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  1. 3741
    “…Given the increasing amount of data being generated on the internet in Africa today, and the multilingual state of African countries, we evaluated how well the standard pipeline works when applied to text wholly or partially written in indigenous African languages, specifically Bantu languages. We carried out an exploratory investigation using Twitter data and compared the outputs from each step of the pipeline for an English dataset and a mixed Bantu language dataset. …”
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    Evaluating the Effectiveness of the Standard Insights Extraction Pipeline for Bantu Languages
  2. 3742
    “…Language deviations are a core symptom of schizophrenia. …”
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    Language in schizophrenia: relation with diagnosis, symptomatology and white matter tracts
  3. 3743
    “…BACKGROUND: Evidencing the impact of speech and language therapy interventions is challenging. The UK’s professional body for speech and language therapists (SLTs) is supporting a consistent approach to outcome measurement and analysis using Therapy Outcome Measures (TOMs). …”
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    Online Artículo Texto
    Outcome measurement in speech and language therapy: a digital journey
  4. 3744
    por Cheon, Hyunjoon, Han, Yo-Sub
    Publicado 2020
    “…A distance between two languages is a useful tool to measure the language similarity, and is closely related to the intersection problem as well as the shortest string problem. …”
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    Computing the Shortest String and the Edit-Distance for Parsing Expression Languages
  5. 3745
    “…Clear language should be used during emergency airway management to aid communication and understand the nature of the emergency. …”
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    Critical language during an airway emergency: Time to rethink terminology?
  6. 3746
    por Jones, Brett D.
    Publicado 2020
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    Engaging Second Language Learners Using the MUSIC Model of Motivation
  7. 3747
    “…Recent research has observed that there are differences in the structure of the brain, specifically in white matter, when learning and using a second language. This work focuses on knowing the brain from the classification of Magnetic Resonance Images (MRIs) of bilingual and monolingual people who have English as their common language. …”
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    Machine Learning for Brain Images Classification of Two Language Speakers
  8. 3748
    “…This article presents data collected during a web-based survey on expressions used to describe thermal sensation and comfort in the Greek language. The survey used a structured questionnaire and delivered through Google Forms. …”
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    Data on verbal expressions for thermal sensation and comfort in the Greek language
  9. 3749
    por Cai, Qiaoying, Zheng, Xinmin
    Publicado 2020
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    Book Review: Language Teacher Cognition: A Sociocultural Perspective
  10. 3750
    por Konstantinidis, Stavros
    Publicado 2020
    “…LaSer, the formal language server, allows a user to enter a question about an independent language and provides an answer either in real time or by generating a program that can be executed at the user’s site. …”
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    Theoretical and Implementational Aspects of the Formal Language Server (LaSer)
  11. 3751
    “…The brain representation of language in bilinguals is sculptured by several factors, such as age of acquisition (AoA) and proficiency level (PL) in second language. …”
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    Dynamic Language Network in Early and Late Cantonese–Mandarin Bilinguals
  12. 3752
    “…We take ideas from the Scheme family of programming languages and solve these two problems simultaneously by proposing a novel hygienic macro system custom-built for ITPs. …”
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    Beyond Notations: Hygienic Macro Expansion for Theorem Proving Languages
  13. 3753
    por Finkel, Olivier
    Publicado 2020
    “…We prove that [Formula: see text]-languages of (non-deterministic) Petri nets and [Formula: see text]-languages of (non-deterministic) Turing machines have the same topological complexity: the Borel and Wadge hierarchies of the class of [Formula: see text]-languages of (non-deterministic) Petri nets are equal to the Borel and Wadge hierarchies of the class of [Formula: see text]-languages of (non-deterministic) Turing machines. …”
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    On the High Complexity of Petri Nets [Formula: see text]-Languages
  14. 3754
    “…Language learning apps have become increasingly popular. …”
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    Use of Adaptive Feedback in an App for English Language Spontaneous Speech
  15. 3755
    “…At the end of the review, Leap Motion sensor possibilities are described in detail, in order to consider its application on the field of sign language. This device has many positive characteristics that make it a good option for sign language. …”
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    Perspective and Evolution of Gesture Recognition for Sign Language: A Review
  16. 3756
    “…Building clinical natural language processing (NLP) systems that work on widely varying data is an absolute necessity because of the expense of obtaining new training data. …”
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    Rethinking domain adaptation for machine learning over clinical language
  17. 3757
    “…We asked participants to identify and explain models of well-being implicit in four Ghanaian languages (Akan, Dagbani, Ewe, and Ga). Participants were 19 men and 15 women (age range 32–92 years; Mean = 59.83; SD: 14.01). …”
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    Cultural Models of Well-Being Implicit in Four Ghanaian Languages
  18. 3758
    por Wu, Xing, Liang, Zhaowang, Wang, Jianjia
    Publicado 2020
    “…Federated learning (FL) is a privacy-preserving technique for training a vast amount of decentralized data and making inferences on mobile devices. As a typical language modeling problem, mobile keyboard prediction aims at suggesting a probable next word or phrase and facilitating the human-machine interaction in a virtual keyboard of the smartphone or laptop. …”
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    FedMed: A Federated Learning Framework for Language Modeling
  19. 3759
    por Piszcz, Anna, Sierocka, Halina
    Publicado 2020
    “…We would like to consider briefly the following questions: How can elements of legal language, as exemplified by proper names and euphemisms, be connected with cultural (extra-linguistic) factors influencing language units’ formation? …”
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    The Role of Culture in Legal Languages, Legal Interpretation and Legal Translation
  20. 3760
    “…Children (N = 1583) were from preschool through third grade classrooms and language and literacy skills were measured in the fall and spring of the school year. …”
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    Associations Between Children’s Media Use and Language and Literacy Skills
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