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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 3 4 5...52 Hits 1 – 20 of 1.032 1 When the Easy Becomes Difficult: Factors Affecting the Acquisition of the English /iː/-/ɪ/ Contrast Gavaldà, Núria; Cebrian, Juli; Gorba, Celia In: Frontiers in Communication ; 6 (2022) BASE Show details 2 An Overview of Indian Spoken Language Recognition from Machine Learning Perspective Dey, Spandan; Sahidullah, Md; Saha, Goutam 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) BASE Show details 3 Calculating semantic relatedness of lists of nouns using WordNet path length ... Neath, Ian. - : Open Science Framework, 2022 BASE Show details 4 Impact of Sentence Representation Matching in Neural Machine Translation Heeseung Jung; Kangil Kim; Jong-Hun Shin; Seung-Hoon Na; Sangkeun Jung; Sangmin Woo In: Applied Sciences; Volume 12; Issue 3; Pages: 1313 (2022) BASE Show details 5 The Research on Consistency Checking and Improvement of Probabilistic Linguistic Preference Relation Based on Similarity Measure and Minimum Adjustment Model Huimin Xiao; Shouwen Wu; Chunsheng Cui In: Mathematics; Volume 10; Issue 9; Pages: 1369 (2022) BASE Show details 6 Methods, Models and Tools for Improving the Quality of Textual Annotations Maria Teresa Artese; Isabella Gagliardi In: Modelling; Volume 3; Issue 2; Pages: 224-242 (2022) BASE Show details 7 Multiple choice woorden leren ... Baxter, Peta; Bekkering, Harold; Dijkstra, Ton. - : Radboud University, 2022 BASE Show details 8 Engelse woorden leren met Multiple Choice ... Baxter, Peta; Droop, Mienke; van den Hurk, Marianne. - : Radboud University, 2022 BASE Show details 9 Braille Tactile Similarity ... Baciero, Ana. - : Open Science Framework, 2022 BASE Show details 10 Capability Language Processing (CLP): Classification and Ranking of Manufacturing Suppliers Based on Unstructured Capability Data Zandbiglari, Kimia. - 2022 BASE Show details 11 Usage-Based Contact Linguistics : Effects of Frequency and Similarity in Language Contact Hakimov, Nikolay; Backus, Ad. - : Otto-Friedrich-Universität, 2022. : Bamberg, 2022 BASE Show details 12 TSM: Measuring the Enticement of Honeyfiles with Natural Language Processing Timmer, Roelien; Liebowitz, David; Nepal, Surya. - 2022 BASE Show details 13 “Language thinking” from the perspective of systemic linguistics Uldanai M. Bakhtikireeva; Olga I. Valentinova In: Russian Journal of Linguistics, Vol 26, Iss 1, Pp 224-244 (2022) (2022) BASE Show details 14 Automatic Detection of Plagiarism in Writing Mahshad Davoodifard In: Studies in Applied Linguistics & TESOL, Vol 21, Iss 2 (2022) (2022) BASE Show details 15 Automatic Detection of Plagiarism in Writing Mahshad Davoodifard In: Studies in Applied Linguistics & TESOL, Vol 21, Iss 2 (2022) (2022) BASE Show details 16 Easy-to-use combination of POS and BERT model for domain-specific and misspelled terms Benamar, Alexandra; Bothua, Meryl; Grouin, Cyril; Vilnat, Anne In: NL4IA Workshop Proceedings ; https://hal.archives-ouvertes.fr/hal-03474696 ; NL4IA Workshop Proceedings, Nov 2021, Milan, Italy (2021) Abstract: International audience ; In this paper, we present BERT-POS, a simple method for encoding syntax into BERT embeddings without retraining or finetuning data, based on Part-Of-Speech (POS). Although fine-tuning is the most popular method to apply BERT models on domain datasets, it remains expensive in terms of training time, computing resources, training data selection and retraining frequency. Our alternative works at the preprocessing level and relies on POS tagging sentences. It gives interesting results for words similarity regarding out-of-vocabulary both in terms of domain-specific words and misspellings. More specifically, the experiments were done on French language, but we believe that they would be similar on others. Keyword: [INFO.INFO-TT]Computer Science [cs]/Document and Text Processing; Language Models; Natural Language Processing; Out-of-Vocabulary Words; Part-Of-Speech; Semantic Similarity URL: https://hal.archives-ouvertes.fr/hal-03474696 https://hal.archives-ouvertes.fr/hal-03474696/document https://hal.archives-ouvertes.fr/hal-03474696/file/paper132.pdf BASE Hide details 17 Investigating the impact of preprocessing on document embedding: an empirical comparison Yahi, Nourelhouda; Belhadef, Hacene; Roche, Mathieu 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) BASE Show details 18 Language distance in orthographic transparency affects cross-language pattern similarity between native and non-native languages. Dong, Jie; Li, Aqian; Chen, Chuansheng... In: Human brain mapping, vol 42, iss 4 (2021) BASE Show details 19 Avoiding gender ambiguous pronouns in French Fukumura, Kumiko; Pozniak, Céline; Alario, F.-Xavier In: ISSN: 0010-0277 ; EISSN: 1873-7838 ; Cognition ; https://hal.archives-ouvertes.fr/hal-03374279 ; Cognition, Elsevier, 2021 (2021) BASE Show details 20 eXSTS: eXplainable Semantic Textual Similarity Cui, Jiarong. - 2021 BASE Show details Page: 1 2 3 4 5...52

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