Quantifying cross-linguistic variation in grapheme-to-phoneme mapping

14th Annual Conference of the International Speech Communication Association, 25 augustus 2013

[1]  Philipp Koehn,et al.  Europarl: A Parallel Corpus for Statistical Machine Translation , 2005, MTSUMMIT.

[2]  S. Bengio,et al.  Phoneme-grapheme based speech recognition system , 2003, 2003 IEEE Workshop on Automatic Speech Recognition and Understanding (IEEE Cat. No.03EX721).

[3]  Nelleke Oostdijk.  Het Corpus Gesproken Nederlands: veelzijdig onderzoeksinstrument voor o.a. taalkundig en taal- en spraaktechnologisch onderzoek , 2003 .

[4]  Mathew Magimai-Doss,et al.  A Study of Phoneme and Grapheme Based Context-Dependent ASR Systems , 2007, MLMI.

[5]  Caren Brinckmann,et al.  German Today: a really extensive Corpus of Spoken Standard German , 2008, LREC.

[6]  Ram Frostt,et al.  Prelexical and Postlexical Strategies in Reading : Evidence from a Deep and a Shallow Orthography * , 2009 .

[7]  Jelena Kuvač Kraljević,et al.  The role of orthography in early reading acquisition in children with SLI: Crosslinguistic study. , 2011 .

[8]  R. H. Baayen,et al.  The CELEX Lexical Database (CD-ROM) , 1996 .

[9]  Louis ten Bosch,et al.  Balancing word lists in speech audiometry through large spoken language corpora , 2013, INTERSPEECH.

[10]  H. Wimmer,et al.  The impact of orthographic consistency on dyslexia: A German-English comparison , 1997, Cognition.

[11]  J. Ziegler,et al.  Orthographic Depth and Its Impact on Universal Predictors of Reading , 2010, Psychological science.

[12]  P. H. Seymour,et al.  Foundation literacy acquisition in European orthographies. , 2003, British journal of psychology.

[13]  Frauke M. Hellwig,et al.  Onset Entropy Matters – Letter-to-phoneme Mappings in Seven Languages , 2005 .