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When the Easy Becomes Difficult: Factors Affecting the Acquisition of the English /iː/-/ɪ/ Contrast
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In: Frontiers in Communication ; 6 (2022)
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| 2 |
An Overview of Indian Spoken Language Recognition from Machine Learning Perspective
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In: ISSN: 2375-4699 ; EISSN: 2375-4702 ; ACM Transactions on Asian and Low-Resource Language Information Processing ; https://hal.inria.fr/hal-03616853 ; ACM Transactions on Asian and Low-Resource Language Information Processing, ACM, In press, ⟨10.1145/3523179⟩ (2022)
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| 3 |
Calculating semantic relatedness of lists of nouns using WordNet path length ...
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| 4 |
Impact of Sentence Representation Matching in Neural Machine Translation
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In: Applied Sciences; Volume 12; Issue 3; Pages: 1313 (2022)
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The Research on Consistency Checking and Improvement of Probabilistic Linguistic Preference Relation Based on Similarity Measure and Minimum Adjustment Model
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In: Mathematics; Volume 10; Issue 9; Pages: 1369 (2022)
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| 6 |
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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| 10 |
Capability Language Processing (CLP): Classification and Ranking of Manufacturing Suppliers Based on Unstructured Capability Data
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Abstract:
In manufacturing industry, data is available in both structured and unstructured forms. Although the unstructured data represented in natural language text contains valuable information and knowledge, its effective processing for the sake of information retrieval and knowledge extraction is a challenge. Manufacturing Capability data is an example of unstructured data widely used for describing the technological capabilities of manufacturing companies. The objective of this research is to use a set of text analytics techniques to enable automated classification and ranking of manufacturing companies based on their capability narratives available on their websites. For this purpose, a supervised classification method is used in conjunction with semantic similarity measurement method. A formal thesaurus that uses Simple Knowledge Organization System (SKOS) format provides structural and lexical semantics to support classification and ranking. To conduct semantic similarity measurement, edge-based method is combined with Normalized Google Distance (NGD) technique to create a weighted edgebased method for measuring the similarities of manufacturers’ capabilities with the queried capabilities provided by customers. The proposed framework is validated experimentally using a hypothetical search scenario. The results indicate that the generated ranked list is highly correlated with human judgment, especially if the query model and supplier capability model belong to the same class. However, the correlation decreases when multiple overlapping classes of suppliers are mixed. The findings of this research can be used to improve the precision and reliability of Capability Language Processing (CLP) tools and methods and improve the intelligence of supplier discovery and capability mapping platforms.
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Keyword:
Capability Language Processing (CLP); Capability modeling; Document classification; Formal thesaurus; Semantic similarity; Text mining
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URL: https://digital.library.txstate.edu/handle/10877/15707
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| 11 |
Usage-Based Contact Linguistics : Effects of Frequency and Similarity in Language Contact
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| 12 |
TSM: Measuring the Enticement of Honeyfiles with Natural Language Processing
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| 13 |
“Language thinking” from the perspective of systemic linguistics
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In: Russian Journal of Linguistics, Vol 26, Iss 1, Pp 224-244 (2022) (2022)
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| 14 |
Automatic Detection of Plagiarism in Writing
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In: Studies in Applied Linguistics & TESOL, Vol 21, Iss 2 (2022) (2022)
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| 15 |
Automatic Detection of Plagiarism in Writing
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In: Studies in Applied Linguistics & TESOL, Vol 21, Iss 2 (2022) (2022)
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| 16 |
Easy-to-use combination of POS and BERT model for domain-specific and misspelled terms
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In: NL4IA Workshop Proceedings ; https://hal.archives-ouvertes.fr/hal-03474696 ; NL4IA Workshop Proceedings, Nov 2021, Milan, Italy (2021)
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| 17 |
Investigating the impact of preprocessing on document embedding: an empirical comparison
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In: ISSN: 1759-1163 ; EISSN: 1759-1171 ; International Journal of Data Mining, Modelling and Management ; https://hal.inrae.fr/hal-03574696 ; International Journal of Data Mining, Modelling and Management, Inderscience, 2021, 13 (4), pp.351-363 (2021)
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| 18 |
Language distance in orthographic transparency affects cross-language pattern similarity between native and non-native languages.
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In: Human brain mapping, vol 42, iss 4 (2021)
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| 19 |
Avoiding gender ambiguous pronouns in French
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In: ISSN: 0010-0277 ; EISSN: 1873-7838 ; Cognition ; https://hal.archives-ouvertes.fr/hal-03374279 ; Cognition, Elsevier, 2021 (2021)
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