Experimental tagging of the ORAL series corpora : Insights on using a stochastic tagger

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11210%2F15%3A10297728" target="_blank" >RIV/00216208:11210/15:10297728 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1007/978-3-319-24033-6" target="_blank" >http://dx.doi.org/10.1007/978-3-319-24033-6</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-319-24033-6" target="_blank" >10.1007/978-3-319-24033-6</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Experimental tagging of the ORAL series corpora : Insights on using a stochastic tagger

Popis výsledku v původním jazyce

The ORAL series corpora of spontaneous spoken Czech currently contain neither lemmatization nor part of speech tagging. The main reason for this is that readily available NLP tools, designed primarily with written texts in mind, underperform when applieddirectly to speech transcripts, due to various morpohological and syntactic specificities of informal spoken language and the ways these are captured in transcription. Recently, the highly optimized open-source MorphoDiTa toolchain for training and applying stochastic tagging models was released; MorphoDiTa makes it easy and fast to experiment with incremental changes in the training procedure. The article discusses modifications to the morphological dictionary and training data used by the models which are necessary in order to improve their performance on the ORAL series corpora, as well as challenges which remain to be solved.

Název v anglickém jazyce

Experimental tagging of the ORAL series corpora : Insights on using a stochastic tagger

Popis výsledku anglicky

The ORAL series corpora of spontaneous spoken Czech currently contain neither lemmatization nor part of speech tagging. The main reason for this is that readily available NLP tools, designed primarily with written texts in mind, underperform when applieddirectly to speech transcripts, due to various morpohological and syntactic specificities of informal spoken language and the ways these are captured in transcription. Recently, the highly optimized open-source MorphoDiTa toolchain for training and applying stochastic tagging models was released; MorphoDiTa makes it easy and fast to experiment with incremental changes in the training procedure. The article discusses modifications to the morphological dictionary and training data used by the models which are necessary in order to improve their performance on the ORAL series corpora, as well as challenges which remain to be solved.

Druh

D - Stať ve sborníku

CEP obor

AI - Jazykověda

OECD FORD obor

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Projekt

<a href="/cs/project/LM2011023" target="_blank" >LM2011023: Český národní korpus</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2015

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Text, Speech, and Dialogue

ISBN

978-3-319-24032-9

ISSN

—

e-ISSN

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Počet stran výsledku

9

Strana od-do

388-396

Název nakladatele

Springer International Publishing

Místo vydání

Switzerland

Místo konání akce

Plzeň

Datum konání akce

14. 9. 2015

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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