504 research outputs found

    LSI najlepsze

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    LSI najlepsze - warsztat 18.09.201

    Polish politics with linguistic background

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    Speeches by MPs with language background

    Speech Recognition System for Polish: Studio Quality

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    This resource contains dockerized models and scripts of an automatic speech recognition system for Polish trained on studio quality speech. The system is based on the Kaldi toolkit. The scripts include methods for performing speech recognition, forced alignment and a lenient alignment of audio. The Github repository contains information on how to use the tool

    PELCRA EMO corpus

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    The corpus comprises 30 focused structured interviews (17 hours and ca. 200000 word tokens) centred on the topic of emotions. The corpus has bibliographic, morphosyntactic and sociolinguistic annotation

    Word Sense Disambiguation tool WoSeDon

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    Word sense disambiguation tool using rich, semantic resources

    KPWr annotation guidelines - normalisation of temporal expressions

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    KPWr annotation guidelines - local and global normalisation of temporal expression

    PELCRA PARL corpus

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    The corpus comprises 50 sampled recordings (12 hours) and manual transcriptions (ca. 101 00 word tokens) of parliamentary data

    Tajemnicza Wyspa

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    Wolnelektury tajemnicza wyspa (Jules Verne) - część

    Speech Recognition System for Polish: Parliamentary Speech

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    This resource contains dockerized models and scripts of an automatic speech recognition system for Polish trained on Polish Parliament speeches. The system is based on the Kaldi toolkit. The scripts include methods for performing speech recognition, forced alignment and a lenient alignment of audio. The Github repository contains information on how to use the tool

    Bulhakov - corpus of events, temporal expressions and temporal relations

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    The corpus contains the text of the short story "Fatalne jaja" by Michaił Bułhakov (http:// www.wolnelektury.pl). The corpus is manually annotated with temporal expressions, events and temporal relations using TimeML gudelines adapted to Polish

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