Research output: Contribution to journal › Article › peer-review
Towards a part-of-speech tagger for Sranan. / Cortegoso Vissio, Nicolás; Zakharov, Viktor .
In: International Journal of Open Information Technologies, Vol. 9, No. 12, 2021.Research output: Contribution to journal › Article › peer-review
}
TY - JOUR
T1 - Towards a part-of-speech tagger for Sranan
AU - Cortegoso Vissio, Nicolás
AU - Zakharov, Viktor
PY - 2021
Y1 - 2021
N2 - This paper is the continuation of a work submitted to the International Conference Corpus Linguistics 2021 [1]. On that occasion, a rule-based stochastic hybrid part-of-speech tagger (POS) was introduced for Sranan Tongo, a Creole language from South America with around half a million speakers. Since Sranan Tongo does not have a written corpus and text annotation is an expensive and time-consuming task, it was proposed to take a first step in training a POS tagger using only 550 hand-annotated sentences with part of speech tags.In this new contribution, the development of the POS tagger for Sranan Tongo goes a step further with the addition of more training data. For this matter, the tagger was used to annotate 2,406 sentences. The tagging results were hand-corrected and employed to retrain the model. A comparison is shown between the performance of the POS tagger on three texts before and after the inclusion of the new training data.
AB - This paper is the continuation of a work submitted to the International Conference Corpus Linguistics 2021 [1]. On that occasion, a rule-based stochastic hybrid part-of-speech tagger (POS) was introduced for Sranan Tongo, a Creole language from South America with around half a million speakers. Since Sranan Tongo does not have a written corpus and text annotation is an expensive and time-consuming task, it was proposed to take a first step in training a POS tagger using only 550 hand-annotated sentences with part of speech tags.In this new contribution, the development of the POS tagger for Sranan Tongo goes a step further with the addition of more training data. For this matter, the tagger was used to annotate 2,406 sentences. The tagging results were hand-corrected and employed to retrain the model. A comparison is shown between the performance of the POS tagger on three texts before and after the inclusion of the new training data.
UR - http://injoit.org/index.php/j1/article/view/1235
M3 - Article
VL - 9
JO - International Journal of Open Information Technologies
JF - International Journal of Open Information Technologies
SN - 2307-8162
IS - 12
ER -
ID: 88391256