Name
Abstract | ||
|---|---|---|
This paper proposes an Automatic Korean Phoneme Generator (AKPG) that can be adapted to various natural language processing systems that handle raw input-text from users such as the Korean pronunciation education system Resolving noise and ambiguity is a precondition for correct natural language processing In order to satisfy this condition, the AKPG, as a module of an NLP system, combines linguistic and IR methods Preprocessing modules are incorporated into the AKPG to handle spelling-errors that render correct phoneme generation impossible In addition, the preprocessing modules convert alphanumeric symbols into Korean characters Finally, in order to remove part-of-speech (POS) ambiguities and those of homographs with the same POS, homograph collocations are collected from a large corpus using the IR method In addition, those homographs are integrated into dependency rules for partial parsing. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1007/11846406_56 | TSD |
Keywords | Field | DocType |
render correct phoneme generation,resolving noise,alphanumeric symbol,various natural language processing,automatic korean phoneme generation,automatic korean phoneme generator,input-text preprocessing,correct natural language processing,ir method,nlp system,korean character,korean pronunciation education system,satisfiability,part of speech,education system,natural language processing | Pronunciation,Speech processing,Computer science,Speech recognition,Natural language,Preprocessor,Homograph,Artificial intelligence,Natural language processing,Parsing,Ambiguity,Mathematical Alphanumeric Symbols | Conference |
Volume | ISSN | ISBN |
4188 | 0302-9743 | 3-540-39090-1 |
Citations | PageRank | References |
0 | 0.34 | 4 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mi-Young Kang | 1 | 40 | 11.87 |
| Sungwon Jung | 2 | 320 | 59.65 |
| Hyuk-Chul Kwon | 3 | 136 | 29.02 |
| Aesun Yoon | 4 | 25 | 8.69 |