material ID: finnish

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Publication: TIPSTER (1983)

DOI: nan

Finnish is a highly inflectional language. A verb can have over ten thousand different surface forms - nominals slightly fewer. Consequently, a morphological analyzer is an important component of a …...

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Morfessor FlatCat: An HMM-Based Method for Unsupervised and Semi-Supervised Learning of Morphology

Authors: nan

Publication: TIPSTER (2014)

DOI: nan

Morfessor is a family of methods for learning morphological segmentations of words based on unannotated data. We introduce a new variant of Morfessor, FlatCat, that applies a hid- den Markov …...

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The Multilingual Paraphrase Database

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Publication: TIPSTER (2014)

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AbstractWe release a massive expansion of the paraphrase database (PPDB) that now includes a collection of paraphrases in 23 different languages. The resource is derived from large volumes of bilingual …...

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Evaluation of Dictionary Creating Methods for Finno-Ugric Minority Languages

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Publication: TIPSTER (2018)

DOI: nan

In this paper, we present the evaluation of several bilingual dictionary building methods applied to {Komi-Permyak, Komi-Zyrian, Hill Mari, Meadow Mari, Northern Saami, Udmurt}–{English, Finnish, Hungarian, Russian} language pairs. Since …...

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Initial Experiments in Data-Driven Morphological Analysis for Finnish

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Publication: TIPSTER (2018)

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This paper presents initial experiments in data-driven morphological analy- sis for Finnish using deep learning methods. Our system uses a character based bidirectional LSTM and pretrained word embeddings to predict …...

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Using Morphological Knowledge in Open-Vocabulary Neural Language Models

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Publication: TIPSTER (2018)

DOI: nan

AbstractLanguages with productive morphology pose problems for language models that generate words from a fixed vocabulary. Although character-based models allow any possible word type to be generated, they are linguistically …...

20904

Cross-Lingual Word Embeddings for Morphologically Rich Languages

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Publication: TIPSTER (2019)

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AbstractCross-lingual word embedding models learn a shared vector space for two or more languages so that words with similar meaning are represented by similar vectors regardless of their language. Although …...

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My Case, For an Adposition: Lexical Polysemy of Adpositions and Case Markers in Finnish and Latin

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Publication: TIPSTER (2022)

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AbstractAdpositions and case markers contain a high degree of polysemy and participate in unique semantic role configurations. We present a novel application of the SNACS supersense hierarchy to Finnish and …...

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Not always about you: Prioritizing community needs when developing endangered language technology

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Publication: TIPSTER (2022)

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AbstractLanguages are classified as low-resource when they lack the quantity of data necessary for training statistical and machine learning tools and models. Causes of resource scarcity vary but can include …...

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