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Design and Development of Part of Speech Tagger for Ge'ez Language Using Hybrid Approach

Gebremeskel Hagos Gerbremedhin
2019 The International Journal of Science & Technoledge  
Therefore, this work proposes a hybrid approach, Trigram N tag tagger combined with human written rule, Regular expression and morphological pattern analysis-based tagger, for Ge'ez part of speech tagger  ...  Examples: English, Ge'ez, Amharic, Afaan-Oromo and Tigrigna.  ...  For this thesis, a hybrid approach, which is a combination of TnT, human annotated rule, and morphological pattern analyzer tagger is designed for Ge'ez language.  ... 
doi:10.24940/theijst/2019/v7/i12/st1912-009 fatcat:gfnt4t5d5jgnheuqyppsmw3uue

Zero-shot Neural Transfer for Cross-lingual Entity Linking [article]

Shruti Rijhwani and Jiateng Xie and Graham Neubig and Jaime Carbonell
2018 arXiv   pre-print
While previous work relies heavily on bilingual lexical resources to bridge the gap between the source and the target languages, these resources are scarce or unavailable for many low-resource languages  ...  the baseline systems, for the zero-shot scenario.  ...  The authors would also like to thank Abhilasha Ravichander, Aditi Chaudhary, Xinyi Wang, Danish, Deepak Gopinath, Gayatri Bhat, Maria Ryskina, Paul Michel, Shivani Poddar, and Siddharth Dalmia for their  ... 
arXiv:1811.04154v1 fatcat:zg6x27oo5zgbpokd6upjbskabm

Zero-Shot Neural Transfer for Cross-Lingual Entity Linking

Shruti Rijhwani, Jiateng Xie, Graham Neubig, Jaime Carbonell
2019 PROCEEDINGS OF THE THIRTIETH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE AND THE TWENTY-EIGHTH INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE  
While previous work relies heavily on bilingual lexical resources to bridge the gap between the source and the target languages, these resources are scarce or unavailable for many low-resource languages  ...  With experiments on 9 low-resource languages and transfer through a total of54 languages, we show that our proposed pivot-based framework improves entity linking accuracy 17% (absolute) on average over  ...  The authors would also like to thank Abhilasha Ravichander, Aditi Chaudhary, Xinyi Wang, Danish, Deepak Gopinath, Gayatri Bhat, Maria Ryskina, Paul Michel, Shivani Poddar, and Siddharth Dalmia for their  ... 
doi:10.1609/aaai.v33i01.33016924 fatcat:b6eexla7tbe6hh4zo35i35acry

Analysis of implemented part of speech tagger approaches: The case of Ethiopian languages

Wubetu Barud Demilie, Department of Information Technology, Wachemo University, Hossana, Ethiopia, P.O. Box 667
2020 Indian Journal of Science and Technology  
For example, it is possible to see the English version of the Hidden Markov Model-based POS tagger using Stanford tagger/parser (5) (6) . Example: "We can can the can."  ...  and to identify the best and the recommended algorithm for the Ethiopian languages.  ...  Acknowledgment The author wants to acknowledge all researchers of the area who have been contributed a lot regardless of POS tagging research work for Ethiopian languages.  ... 
doi:10.17485/ijst/v13i48.1876 fatcat:hpsvixt5tnamplkuk2niyfn2lu

A Hidden Markov Model-based Part of Speech Tagger for Shekki'noono Language

Alebachew Chiche, Hiwot Kadi, Tibebu Bekele
2021 International Scientific Journal of Computing  
Some of the researchers developed parts of speech taggers for different languages such as English Amharic, Afan Oromo, Tigrigna, etc.  ...  For the study, we have used 1500 sentences collected from different sources such as newspapers (which includes social, economic, and political aspects), modules, textbooks, Radio Programs, and bulletins  ...  Yemane, et.al. [16] designed a Tigrinya part-of-speech tagging with morphological patterns and the new Nagaoka Tigrinya corpus.  ... 
doi:10.47839/ijc.20.4.2448 fatcat:xy75vatw2zdgznf32jpj2tmmi4

Morphological Processing of Semitic Languages [chapter]

Shuly Wintner
2014 Natural Language Processing of Semitic Languages  
The bulk of the chapter, then, discusses available solutions for morphological processing, including analysis, generation, and disambiguation, in a variety of Semitic languages.  ...  Semitic languages are characterized by complex, productive morphology, with a basic word-formation mechanism, root-and-pattern, that is unique to languages of this family.  ...  Acknowledgements I am tremendously grateful to Nizar Habash for his help and advice; it would have been hard to complete this chapter without them.  ... 
doi:10.1007/978-3-642-45358-8_2 dblp:series/tanlp/Wintner14 fatcat:2haciwvubrbvlawaw6y26pkjlq

Towards Afrocentric NLP for African Languages: Where We Are and Where We Can Go [article]

Ife Adebara, Muhammad Abdul-Mageed
2022 arXiv   pre-print
Our main objective is to motivate and advocate for an Afrocentric approach to technology development.  ...  for African languages.  ...  We thank Rose-Marie Déchaine for helpful discussions.  ... 
arXiv:2203.08351v2 fatcat:qpk64purofb2ngo6rgzerfwbja

Methods for Amharic part-of-speech tagging

Björn Gambäck, Fredrik Olsson, Atelach Alemu Argaw, Lars Asker
2009 Proceedings of the First Workshop on Language Technologies for African Languages - AfLaT '09   unpublished
The best results were obtained using a Maximum Entropy approach, while HMM-based and SVMbased taggers got comparable results.  ...  The taggers showed worse performance than previously reported results for English, in particular having problems with unknown words.  ...  Girma Demeke, Mesfin Getachew, and the ELRC staff for their efforts on tagging the corpus, and to Thorsten Brants for providing us with the TnT tagger.  ... 
doi:10.3115/1564508.1564527 fatcat:droq27l2qjet3inycwfhj3bkgu