African time travellers: what can we learn from 500 years of written accounts? by Kerby, E, Moradi, A, Odendaal, H

“…Applying modern day computational linguistic techniques such as a structural topic model approach (STM) in combination with domain knowledge of African economic history, we analyse how first hand accounts (topics) evolve across space, time and traveller occupations. …”

Comparison of Style Features for the Authorship Verification of Literary Texts by Ksenia Vladimirovna Lagutina

“…There are 40 fragments for each author. 20 authors who wrote in English, Russian, French, and 8 Spanish-language authors are considered.The authors of this paper use existing algorithms for calculation of low-level features, popular in the computer linguistics, and rhythm features, common for the literary texts. …”
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Regesta Imperii online by Julian Schulz

“…Different approaches to analyze and visualize the data show the potential of this text collection for digital historians, as well as for (computer-)linguistic research.…”
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A machine learning approach for Urdu text sentiment analysis by Muhammad Akhtar, Rana Saud Shoukat, Saif Ur Rehman

“…Sentiment analysis has emerged as a new area of study for computational linguists as a result of this rapidly expanding data set. …”
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Pathogens are linked to human moral systems across time and space by Mohammad Atari, Nils K. Reimer, Jesse Graham, Joe Hoover, Brendan Kennedy, Aida Mostafazadeh Davani, Farzan Karimi-Malekabadi, Shirin Birjandi, Morteza Dehghani

“…In Study 3, we use computational linguistic methods to show that pathogen-related words co-occur with Purity words across multiple languages. …”
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Effective Prediction and Important Counseling Experience for Perceived Helpfulness of Social Question and Answering-Based Online Counseling: An Explainable Machine Learning Model by Yinghui Huang, Yinghui Huang, Yinghui Huang, Yinghui Huang, Hui Liu, Hui Liu, Shen Li, Weijun Wang, Weijun Wang, Weijun Wang, Zongkui Zhou, Zongkui Zhou, Zongkui Zhou

“…This study applied the notion of perceived helpfulness as a public's perception of counselors' service quality in SQA-OC, used computational linguistic and explainable machine learning (XML) methods suited for large-scale QA discourse analysis to build an predictive model, explored how various sources and types of linguistic cues [i.e., Linguistic Inquiry and Word Count (LIWC), topic consistency, linguistic style similarity, emotional similarity] contributed to the perceived helpfulness. …”
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Predicting Mental Health Status in Remote and Rural Farming Communities: Computational Analysis of Text-Based Counseling by Mark Antoniou, Dominique Estival, Christa Lam-Cassettari, Weicong Li, Anne Dwyer, Abìlio de Almeida Neto

“…ObjectiveIn this project, we investigated whether computational linguistic techniques can be applied to text-based communications with the goal of identifying a client’s mental health status. …”
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Topic-Aware Deep Compositional Models for Sentence Classification by Zhao, Rui, Mao, Kezhi

“…In recent years, deep compositional models have emerged as a popular technique for representation learning of sentence in computational linguistic and natural language processing. These models normally train various forms of neural networks on top of pretrained word embeddings using a task-specific corpus. …”
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Construction model of new Malay language lexicons using morphological affixed rules / Harshida Hasmy by Hasmy, Harshida

“…Results from this analysis open opportunity to construct new Malay word variant to enrich the Malay lexicon and may help to support more efficient method for any related Malay language computer linguistic analysis particularly any research on Malay Quranic translation documents.…”
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Experiences and expertise in building Arabic electronic dictionaries: an example from the lingual electronic dictionary by Mohd Feham Md Ghalib, Mona Mohammed Abdullah al-Qartoubi, Malik Hamood Said al-Noumani

“…The methods used in the study are in three folds; using inductive approach for reviewing the literature, applying computer linguistic analysis approach during analysing the language data for the software, and development approach through the implementation of ADDIE model. …”
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Insideout project: Using big data and machine learning for prevention in psychiatry by F. Fiori Nastro, D. Croce, S. Schmidt, R. Basili, F. Schultze-Lutter

“…InsideOut works using machine learning techniques and computational linguistic items to catch significant and sense of written messages and it improves its performances with iterations. …”
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Linguistic Variation Among Pakistani Internet Blogs: A Multidimensional Analysis by Asia Latif, Dr. Ayyaz Qadeer, Dr. Adnan Tahir

“…The corpus of blogs will be productive for computational linguists and researchers for new MD analysis, genre analysis, and critical discourse analysis. …”
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A human-machine partnered approach for identifying social media signals of elevated traumatic grief in Chicago gang territories. by Forrest Stuart, Alicia Riley, Hossein Pourreza

“…In this paper, we explore the potential for using a human-machine partnered approach, wherein qualitative fieldwork and domain expertise is combined with a computational linguistic analysis of Twitter content among 18 gang territories/neighborhoods on Chicago's South Side. …”
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A longitudinal investigation of pragmatic language across contexts in autism and related neurodevelopmental conditions by Gary E. Martin, Michelle Lee, Michelle Lee, Klinton Bicknell, Klinton Bicknell, Adam Goodkind, Adam Goodkind, Nell Maltman, Nell Maltman, Molly Losh

“…The utility of computational linguistic analyses, as an efficient tool for capturing pragmatic abilities, was also explored.MethodsPragmatic skills of boys with idiopathic ASD (ASD-O, n = 43), FXS with and without ASD (FXS-ASD, n = 57; FXS-O, n = 14), Down syndrome (DS, n = 22), and typical development (TD, n = 24) were compared using variables obtained from a standardized measure, narrative, and semi-naturalistic conversation at up to three time points.ResultsPragmatic language was most significantly impacted among males with ASD-O and FXS-ASD across all three contexts, with more difficulties in the least structured context (conversation), and also some differences based on FXS comorbidity. …”
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Mlphon: A Multifunctional Grapheme-Phoneme Conversion Tool Using Finite State Transducers by Kavya Manohar, A. R. Jayan, Rajeev Rajan

“…In this article we present the design and the development of a knowledge based computational linguistic tool, Mlphon <fig position="float" orientation="portrait"> <graphic position="float" orientation="portrait" xlink:href="manoh23-3204403.eps"/> </fig> for Malayalam language. …”
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THE COMPARATIVE ANALYSIS OF THE MACHINE TRANSLATION SYSTEMS OF ECONOMIC DISCOURSE (ON THE EXAMPLE OF FRENCH-UKRAINIAN LANGUAGE PAIRS) by Nataliia M. Sopyluk, Ilona O. Tsarenko

“…The comparative research covers the field of machine translation in terms of the development of computer linguistics and the growing demand for the translation services. …”
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Human-Machine Shared Contexts / by Lawless, William, editor 648641, Mittu, Ranjeev, editor 648642, Sofge, Donald A., editor 651588, ScienceDirect (Online service) 7722

“…This book will be essential reading for professional, industrial, and military computer scientists and engineers; machine learning (ML) and artificial intelligence (AI) scientists and engineers, especially those engaged in research on autonomy, computational context, and human-machine shared contexts; advanced robotics scientists and engineers; scientists working with or interested in data issues for autonomous systems such as with the use of scarce data for training and operations with and without user interventions; social psychologists, scientists and physical research scientists pursuing models of shared context; modelers of the internet of things (IOT); systems of systems scientists and engineers and economists; scientists and engineers working with agent-based models (ABMs); policy specialists concerned with the impact of AI and ML on society and civilization; network scientists and engineers; applied mathematicians (e.g., holon theory, information theory); computational linguists; and blockchain scientists and engineers.…”
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Joining language with data and data with data by Karsten Boye Rasmussen

“…Linguistic knowledge is not only relevant for finding data but also valuable for the production of data. Computer linguistics have made great progress for the growing number of studies based on texts and data in the form of interviews. …”
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Kirjandus ja digitaalne tehnoloogia / Literature and Digital Technology by Marin Laak, Piret Viires

“…Although the field of digital humanities is quite broad, in Estonia this concept has been used rather as a synonym for methods of quantitative computer analysis: linguists have used it very productively in analysing text corpora and computer linguistics has developed it into an independent discipline. …”
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