Update README.md

README.md

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 # Detecting Loanwords in Emakhuwa
 Paper: Detecting Loanwords in Emakhuwa: An Extremely Low-Resource {B}antu Language Exhibiting Significant Borrowing from {P}ortuguese
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 @inproceedings{ali-etal-2024-detecting,
     title = "Detecting Loanwords in Emakhuwa: An Extremely Low-Resource {B}antu Language Exhibiting Significant Borrowing from {P}ortuguese",
     author = "Ali, Felermino Dario Mario  and
@@ -31,7 +31,7 @@ Paper: Detecting Loanwords in Emakhuwa: An Extremely Low-Resource {B}antu Langua
     pages = "4750--4759",
     abstract = "The accurate identification of loanwords within a given text holds significant potential as a valuable tool for addressing data augmentation and mitigating data sparsity issues. Such identification can improve the performance of various natural language processing tasks, particularly in the context of low-resource languages that lack standardized spelling conventions.This research proposes a supervised method to identify loanwords in Emakhuwa, borrowed from Portuguese. Our methodology encompasses a two-fold approach. Firstly, we employ traditional machine learning algorithms incorporating handcrafted features, including language-specific and similarity-based features. We build upon prior studies to extract similarity features and propose utilizing two external resources: a Sequence-to-Sequence model and a dictionary. This innovative approach allows us to identify loanwords solely by analyzing the target word without prior knowledge about its donor counterpart. Furthermore, we fine-tune the pre-trained CANINE model for the downstream task of loanword detection, which culminates in the impressive achievement of the F1-score of 93{\%}. To the best of our knowledge, this study is the first of its kind focusing on Emakhuwa, and the preliminary results are promising as they pave the way to further advancements.",
 }
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 # Licence
 This project is released under the MIT license.
@@ -41,4 +41,5 @@ The base code is based on a [previous](https://github.com/csu-signal/loan-word-d
 
 # Contact
 [Felermino Ali](https://felerminoali.github.io/)
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 [github](https://github.com/felerminoali/emakhuwa-nlp/tree/master/datasets/loanwords)