ERNESTA: A Sentence Simplification Tool for Children's Stories in Italian

We present ERNESTA (Enhanced Readability through a Novel Event-based Simplification Tool), the first sentence simplification system for Italian, specifically developed to improve the comprehension of factual events in stories for children with low reading skills. The system performs two basic actions: First, it analyzes a text by resolving anaphoras (including null pronouns), so as to make all implicit information explicit. Then, it simplifies the story sentence by sentence at syntactic level, by producing simple statements in the present tense on the factual events described in the story. Our simplification strategy is driven by psycholinguistic principles and targets children aged 7 - 11 with text comprehension difficulties. The evaluation shows that our approach achieves promising results. Furthermore, ERNESTA could be exploited in different tasks, for instance in the generation of educational games and reading comprehension tests.

[1]  Jane Oakhill,et al.  Profiles of children with specific reading comprehension difficulties. , 2006, The British journal of educational psychology.

[2]  Advaith Siddharthan,et al.  Text Simplification using Typed Dependencies: A Comparision of the Robustness of Different Generation Strategies , 2011, ENLG.

[3]  C. Cornoldi,et al.  Role of working memory in explaining the performance of individuals with specific reading comprehension difficulties: A meta-analysis , 2009 .

[4]  Emanuele Pianta,et al.  The TextPro Tool Suite , 2008, LREC.

[5]  Hubert Tardieu,et al.  Processing of anaphoric devices in young skilled and less skilled comprehenders: Differences in metacognitive monitoring , 1999 .

[6]  Richard M. Schwartz,et al.  Hedge Trimmer: A Parse-and-Trim Approach to Headline Generation , 2003, HLT-NAACL 2003.

[7]  Massimo Poesio,et al.  The VENEX corpus of anaphora and deixis in spoken and written Italian , 2004 .

[8]  Daniel Marcu,et al.  Text Simplification for Information-Seeking Applications , 2004, CoopIS/DOA/ODBASE.

[9]  Felice Dell'Orletta,et al.  Multilingual Dependency Parsing and Domain Adaptation using DeSR , 2007, EMNLP.

[10]  Delphine Bernhard,et al.  Question Generation for French: Collating Parsers and Paraphrasing Questions , 2012, Dialogue Discourse.

[11]  Advaith Siddharthan,et al.  Complex Lexico-syntactic Reformulation of Sentences Using Typed Dependency Representations , 2010, INLG.

[12]  Pietro Lucisano,et al.  Gulpease: una formula per la predizione della leggibilita di testi in lingua italiana , 1988 .

[13]  Kate Nation,et al.  Suppressing Irrelevant Information from Working Memory: Evidence for Domain-Specific Deficits in Poor Comprehenders. , 2010 .

[14]  Marie-France Ehrlich,et al.  Skilled and less skilled comprehenders : French children's processing of anaphoric devices in written texts , 1997 .

[15]  Robert Meersman,et al.  On the Move to Meaningful Internet Systems 2004: CoopIS, DOA, and ODBASE , 2004, Lecture Notes in Computer Science.

[16]  Kate Nation,et al.  Hidden language impairments in children: parallels between poor reading comprehension and specific language impairment? , 2004, Journal of speech, language, and hearing research : JSLHR.

[17]  Marie-Francine Moens,et al.  Text simplification for children , 2010, SIGIR 2010.

[18]  Lucia Specia,et al.  Readability Assessment for Text Simplification , 2010 .

[19]  Simonetta Montemagni,et al.  READ–IT: Assessing Readability of Italian Texts with a View to Text Simplification , 2011, SLPAT.

[20]  Massimo Poesio,et al.  Evalita 2011: Anaphora Resolution Task , 2011, EVALITA.

[21]  Delphine Bernhard,et al.  Simplification syntaxique de phrases pour le français , 2012 .

[22]  Jane Oakhill,et al.  Effects of inference awareness training on poor reading comprehension , 1988 .

[23]  Kate Cain,et al.  Making sense of text : skills that support text comprehension and its development. , 2009 .

[24]  Ralph Weischedel,et al.  A STUDY OF TRANSLATION ERROR RATE WITH TARGETED HUMAN ANNOTATION , 2005 .

[25]  Joakim Nivre,et al.  MaltParser at the EVALITA 2009 Dependency Parsing Task , 2009 .

[26]  Emanuele Pianta,et al.  Making Readability Indices Readable , 2012, PITR@NAACL-HLT.

[27]  J. Clarke,et al.  Global inference for sentence compression : an integer linear programming approach , 2008, J. Artif. Intell. Res..