A System for Predictive Writing

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F14%3A00077507" target="_blank" >RIV/00216224:14330/14:00077507 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

A System for Predictive Writing

Popis výsledku v původním jazyce

Most predictive writing systems are based on n-gram model with different size. Systems designed for English are easier than those for flective languages since even smaller models allow reasonable coverage. However, the same corpus size is significantly insufficient for languages with many word forms. The paper presents a new predictive writing system based on n-grams calculated from a large corpus. We designed the high-performance server-side script that returns either the most probable endings of a word or the most probable following words. We also designed the client-side script that is suitable for desktop computers without touchscreens. We calculated 150 millions most frequent n-grams for n = 1, . . . , 12 from a Czech corpus and evaluated the writing system on Czech texts. The system was then extended by custom-built model that can consist of domain or user specific n-grams.

Název v anglickém jazyce

A System for Predictive Writing

Popis výsledku anglicky

Most predictive writing systems are based on n-gram model with different size. Systems designed for English are easier than those for flective languages since even smaller models allow reasonable coverage. However, the same corpus size is significantly insufficient for languages with many word forms. The paper presents a new predictive writing system based on n-grams calculated from a large corpus. We designed the high-performance server-side script that returns either the most probable endings of a word or the most probable following words. We also designed the client-side script that is suitable for desktop computers without touchscreens. We calculated 150 millions most frequent n-grams for n = 1, . . . , 12 from a Czech corpus and evaluated the writing system on Czech texts. The system was then extended by custom-built model that can consist of domain or user specific n-grams.

Druh

D - Stať ve sborníku

CEP obor

AI - Jazykověda

OECD FORD obor

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Projekt

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Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2014

Kód důvěrnosti údajů

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

Název statě ve sborníku

Eighth Workshop on Recent Advances in Slavonic Natural Language Processing

ISBN

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ISSN

2336-4289

e-ISSN

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Počet stran výsledku

8

Strana od-do

11-18

Název nakladatele

Tribun EU

Místo vydání

Brno

Místo konání akce

Brno

Datum konání akce

1. 1. 2014

Typ akce podle státní příslušnosti

CST - Celostátní akce

Kód UT WoS článku

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