TY  - JOUR 
TI  - Conditional random fields in text  segmentation by language
PB  - Universidad Icesi
PY  - 2017
issn 1692-5238
AB  - This work presents using conditional random fields for solving the task of text segmentation by language, considering it as a sequence tagging task. Language changes are considered to occur in every part of the text, observations are assumed to be the words in the text, and the states are the different languages. Research let conclude that conditional random fields are a powerful tool for segmentation of multilingual text.
KW  - Segmentación
KW  - Herramienta tecnológica
KW  - Herramientas computacionales
KW  - Textos digitales
UR  - http://repository.icesi.edu.co/biblioteca_digital/handle/10906/84479
ER  -