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1
Neural Morphology Dataset and Models for Multiple Languages, from the Large to the Endangered ...
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2
Processing M.A. Castrén's Materials: Multilingual Typed and Handwritten Manuscripts ...
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3
Never guess what I heard... Rumor Detection in Finnish News: a Dataset and a Baseline ...
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4
Finnish Dialect Identification: The Effect of Audio and Text ...
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5
Normalization of Different Swedish Dialects Spoken in Finland ...
Abstract: Our study presents a dialect normalization method for different Finland Swedish dialects covering six regions. We tested 5 different models, and the best model improved the word error rate from 76.45 to 28.58. Contrary to results reported in earlier research on Finnish dialects, we found that training the model with one word at a time gave best results. We believe this is due to the size of the training data available for the model. Our models are accessible as a Python package. The study provides important information about the adaptability of these methods in different contexts, and gives important baselines for further study. ... : In Proceedings of the 4th ACM SIGSPATIAL Workshop on Geospatial Humanities (GeoHumanities'20) ...
Keyword: Computation and Language cs.CL; FOS Computer and information sciences
URL: https://dx.doi.org/10.48550/arxiv.2012.05318
https://arxiv.org/abs/2012.05318
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6
Automatic Dialect Adaptation in Finnish and its Effect on Perceived Creativity ...
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7
Ve'rdd. Narrowing the Gap between Paper Dictionaries, Low-Resource NLP and Community Involvement ...
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