Évaluation automatique de textes et cohésion lexicale
Automatic essay grading is currently experiencing a growing popularity because of its importance in the field of education and, particularly, in foreign language learning. While several efficient systems have been developed over the last fifteen years, almost none of them take the discourse level in...
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| Format: | Article |
| Language: | English |
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Presses universitaires de Caen
2012-12-01
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| Series: | Discours |
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| Online Access: | https://journals.openedition.org/discours/8724 |
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| _version_ | 1832581860702552064 |
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| author | Yves Bestgen |
| author_facet | Yves Bestgen |
| author_sort | Yves Bestgen |
| collection | DOAJ |
| description | Automatic essay grading is currently experiencing a growing popularity because of its importance in the field of education and, particularly, in foreign language learning. While several efficient systems have been developed over the last fifteen years, almost none of them take the discourse level into account. Recently, a few studies proposed to fill this gap by means of automatic indexes of lexical cohesion obtained from Latent Semantic Analysis, but the results were disappointing. Based on a well-known model of writing expertise, the present study proposes a new index of cohesion derived from work on the thematic segmentation of texts. The efficiency of this index is supported through the analysis of a corpus of 223 essays of learners of English as a foreign language. The conclusion discusses the main limitations of this exploratory study and proposes further avenues for development. |
| format | Article |
| id | doaj-art-9e930ee21c994271a0e17f41afda1a32 |
| institution | Kabale University |
| issn | 1963-1723 |
| language | English |
| publishDate | 2012-12-01 |
| publisher | Presses universitaires de Caen |
| record_format | Article |
| series | Discours |
| spelling | doaj-art-9e930ee21c994271a0e17f41afda1a322025-01-30T09:52:44ZengPresses universitaires de CaenDiscours1963-17232012-12-011110.4000/discours.8724Évaluation automatique de textes et cohésion lexicaleYves BestgenAutomatic essay grading is currently experiencing a growing popularity because of its importance in the field of education and, particularly, in foreign language learning. While several efficient systems have been developed over the last fifteen years, almost none of them take the discourse level into account. Recently, a few studies proposed to fill this gap by means of automatic indexes of lexical cohesion obtained from Latent Semantic Analysis, but the results were disappointing. Based on a well-known model of writing expertise, the present study proposes a new index of cohesion derived from work on the thematic segmentation of texts. The efficiency of this index is supported through the analysis of a corpus of 223 essays of learners of English as a foreign language. The conclusion discusses the main limitations of this exploratory study and proposes further avenues for development.https://journals.openedition.org/discours/8724automatic essay gradinglexical cohesionthematic segmentationwriting strategieslexical diversityLatent Semantic Analysis |
| spellingShingle | Yves Bestgen Évaluation automatique de textes et cohésion lexicale Discours automatic essay grading lexical cohesion thematic segmentation writing strategies lexical diversity Latent Semantic Analysis |
| title | Évaluation automatique de textes et cohésion lexicale |
| title_full | Évaluation automatique de textes et cohésion lexicale |
| title_fullStr | Évaluation automatique de textes et cohésion lexicale |
| title_full_unstemmed | Évaluation automatique de textes et cohésion lexicale |
| title_short | Évaluation automatique de textes et cohésion lexicale |
| title_sort | evaluation automatique de textes et cohesion lexicale |
| topic | automatic essay grading lexical cohesion thematic segmentation writing strategies lexical diversity Latent Semantic Analysis |
| url | https://journals.openedition.org/discours/8724 |
| work_keys_str_mv | AT yvesbestgen evaluationautomatiquedetextesetcohesionlexicale |