Analyzing learner language: the case of the Hebrew Learner Essay Corpus

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F25%3AIPSEUEWA" target="_blank" >RIV/00216208:11320/25:IPSEUEWA - isvavai.cz</a>

Výsledek na webu

<a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85192898478&doi=10.1007%2fs10579-023-09712-w&partnerID=40&md5=de50d67246e8f7d50c3bb9d02e08e42f" target="_blank" >https://www.scopus.com/inward/record.uri?eid=2-s2.0-85192898478&doi=10.1007%2fs10579-023-09712-w&partnerID=40&md5=de50d67246e8f7d50c3bb9d02e08e42f</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/s10579-023-09712-w" target="_blank" >10.1007/s10579-023-09712-w</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Analyzing learner language: the case of the Hebrew Learner Essay Corpus

Popis výsledku v původním jazyce

We present the Hebrew Learner Essay Corpus (HELEECS): an annotated corpus of Hebrew language argumentative essays authored by prospective higher-education students. The corpus includes essays by two main populations: (1) essays by native speakers of Hebrew, written as part of the psychometric exam that is used to assess their future success in academic studies; (2) essays by non-native speakers of Hebrew, with three different native languages (Arabic, French, and Russian), that were written as part of a language aptitude test. The corpus is uniformly encoded and stored. The non-native essays were annotated with target hypotheses (i.e., hypothesized intended formulations in standard written Hebrew). The corpus is available for research purposes upon request. We describe the corpus and the error correction and annotation schemes used in its analysis. In addition to introducing this new resource, we discuss the challenges of identifying and analyzing non-native language use. Among these challenges are determining whether the language used in a particular utterance is native-like, and determining the target hypothesis when language use is non-native-like. We propose various ways for dealing with these challenges. © The Author(s) 2024.

Název v anglickém jazyce

Analyzing learner language: the case of the Hebrew Learner Essay Corpus

Popis výsledku anglicky

We present the Hebrew Learner Essay Corpus (HELEECS): an annotated corpus of Hebrew language argumentative essays authored by prospective higher-education students. The corpus includes essays by two main populations: (1) essays by native speakers of Hebrew, written as part of the psychometric exam that is used to assess their future success in academic studies; (2) essays by non-native speakers of Hebrew, with three different native languages (Arabic, French, and Russian), that were written as part of a language aptitude test. The corpus is uniformly encoded and stored. The non-native essays were annotated with target hypotheses (i.e., hypothesized intended formulations in standard written Hebrew). The corpus is available for research purposes upon request. We describe the corpus and the error correction and annotation schemes used in its analysis. In addition to introducing this new resource, we discuss the challenges of identifying and analyzing non-native language use. Among these challenges are determining whether the language used in a particular utterance is native-like, and determining the target hypothesis when language use is non-native-like. We propose various ways for dealing with these challenges. © The Author(s) 2024.

Druh

J_SC - Článek v periodiku v databázi SCOPUS

CEP obor

—

OECD FORD obor

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

Projekt

—

Návaznosti

—

Rok uplatnění

2024

Kód důvěrnosti údajů

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

Název periodika

Language Resources and Evaluation

ISSN

1574-020X

e-ISSN

—

Svazek periodika

2024

Číslo periodika v rámci svazku

2024

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

42

Strana od-do

1-42

Kód UT WoS článku

—

EID výsledku v databázi Scopus

2-s2.0-85192898478