Tagging a Corpus of Spoken Swedish
Bibliographic Data
| ID | 12621280 |
|---|---|
| Authors | Joakim Nivre (0000-0002-7873-3971, Department of Linguistics, Göteborg University, Sweden, corresponding author), Leif Grönqvist (Department of Linguistics, Göteborg University, Sweden) |
| Year | 2001 |
| Volume | 6 |
| Issue | 1 |
| Pages | 47-78 |
| Publication date | 2001-12-17 |
| Open Access | No |
| Type | ARTICLE |
| Venue | International Journal of Corpus Linguistics (JOURNAL) |
| Journal identifiers | ISSN: 1384-6655 • E-ISSN: 1569-9811 |
| Publisher | John Benjamins Publishing Company (PUBLISHER • NL) |
| DOI | 10.1075/ijcl.6.1.03niv |
| OpenAlex | W1982790797 |
| Language | EN |
| Citations received | 2 |
| References cited | 3 |
In this article, we present and evaluate a method for training a statistical part-of-speech tagger on data from written language and then adapting it to the requirements of tagging a corpus of transcribed spoken language, in our case spoken Swedish. This is currently a significant problem for many research groups working with spoken language, since the availability of tagged training data from spoken language is still very limited for most languages. The overall accuracy of the tagger developed for spoken Swedish is quite respectable, varying from 95% to 97% depending on the tagset used. In conclusion, we argue that the method presented here gives good tagging accuracy with relatively little effort
Corpus linguistics · Linguistics · Natural language processing · Part of speech · Part-of-speech tagging · Spoken language · Training set · Computer Science · Natural Language Processing Techniques · Speech Recognition and Synthesis · Topic Modeling · Artificial Intelligence
| Citations per year | 0.1 |
|---|---|
| Citation span | 2005 - 2016 (12) |
| Highly cited | No |