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Found 36 papers, 13 papers with code
Linguistic change and historical periodization of Old Literary Finnish
In this study, we have normalized and lemmatized an Old Literary Finnish corpus using a lemmatization model trained on texts from Agricola.
Processing M.A. Castrén’s Materials: Multilingual Historical Typed and Handwritten Manuscripts
The study forms a technical report of various tasks that have been performed on the materials collected and published by Finnish ethnographer and linguist, Matthias Alexander Castrén (1813–1852).
Uralic Language Identification (ULI) 2020 shared task dataset and the Wanca 2017 corpora
This article introduces the Wanca 2017 web corpora from which the sentences written in minor Uralic languages were collected for the test set of the Uralic Language Identification (ULI) 2020 shared task.
A Report on the VarDial Evaluation Campaign 2020
This paper presents the results of the VarDial Evaluation Campaign 2020 organized as part of the seventh workshop on Natural Language Processing (NLP) for Similar Languages, Varieties and Dialects (VarDial), co-located with COLING 2020.
Findings of the VarDial Evaluation Campaign 2021
This paper describes the results of the shared tasks organized as part of the VarDial Evaluation Campaign 2021.
Semiautomatic Speech Alignment for Under-Resourced Languages
Cross-language forced alignment is a solution for linguists who create speech corpora for very low-resource languages.
Processing M.A. Castrén's Materials: Multilingual Typed and Handwritten Manuscripts
The study forms a technical report of various tasks that have been performed on the materials collected and published by Finnish ethnographer and linguist, Matthias Alexander Castr\'en (1813-1852).
Detecting Depression in Thai Blog Posts: a Dataset and a Baseline
We present the first openly available corpus for detecting depression in Thai.
Finnish Dialect Identification: The Effect of Audio and Text
Finnish is a language with multiple dialects that not only differ from each other in terms of accent (pronunciation) but also in terms of morphological forms and lexical choice.
How Cute is Pikachu? Gathering and Ranking Pokémon Properties from Data with Pokémon Word Embeddings
Based on our experiments, it is better to train a model with domain specific data than to use a pretrained model.
Lemmatization of Historical Old Literary Finnish Texts in Modern Orthography
Texts written in Old Literary Finnish represent the first literary work ever written in Finnish starting from the 16th century.
Apurinã Universal Dependencies Treebank
The construction of the treebank has also served as an opportunity to develop finite-state description of the language and facilitate the transfer of open-source infrastructure possibilities to an endangered language of the Amazon.
Never guess what I heard... Rumor Detection in Finnish News: a Dataset and a Baseline
However, a model fine-tuned on Multilingual BERT reaches the best factual label accuracy of 97. 2%.
Neural Morphology Dataset and Models for Multiple Languages, from the Large to the Endangered
We train neural models for morphological analysis, generation and lemmatization for morphologically rich languages.
Normalization of Different Swedish Dialects Spoken in Finland
Our study presents a dialect normalization method for different Finland Swedish dialects covering six regions.
Speech Recognition for Endangered and Extinct Samoyedic languages
Our study presents a series of experiments on speech recognition with endangered and extinct Samoyedic languages, spoken in Northern and Southern Siberia.
Ve'rdd. Narrowing the Gap between Paper Dictionaries, Low-Resource NLP and Community Involvement
We present an open-source online dictionary editing system, Ve'rdd, that offers a chance to re-evaluate and edit grassroots dictionaries that have been exposed to multiple amateur editors.
Open-Source Morphology for Endangered Mordvinic Languages
This document describes shared development of finite-state description of two closely related but endangered minority languages, Erzya and Moksha.
Automated Prediction of Medieval Arabic Diacritics
This study uses a character level neural machine translation approach trained on a long short-term memory-based bi-directional recurrent neural network architecture for diacritization of Medieval Arabic.
Automatic Dialect Adaptation in Finnish and its Effect on Perceived Creativity
The models are tested with over 20 different dialects.
Uralic Language Identification (ULI) 2020 shared task dataset and the Wanca 2017 corpus
This article introduces the Wanca 2017 corpus of texts crawled from the internet from which the sentences in rare Uralic languages for the use of the Uralic Language Identification (ULI) 2020 shared task were collected.
Improving the Language Model for Low-Resource ASR with Online Text Corpora
Previous experiments showed that transfer learning using DeepSpeech can improve the accuracy of a speech recognizer for Komi, though the error rate remained very high.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+3
Dialect Text Normalization to Normative Standard Finnish
We compare different LSTMs and transformer models in terms of their effectiveness in normalizing dialectal Finnish into the normative standard Finnish.
