domestication has been recently invoked as one important force favoring language complexity mostly via a cultural mechanism. Because our self-domestication ultimately resulted from selection for less aggressive behavior and increased prosocial behavior, any evolutionary or cultural change impacting on aggression levels is expected to have fostered this process. Here, we hypothesize about a parallel domestication of humans and dogs, and more specifically, about a positive effect of our interaction with dogs on human self-domestication, and ultimately, on aspects of language evolution, through the mechanisms involved in the control of aggression. We review evidence of diverse sort (ethological mostly, but also archeological, genetic, and physiological) supporting such an effect and propose some ways of testing our hypothesis.

scholarly journals Language complexity of rotations and Sturmian sequences

1998 ◽  
Vol 209 (1-2) ◽  
pp. 179-193 ◽  
Author(s):  
François Blanchard ◽  
Petr Kůrka
Keyword(s):  
Language Complexity ◽  
Sturmian Sequences

Diagnostic Decisions of Language Complexity Using Informal Language Assessment Measures

2021 ◽  
pp. 1-13
Author(s):  
Rebecca Bawayan ◽  
Jennifer A. Brown
Keyword(s):  
Decision Making ◽  
Measure Data ◽  
Assessment Data ◽  
Language Complexity ◽  
Narrative Assessment ◽  
School Based ◽  
Language Quality ◽  
Assessment Measures ◽  
Criterion Referenced ◽  
Language Sample

Purpose: The current study aimed to understand the clinical decision-making skills of school-based speech-language pathologists (SLPs) using narrative and expository discourse information from three sources: perception of language through listening to language alone, standardized criterion-referenced narrative assessment data, and word- and morpheme-level language sample analysis data. Method: Twenty-eight current school-based SLPs participated in the study. During this study, participants rated language quality and made decisions regarding the provision of language services after being provided information from informal assessment measures. Results: SLPs' ratings of language quality and complexity varied across the story retell, wordless picture book generation, and expository samples. There was a lack of consistency in ratings within each context across areas of clarity, sample complexity, language complexity, and vocabulary across all SLPs. Self-reported factors that influenced SLPs' ratings included components of structure, syntax, and semantics. SLPs did not indicate a need for services after listening alone. When provided with criterion-referenced narrative assessment scores and word- and morpheme-level language sample data, more SLPs made a recommendation for services. Conclusions: The study demonstrates the need for objective language measure data during diagnostic decision making. Additionally, SLPs may not realize the information obtained from real-time perception, and analysis of language samples may be an unreliable and inconsistent picture of a child's language abilities. The results of this study highlight the need to continue to rely on multiple sources of assessment data. SLPs should continue to incorporate systematic methods to minimize variability of perceptions in the process of making diagnostic decisions. Supplemental Material: https://doi.org/10.23641/asha.17707451

scholarly journals Children's literature parallel corpora: a hybrid experimental model to evaluate transfers of language complexity via linguistic transcoding

2018 ◽  
Vol 71 (1) ◽  
pp. 27-52
Author(s):  
Adja Balbino de Amorim Barbieri Durão ◽  
Paulo Roberto Kloeppel
Keyword(s):  
Experimental Model ◽  
Hybrid Model ◽  
Corpus Linguistics ◽  
Children’S Literature ◽  
Lexical Diversity ◽  
Parallel Corpora ◽  
Language Complexity ◽  
The Secret Garden ◽  
Lexical Density

The article aims at proposing a hybrid model to evaluate language complexity of source and target texts written both in English and Portuguese so that one can analyse at what extent language complexity has been transferred from a text to its translation. In it, hybrid model points to paralleled approaches to lexical repetition, lexical diversity and lexical density, readability and word unusualness with the help of some Corpus Linguistics tools. It also stands for developing adjustments to Paul Nation’s word family lists and Gunning’s GFI formula so that they can be applied to Portuguese language. Aiming at checking the reliability of the model, the article also presents a case study based on contrastive investigations on “The Secret Garden” by Burnett and its translation into Portuguese “O Jardim Secreto” by Perota and Carvalho.

Coding for Language Complexity: The Interplay Among Methodological Commitments, Tools, and Workflow in Writing Research

2018 ◽  
Vol 35 (2) ◽  
pp. 215-249 ◽  
Author(s):  
Cheryl Geisler
Keyword(s):  
General Purpose ◽  
Methodological Pluralism ◽  
Language Complexity ◽  
Coding Scheme ◽  
Writing Research ◽  
Selection Of

Coding, the analytic task of assigning codes to nonnumeric data, is foundational to writing research. A rich discussion of methodological pluralism has established the foundational importance of systematicity in the task of coding, but less attention has been paid to the equally important commitment to language complexity. Addressing the interplay among a commitment to language complexity, the selection of tools, and the construction of workflow, this article offers a framework of analytic tasks in coding. Three general purpose coding tools are explored: Excel, MAXQDA, and Dedoose. This exploration suggests that how four aspects of analysis should be supported in order to manage language complexity: code restructuring, segmentation in advance of coding, use of a full coding scheme, and retrieval of full context by code. This analysis is intended to help writing researchers choose tools and design workflow to support coding work consistent with our commitment to language in its full complexity.

scholarly journals Eleventh Graders’ Increasingly Elaborate Language Use for Disentangling Amount and Change: A Case Study on the Epistemic Role of Syntactic Language Complexity

2019 ◽  
Vol 41 (1) ◽  
pp. 43-79 ◽  
Author(s):  
Susanne Prediger ◽  
Dilan Şahin-Gür
Keyword(s):  
Language Use ◽  
Academic Language ◽  
Language Complexity ◽  
Test Items ◽  
Challenging Tasks ◽  
Eleventh Graders ◽  
Epistemic Role ◽  
Communicative Role

AbstractThe syntactic dimension of academic language has often been studied with respect to students’ difficulties with syntactic features in mathematical textbooks and test items, and these studies have contributed to understanding the communicative role of language. In contrast, the epistemic role of students’ language use has mainly been explored in lexical and discourse dimensions. This research has shown that higher order cognitive demands require more elaborate language means. The aim of this article is to contribute to theorizing the epistemic role of syntactic language complexity by means of a topic-specific investigation using the mathematical topic of qualitative calculus, i.e., the informal meanings of amount and change. In order to do this, the learning process study presented in this article investigates 18 eleventh graders’ conceptual pathways while dealing with challenging tasks on amount and change. The identification of different syntactic complexities in students’ utterances provides an overview of the variance of possible phrase structures. Further, it shows that successive conceptual conciseness requires either increasing syntactic complexity or conceptual condensation. So increasing elaborateness in the lexical and syntactic dimensions seem to compensate each other.

Pro and con: Internal speech and the evolution of complex language

2016 ◽  
Vol 39 ◽  
Author(s):  
Christina Behme
Keyword(s):  
Language Acquisition ◽  
Language Evolution ◽  
Language Complexity ◽  
Integrated Framework ◽  
Target Article ◽  
Internal Speech ◽  
Over Time

AbstractThe target article by Christiansen & Chater (C&C) offers an integrated framework for the study of language acquisition and, possibly, a novel role for internal speech in language acquisition. However, the “Now-or-Never bottleneck” raises a paradox for language evolution. It seems to imply that language complexity has been either reduced over time or has remained the same. How, then, could languages as complex as ours have evolved in prelinguistic ancestors? Linguistic Platonism could offer a solution to this paradox.

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