TY - JOUR

T1 - Towards a part-of-speech tagger for Sranan Tongo

AU - Cortegoso Vissio, Nicolás

AU - Zakharov, Viktor

N1 - Cortegoso Vissio N., Zakharov V. Towards a part-of-speech tagger for Sranan Tongo // International Journal of Open Information Technologies. Vol 9, No 12 (2021). P. 99-103.

PY - 2021

Y1 - 2021

N2 - his 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 - his 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.

M3 - Article

VL - 9

SP - 99

EP - 103

JO - International Journal of Open Information Technologies

JF - International Journal of Open Information Technologies

SN - 2307-8162

IS - 12

ER -