Results 41 to 50 of about 1,711,686 (277)

An error analysis on Turkish EFL learners’ writing tasks

open access: yesLiteracy Trek, 2022
This descriptive qualitative study aimed to investigate the types and sources of errors committed by Turkish students learning English as a foreign language (EFL) in their foreign language (L2) writings as well as find out whether there is a difference ...
Berfu Duygun, Pınar Karabacak
doaj   +1 more source

Grammatical relations typology [PDF]

open access: yes, 2010
Traditionally, the term "grammatical relation" (GR) refers to the morphosyntactic properties that relate an argument to a clause, as, for example, its subject or its object.
Balthasar Bickel   +2 more
core   +1 more source

System Combination for Grammatical Error Correction [PDF]

open access: yesProceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2014
Different approaches to high-quality grammatical error correction have been proposed recently, many of which have their own strengths and weaknesses. Most of these approaches are based on classification or statistical machine translation (SMT). In this paper, we propose to combine the output from a classification-based system and an SMT-based system to
Raymond Hendy Susanto   +2 more
openaire   +1 more source

AN ANALYSIS OF STUDENTS’ GRAMMATICAL ERROR IN WRITING PERSONAL LETTER

open access: yesELT Echo: The Journal of English Language Teaching in Foreign Language Context, 2021
This study aimed to find out grammatical errors in writing personal letter and the most grammatical errors made by the eleventh graders of SMA Negeri 5 Ogan Komering Ilir. This study used descriptive qualitative research method.
Dewi - Sartika, Inka Sundari, Ratna Nery
doaj   +1 more source

Neural Grammatical Error Correction for Romanian

open access: yes2020 IEEE 32nd International Conference on Tools with Artificial Intelligence (ICTAI), 2020
Resources for Grammatical Error Correction (GEC) in non-English languages are scarce, while available spellcheckers in these languages are mostly limited to simple corrections and rules. In this paper we introduce a first GEC corpus for Romanian consisting of 10k pairs of sentences.
Teodor-Mihai Cotet   +2 more
openaire   +3 more sources

Guessing the grammatical function of a non-root f-structure in LFG [PDF]

open access: yes, 2009
Lexical-Functional Grammar (Kaplan and Bresnan, 1982) f-structures are bilexical labelled dependency representations. We show that the Naive Bayes classifier is able to guess missing grammatical function labels (i.e.
Bryl, Anton   +2 more
core   +4 more sources

Grammatical Error Analysis of English Abstracts Translation in Jurnal Ilmiah Ekonomi Islam (JIEI) Journal

open access: yesLite: Jurnal Bahasa, Sastra, dan Budaya, 2021
Scientific writing like abstract demands perfect grammar writing in academic language. A common error usually is the use of an automated translator such as Google Translate to translate abstracts from Indonesian to English. The translation produced needs
Tira Nur Fitria
doaj   +1 more source

Using parse features for preposition selection and error detection [PDF]

open access: yes, 2010
We evaluate the effect of adding parse features to a leading model of preposition usage. Results show a significant improvement in the preposition selection task on native speaker text and a modest increment in precision and recall in an ESL error ...
Foster, Jennifer   +2 more
core   +2 more sources

The effect of written corrective feedback on grammatical accuracy of EFL students: An improvement over previous unfocused designs [PDF]

open access: yesIranian Journal of Language Teaching Research, 2016
The effectiveness of written corrective feedback (WCF) in the improvement of language learners' grammatical accuracy has been a topic of interest in SLA studies for the past couple of decades.
Mobin Khanlarzadeh, Majid Nemati
doaj  

Modelling stem cell differentiation related processes—A practical overview for biologists

open access: yesFEBS Letters, EarlyView.
Stem cell differentiation is complex and difficult to control experimentally. This review introduces suitable computational modelling approaches that can support stem cell research, from mechanistic ODE and abstract models to multiscale and deep learning methods.
Ricco Zeegelaar   +4 more
wiley   +1 more source

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