Results 151 to 160 of about 645,699 (249)

Annotation Error Detection and Correction for Indonesian POS Tagging Corpus [PDF]

Linguistic Corpus is the primary material for training and evaluating machine learning models, especially for POS Tagging. However, the human-annotated corpus is not free from annotation errors.
Muhammad Alfian, Daniel Siahaan, Harum Munazharoh, Umi Laili Yuhana   +3 more
core   +2 more sources

Analisis Sentimen Berbasis Aspek Kinerja Polri Menggunakan SVM dengan Pendekatan POS Tagging

SINTECH (Science and Information Technology) Journal
Beragam opini masyarakat terkait kinerja POLRI terus bermunculan pada media sosial Twitter. Analisis sentimen dilakukan untuk mengetahui kecenderungan sentimen opini masyarakat dan aspek kinerja yang dibahas pada opini tersebut. Penelitian ini bertujuan
I Gede Ary Suta Sanjaya, I Made Candiasa, Luh Joni Erawati Dewi   +2 more
doaj   +1 more source

MORPOHOLOGICAL POS TAGGING IN ORAL LANGUAGE CORPUS: CHALLENGES FOR AELIUS

Texto Livre: Linguagem e Tecnologia, 2014
In this paper, we present the results of our work with automatic morphological annotation of excerpts from a corpus of spoken language – belonging to the VARSUL project – using the free morphosyntatic tagger Aelius. We present 20 texts containing 154,530
Gabriel de Ávila Othero, Mônica Rigo Ayres   +1 more
doaj  

POS tagging using relaxation techniques [PDF]

, 1996
Relaxation labelling is an optimization technique used in many fields to solve constraint satisfaction problems. The algorithm finds a combination of values for a set of variables such that satisfies - to the maximum possible degree - a set of given ...
Padró, Lluís
core  

Agettivu, Aggitivu o Aghjettivu? POS Tagging Corsican Dialects [PDF]

In this paper we present a series of experiments towards POS tagging Corsican, a less-resourced language spoken in Corsica and linguistically related to Italian.
Alice Millour, Alberto Ghia, Lorenza Brasile, Laurent Kevers   +3 more
core  

Pahari POS-tagged corpus: A large-scale linguistic resource for NLP applications. [PDF]

Data Brief
Gardazi NM, Malik MK, Daud A.
europepmc   +1 more source

UzbekPOS: A multi-domain dataset for Uzbek part-of-speech tagging. [PDF]

Data Brief
Sharipov M, Kuriyozov E, Vičič J.
europepmc   +1 more source

Part-of-Speech Tagging Bahasa Jawa Menggunakan Model Pre-Trained Bidirectional Encoder Representation from Transformers

JOINS (Journal of Information System)
Part-of-Speech Tagging (POS tagging) merupakan proses penentuan kelas kata dalam suatu teks yang penting dalam pemrosesan bahasa alami (Natural Language Processing).
Ahmad Izzuddin, Nuzul Hikmah, Muhammad Alvin Ajry   +2 more
doaj  

Annotated universal dependencies dataset for literary and educational Uzbek texts. [PDF]

Data Brief
Matlatipov S, Aripov M, Bobokandov M, Matlatipov G.   +3 more
europepmc   +1 more source

MonTree: Part of speech and syntactically annotated Mongolian sentence dataset. [PDF]

Data Brief
Nyamdavaa O, Munkhjargal Z, Dagvasumberel E, Chagnaa A.   +3 more
europepmc   +1 more source