Arabic word analogies and semantics of simple phrases

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F18%3A43952919" target="_blank" >RIV/49777513:23520/18:43952919 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1109/ICNLSP.2018.8374386" target="_blank" >http://dx.doi.org/10.1109/ICNLSP.2018.8374386</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/ICNLSP.2018.8374386" target="_blank" >10.1109/ICNLSP.2018.8374386</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Arabic word analogies and semantics of simple phrases

Popis výsledku v původním jazyce

Vector semantic spaces, in which a multi-dimensional numeric vector is used to represent the meaning of a word, are making new natural language applications possible. Word analogies have become a standard tool to evaluate semantic spaces. They also teach us something about what kinds of information the vectors in the semantic space can embody. Arabic orthography has morphological constructs which are realized in syntax in some other languages: the presence or absence of the article; prepositional prefixes; verbs with object suffixes can constitute an entire sentence. The structured word-forms offer the opportunity to study how vector representations of meaning interact in the semantic space to form verb phrases, noun phrases, and prepositional phrases. We provide a corpus of Arabic analogies focused on the morphological constructs which can participate in some of these phrases. We conducted an examination of ten different semantic spaces to see which of them is most appropriate for this set of analogies, and we illustrate the use of the corpus to examine phrase-building.

Název v anglickém jazyce

Arabic word analogies and semantics of simple phrases

Popis výsledku anglicky

Vector semantic spaces, in which a multi-dimensional numeric vector is used to represent the meaning of a word, are making new natural language applications possible. Word analogies have become a standard tool to evaluate semantic spaces. They also teach us something about what kinds of information the vectors in the semantic space can embody. Arabic orthography has morphological constructs which are realized in syntax in some other languages: the presence or absence of the article; prepositional prefixes; verbs with object suffixes can constitute an entire sentence. The structured word-forms offer the opportunity to study how vector representations of meaning interact in the semantic space to form verb phrases, noun phrases, and prepositional phrases. We provide a corpus of Arabic analogies focused on the morphological constructs which can participate in some of these phrases. We conducted an examination of ten different semantic spaces to see which of them is most appropriate for this set of analogies, and we illustrate the use of the corpus to examine phrase-building.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

<a href="/cs/project/LO1506" target="_blank" >LO1506: Podpora udržitelnosti centra NTIS - Nové technologie pro informační společnost</a><br>

Návaznosti

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

Rok uplatnění

2018

Kód důvěrnosti údajů

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

Název statě ve sborníku

Proceedings of the 2nd International Conference on Natural Language and Speech Processing (ICNLSP 2018)

ISBN

978-1-5386-4543-7

ISSN

—

e-ISSN

neuvedeno

Počet stran výsledku

6

Strana od-do

1-6

Název nakladatele

Institute of Electrical and Electronics Engineers Inc.

Místo vydání

neuveden

Místo konání akce

Algiers, Algeria

Datum konání akce

25. 4. 2018

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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