arXiv:1807.03108
Discriminating between Indo-Aryan Languages Using SVM Ensembles
원문 초록
In this paper we present a system based on SVM ensembles trained on characters and words to discriminate between five similar languages of the Indo-Aryan family: Hindi, Braj Bhasha, Awadhi, Bhojpuri, and Magahi. We investigate the performance of individual features and combine the output of single classifiers to maximize performance. The system competed in the Indo-Aryan Language Identification (ILI) shared task organized within the VarDial Evaluation Campaign 2018. Our best entry in the competition, named ILIdentification, scored 88:95% F1 score and it was ranked 3rd out of 8 teams.
함께 살펴볼 논문
공통 태그를 근거로 연결했습니다. 실제 인용 관계나 논문의 우수성을 뜻하지 않습니다.
CosyVoice 3: Towards In-the-wild Speech Generation via Scaling-up and Post-training
Advancing Uto-Aztecan Language Technologies: A Case Study on the Endangered Comanche Language
KréyoLID From Language Identification Towards Language Mining
English Please: Evaluating Machine Translation with Large Language Models for Multilingual Bug Reports
Multi-label Scandinavian Language Identification (SLIDE)
Is It Navajo? Accurate Language Detection in Endangered Athabaskan Languages
토론
이 논문과 연결된 포럼 글이 아직 없습니다.