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The role of object novelty and pragmatic reasoning in referent selection and word learning (Study 2b) ...
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MORPHOLOGICAL AND IDENTITY PRIMING IN WORD LEARNING AND TEXT READING AS A WINDOW INTO THE MENTAL LEXICON
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Data From: A Protracted Developmental Trajectory for English-Learning Children’s Detection of Consonant Mispronunciations in Newly Learned Words
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In: Speech and Hearing Sciences Faculty Datasets (2022)
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Xie, X., Liu, L., & Jaeger, T. F. (2021-JEP:G). Cross-talker generalization in the perception of non-nativespeech: a large-scale replication ...
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Preschool Children’s Processing of Events during Verb Learning: Is the Focus on People (Faces) or Their Actions (Hands)?
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In: Brain Sciences; Volume 12; Issue 3; Pages: 344 (2022)
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Analysis of the Effects of Lockdown on Staff and Students at Universities in Spain and Colombia Using Natural Language Processing Techniques
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In: International Journal of Environmental Research and Public Health; Volume 19; Issue 9; Pages: 5705 (2022)
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Deep Sentiment Analysis Using CNN-LSTM Architecture of English and Roman Urdu Text Shared in Social Media
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In: Applied Sciences; Volume 12; Issue 5; Pages: 2694 (2022)
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Vec2Dynamics: A Temporal Word Embedding Approach to Exploring the Dynamics of Scientific Keywords—Machine Learning as a Case Study
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In: Big Data and Cognitive Computing; Volume 6; Issue 1; Pages: 21 (2022)
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Methods, Models and Tools for Improving the Quality of Textual Annotations
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In: Modelling; Volume 3; Issue 2; Pages: 224-242 (2022)
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Abstract:
In multilingual textual archives, the availability of textual annotation, that is keywords either manually or automatically associated with texts, is something worth exploiting to improve user experience and successful navigation, search and visualization. It is therefore necessary to study and develop tools for this exploitation. The paper aims to define models and tools for handling textual annotations, in our case keywords of a scientific library. With the background of NLP, machine learning and deep learning approaches are presented. They allow us, in supervised and unsupervised ways, to increase the quality of keywords. The different steps of the pipeline are addressed, and different solutions are analyzed, implemented, evaluated and compared, using statistical methods, machine learning and artificial neural networks as appropriate. If possible, off-the-shelf solutions will also be compared. The models are trained on different datasets already available or created ad hoc with common characteristics with the starting dataset. The results obtained are presented, commented and compared with each other.
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Keyword:
LSTM; machine learning algorithms; multilingual datasets; neural networks; semantic relatedness; sequence2sequence; syntactic similarity; word embedding models
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URL: https://doi.org/10.3390/modelling3020015
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TASE: Task-Aware Speech Enhancement for Wake-Up Word Detection in Voice Assistants
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In: Applied Sciences; Volume 12; Issue 4; Pages: 1974 (2022)
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Stimulus and response conflict from a second language: Stroop interference in weakly-bilingual and recently-trained languages
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In: ISSN: 0001-6918 ; EISSN: 1873-6297 ; Acta Psychologica ; https://hal.archives-ouvertes.fr/hal-03356475 ; Acta Psychologica, Elsevier, 2021, 218, pp.103360. ⟨10.1016/j.actpsy.2021.103360⟩ (2021)
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Variation in phonological bias: Bias for vowels, rather than consonants or tones in lexical processing by Cantonese-learning toddlers
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In: ISSN: 0010-0277 ; EISSN: 1873-7838 ; Cognition ; https://hal.archives-ouvertes.fr/hal-02997489 ; Cognition, Elsevier, 2021, 213, pp.104486. ⟨10.1016/j.cognition.2020.104486⟩ (2021)
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SCALa: A blueprint for computational models of language acquisition in social context
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In: ISSN: 0010-0277 ; EISSN: 1873-7838 ; Cognition ; https://hal.inria.fr/hal-03373586 ; Cognition, Elsevier, 2021, 213, pp.104779. ⟨10.1016/j.cognition.2021.104779⟩ (2021)
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Variation in phonological bias: Bias for vowels, rather than consonants or tones in lexical processing by Cantonese-learning toddlers
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In: ISSN: 0010-0277 ; EISSN: 1873-7838 ; Cognition ; https://hal.archives-ouvertes.fr/hal-03391035 ; Cognition, Elsevier, 2021, 213, pp.104486. ⟨10.1016/j.cognition.2020.104486⟩ (2021)
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Subjective confidence influences word learning in a cross-situational statistical learning task
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In: ISSN: 0749-596X ; EISSN: 1096-0821 ; Journal of Memory and Language ; https://hal.archives-ouvertes.fr/hal-03468212 ; Journal of Memory and Language, Elsevier, 2021, 121, pp.104277 (2021)
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Familiar words can serve as a semantic seed for syntactic bootstrapping
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In: ISSN: 1363-755X ; EISSN: 1467-7687 ; Developmental Science ; https://hal.archives-ouvertes.fr/hal-03098829 ; Developmental Science, Wiley, 2021, 24 (1), pp.e13010. ⟨10.1111/desc.13010⟩ (2021)
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