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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 Hits 1 – 20 of 43 1 Machine-readable Finnish-Livvi bilingual translation dictionary ... Rantakaulio, Timo; Rueter, Jack; Pirinen, Flammie A.. - : Zenodo, 2022 BASE Show details 2 Machine-readable Finnish-Karelian bilingual translation dictionary ... Rantakaulio, Timo; Rueter, Jack; Pirinen, Flammie. - : Zenodo, 2022 BASE Show details 3 Machine-readable Finnish-Karelian bilingual translation dictionary ... Rantakaulio, Timo; Rueter, Jack; Pirinen, Flammie. - : Zenodo, 2022 BASE Show details 4 Machine-readable Northern Karelian Proper-Livvi bilingual translation dictionary ... Rantakaulio, Timo; Rueter, Jack; Pirinen, Flammie A.. - : Zenodo, 2022 BASE Show details 5 Machine-readable Finnish-Livvi bilingual translation dictionary ... Rantakaulio, Timo; Rueter, Jack; Pirinen, Flammie A.. - : Zenodo, 2022 BASE Show details 6 Machine-readable Northern Karelian Proper-Livvi bilingual translation dictionary ... Rantakaulio, Timo; Rueter, Jack; Pirinen, Flammie A.. - : Zenodo, 2022 BASE Show details 7 Multilingual Persuasion Dataset ... Pöyhönen, Teemu; Hämäläinen, Mika; Alnajjar, Khalid. - : Zenodo, 2022 BASE Show details 8 Multilingual Persuasion Dataset ... Pöyhönen, Teemu; Hämäläinen, Mika; Alnajjar, Khalid. - : Zenodo, 2022 BASE Show details 9 Developing Keyboards for the Endangered Livonian Language Hämäläinen, Mika; Alnajjar, Khalid In: Proceedings of the Fifth Workshop on Widening Natural Language Processing ; Widening NLP ; https://hal.archives-ouvertes.fr/hal-03431557 ; Widening NLP, Nov 2021, Punta Cana, Dominican Republic (2021) BASE Show details 10 Data for Finnish Dialect Detection ... Hämäläinen, Mika; Alnajjar, Khalid; Partanen, Niko. - : Zenodo, 2021 BASE Show details 11 Data for Finnish Dialect Detection ... Hämäläinen, Mika; Alnajjar, Khalid; Partanen, Niko. - : Zenodo, 2021 BASE Show details 12 !Qué maravilla! Multimodal Sarcasm Detection in Spanish: a Dataset and a Baseline ... Alnajjar, Khalid; Hämäläinen, Mika. - : arXiv, 2021 BASE Show details 13 Finnish Rumor Detection Dataset and Models ... Hämäläinen, Mika; Alnajjar, Khalid; Partanen, Niko. - : Zenodo, 2021 BASE Show details 14 Finnish Rumor Detection Dataset and Models ... Hämäläinen, Mika; Alnajjar, Khalid; Partanen, Niko. - : Zenodo, 2021 BASE Show details 15 Neural Morphology Dataset and Models for Multiple Languages, from the Large to the Endangered ... Hämäläinen, Mika; Partanen, Niko; Rueter, Jack. - : arXiv, 2021 BASE Show details 16 Processing M.A. Castrén's Materials: Multilingual Typed and Handwritten Manuscripts ... Partanen, Niko; Rueter, Jack; Hämäläinen, Mika. - : arXiv, 2021 BASE Show details 17 Never guess what I heard... Rumor Detection in Finnish News: a Dataset and a Baseline ... Hämäläinen, Mika; Alnajjar, Khalid; Partanen, Niko. - : arXiv, 2021 BASE Show details 18 The Current State of Finnish NLP ... Hämäläinen, Mika; Alnajjar, Khalid. - : arXiv, 2021 BASE Show details 19 Finnish Dialect Identification: The Effect of Audio and Text ... Hämäläinen, Mika; Alnajjar, Khalid; Partanen, Niko. - : arXiv, 2021 BASE Show details 20 Automatic Dialect Adaptation in Finnish and its Effect on Perceived Creativity Hämäläinen, Mika; Partanen, Niko; Alnajjar, Khalid; Rueter, Jack; Poibeau, Thierry In: 11th International Conference on Computational Creativity (ICCC’20) ; https://hal.archives-ouvertes.fr/hal-02977153 ; 11th International Conference on Computational Creativity (ICCC’20), Sep 2020, Coimbra, Portugal ; http://computationalcreativity.net/iccc20/ (2020) Abstract: Congrès en ligne suite au Covid. ; International audience ; We present a novel approach for adapting text written in standard Finnish to different dialects. We experiment with character level NMT models both by using a multi-dialectal and transfer learning approaches. The models are tested with over 20 different dialects. The results seem to favor transfer learning, although not strongly over the multi-dialectal approach. We study the influence dialectal adaptation has on perceived creativity of computer generated poetry. Our results suggest that the more the dialect deviates from the standard Finnish, the lower scores people tend to give on an existing evaluation metric. However, on a word association test, people associate creativity and originality more with dialect and fluency more with standard Finnish. Keyword: [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]; [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG]; [INFO.INFO-TT]Computer Science [cs]/Document and Text Processing; [SCCO.COMP]Cognitive science/Computer science; [SCCO.LING]Cognitive science/Linguistics; [SHS.INFO]Humanities and Social Sciences/Library and information sciences; [SHS.LANGUE]Humanities and Social Sciences/Linguistics; [SHS.STAT]Humanities and Social Sciences/Methods and statistics; dialects; Finnish; normalization; poetry URL: https://hal.archives-ouvertes.fr/hal-02977153/document https://hal.archives-ouvertes.fr/hal-02977153/file/ICCC20_finnish_dialect_normalization_1_.pdf https://hal.archives-ouvertes.fr/hal-02977153 BASE Hide details Page: 1 2 3

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