Functioning of the word combination “da vsio ravno” in modern Russian language by Krylova Maria Nikolaevna

Subjects: “…function words…”
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Dynamic reconfiguration of default and frontoparietal network supports creative incubation by Ziyi Li, Ze Zhang, Tengteng Tan, Jing Luo

Subjects: “…KeyWord…”
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Comparison of ``What numbers make sense?'' problems solving in the Czech Republic and Lithuania by Ieva Kilienė

Subjects: “…word problems…”
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Word- or root-derived? A semantic test for instrumental denominal verbs in Italian by Alice Suozzi, Anna Cardinaletti

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The Beliefs, Myths, and Reality Surrounding the Word Hema (Blood) from Homer to the Present by John Meletis, Kostas Konstantopoulos

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The impact of length, rotation, and repetition in Arabic words: Event-related potential evidence by Mohamed Tarik N.

Subjects: “…word length…”
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Discovering emergent connections in quantum physics research via dynamic word embeddings by Felix Frohnert, Xuemei Gu, Mario Krenn, Evert van Nieuwenburg

Subjects: “…dynamic word embedding…”
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Patterns of Consonant Clusters in Word Initial, Medial, and Final Positions in Yemeni Arabic by Muhammed Jubran AL-Mamri

“… Yemeni Arabic (YA) has a significant number of consonant clusters in word initial, medial, and final positions. However, their frequency of usage is not uniform. …”
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Lateralized Cerebellar Contributions to Word Generation: A Phonemic and Semantic Fluency Study by Tom A. Schweizer, Michael P. Alexander, B. A. Susan Gillingham, Michael Cusimano, Donald T. Stuss

“…We tested twenty-two patients with chronic, unilateral cerebellar lesions (12 Left, 10 Right) and thirty controls on phonemic and semantic fluency tasks. We measured total words produced, words produced in the initial 15 seconds, errors and strategy switches. …”
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Effective Reading Interventions for Slow Learners : Sight Word and Phonemic Awareness Approaches by Jihan Salsabila Purnomo, Lucia R.M. Royanto

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Crowdsourcing Relative Rankings of Multi-Word Expressions: Experts versus Non-Experts by David Alfter, Therese Lindström Tiedemann, Elena Volodina

“…We ask non-experts (second language learners of Swedish) and two groups of experts (teachers of Swedish as a second/foreign language and CEFR experts) to rank multi-word expressions in a crowdsourcing experiment. We nd that the resulting rankings by all the three tested groups correlate to a very high degree, which suggests that judgments produced in a comparative setting are not inuenced by professional insights into Swedish as a second language. …”
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Some words about the IGU 2018 Regional Congress August 6-10 by Philippe Vidal

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Digital Words of Wisdom? Milia (AppleTree), An Online Platform for Digital Storytelling by Spanoudakis Manolis, Nakou Alexandra, Meliadou Eni, Gouscos Dimitris, Meimaris Michalis

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THE WORD SOOTVETSTVENNO IN ORAL DISCOURSE: SEMANTIC FEATURES, DISCOURSE FUNCTIONS, AND PROSODIC CHARACTERISTICS by Aleksandra A. Aisanova, Diana D. Marchenyak

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Word-based largest chunks for Agreement Groups processing: Cross-linguistic observations by László Drienkó

“… The present study reports results from a series of computer experiments seeking to combine word-based Largest Chunk (LCh) segmentation and Agreement Groups (AG) sequence processing. …”
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Word formation chains of denominal multistage derivatives with initial formant -iti in Slovenian by Kern Boris

Subjects: “…multistage word formation…”
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The perception of swear words by French learners of English: an experiment involving electrodermal activity by Anastasija Rastovic, Maud Pélissier, Emmanuel Ferragne

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Extracting Product Features and Opinion Words Using Pattern Knowledge in Customer Reviews by Su Su Htay, Khin Thidar Lynn

“…In this paper, we proposed a novel idea to find opinion words or phrases for each feature from customer reviews in an efficient way. …”
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TRANSLATION STRATEGIES OF BUSINESS-RELATED WORDS AND TERMS IN THE PRESS RELEASES OF EUROPEAN COMMISSION by Rosita Šimonytė Juškauskė, Ieva Brazauskaitė Zubavičienė, Jolanta Bareikienė, Asta Pukienė

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Deep Learning- and Word Embedding-Based Heterogeneous Classifier Ensembles for Text Classification by Zeynep H. Kilimci, Selim Akyokus

“…Deep learning-based methods provide better results in many applications when compared with the other conventional machine learning algorithms. Word embeddings enable representation of words learned from a corpus as vectors that provide a mapping of words with similar meaning to have similar representation. …”
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