PtTenTen: A corpus for Portuguese lexicography

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F14%3A00075222" target="_blank" >RIV/00216224:14330/14:00075222 - isvavai.cz</a>

Výsledek na webu

<a href="http://www.bloomsbury.com/uk/working-with-portuguese-corpora-9781441190505/" target="_blank" >http://www.bloomsbury.com/uk/working-with-portuguese-corpora-9781441190505/</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

PtTenTen: A corpus for Portuguese lexicography

Popis výsledku v původním jazyce

There are many benefits to using corpora. In order to reap those rewards, how should someone who is setting up a dictionary project proceed? We describe a practical experience of such ´setting up? for a new Portuguese-English, English-Portuguese dictionary being written at Oxford University Press. We focus on the Portuguese side, as OUP did not have Portuguese resources prior to the project. We collected a very large (3.5 billion word) corpus from the web, including removing all unwanted material and duplicates. We then identified the best tools for Portuguese for lemmatizing and parsing, and undertook the very large task of parsing it. We then used the dependency parses, as output by the parser, to create word sketches (one page summaries of a word?sgrammatical and collocational behavior). We plan to customize an existing system for automatically identifying good candidate dictionary examples, to Portuguese, and add salient information about regional words to the word sketches.

Název v anglickém jazyce

PtTenTen: A corpus for Portuguese lexicography

Popis výsledku anglicky

There are many benefits to using corpora. In order to reap those rewards, how should someone who is setting up a dictionary project proceed? We describe a practical experience of such ´setting up? for a new Portuguese-English, English-Portuguese dictionary being written at Oxford University Press. We focus on the Portuguese side, as OUP did not have Portuguese resources prior to the project. We collected a very large (3.5 billion word) corpus from the web, including removing all unwanted material and duplicates. We then identified the best tools for Portuguese for lemmatizing and parsing, and undertook the very large task of parsing it. We then used the dependency parses, as output by the parser, to create word sketches (one page summaries of a word?sgrammatical and collocational behavior). We plan to customize an existing system for automatically identifying good candidate dictionary examples, to Portuguese, and add salient information about regional words to the word sketches.

Druh

C - Kapitola v odborné knize

CEP obor

IN - Informatika

OECD FORD obor

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Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2014

Kód důvěrnosti údajů

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

Název knihy nebo sborníku

Working with Portuguese Corpora

ISBN

9781441190505

Počet stran výsledku

8

Strana od-do

280-287

Počet stran knihy

320

Název nakladatele

Bloomsbury Publishing

Místo vydání

London

Kód UT WoS kapitoly

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