Update README.md

README.md

@@ -26,5 +26,42 @@ Please cite the following sources, from which the Romanian portion of the Multil
   booktitle="Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)",
   year="2024",
 }
+
+
+@inproceedings{midrigan-ciochina-etal-2020-resources,
+    title = "Resources in Underrepresented Languages: Building a Representative {R}omanian Corpus",
+    author = "Midrigan - Ciochina, Ludmila  and
+      Boyd, Victoria  and
+      Sanchez-Ortega, Lucila  and
+      Malancea{\_}Malac, Diana  and
+      Midrigan, Doina  and
+      Corina, David P.",
+    editor = "Calzolari, Nicoletta  and
+      B{\'e}chet, Fr{\'e}d{\'e}ric  and
+      Blache, Philippe  and
+      Choukri, Khalid  and
+      Cieri, Christopher  and
+      Declerck, Thierry  and
+      Goggi, Sara  and
+      Isahara, Hitoshi  and
+      Maegaard, Bente  and
+      Mariani, Joseph  and
+      Mazo, H{\'e}l{\`e}ne  and
+      Moreno, Asuncion  and
+      Odijk, Jan  and
+      Piperidis, Stelios",
+    booktitle = "Proceedings of the Twelfth Language Resources and Evaluation Conference",
+    month = may,
+    year = "2020",
+    address = "Marseille, France",
+    publisher = "European Language Resources Association",
+    url = "https://aclanthology.org/2020.lrec-1.402/",
+    pages = "3291--3296",
+    language = "eng",
+    ISBN = "979-10-95546-34-4",
+    abstract = "The effort in the field of Linguistics to develop theories that aim to explain language-dependent effects on language processing is greatly facilitated by the availability of reliable resources representing different languages. This project presents a detailed description of the process of creating a large and representative corpus in Romanian {--} a relatively under-resourced language with unique structural and typological characteristics, that can be used as a reliable language resource for linguistic studies. The decisions that have guided the construction of the corpus, including the type of corpus, its size and component resource files are discussed. Issues related to data collection, data organization and storage, as well as characteristics of the data included in the corpus are described. Currently, the corpus has approximately 5,500,000 tokens originating from written text and 100,000 tokens of spoken language. it includes language samples that represent a wide variety of registers (i.e. written language - 16 registers and 5 registers of spoken language), as well as different authors and speakers"
+}
 ```
+
+
 For Implementation see: https://github.com/chia-AR/LEMI-Romanian-children-literature-corpus