Update README.md

README.md

@@ -11,9 +11,21 @@ tags:
 Translation alignment is the process of mapping translation equivalents between two texts in different languages. It can be performed on different granularity levels, form document, paragraph,
 sentence, and word/phrase levels.
 
-This model has been developed in the context of a project called "Linking Ancient Languages to Portuguese and Improving an Automatic Translation Alignment Model". The project aims to generate
-accurate manual alignments of ancient Greek and Brazilian Portuguese parallel texts and create translation pairs that can be used later for supervised training of automatic alignment models for
-the two languages which will be employed later to create automatic alignments.
+This model has been developed in the context of a project called **Linking Ancient Languages to Portuguese and Improving an Automatic Translation Alignment Model**
+(**Letras clássicas digitais: interligando línguas antigas ao português e aprimorando um modelo automático de alinhamento de tradução**). 
+
+**Funding agency**: FAPESP proc.#  2022/09490-0 <br>
+**Host Institution**: Faculty of Sciences and Letters, UNESP/Araraquara <br>
+Grant within the eScience Technological Innovation Programs - Research Program in eScience and Data Science /  Research Project - Regular<br>
+
+The main objective of the project was to develop an automatic translation aligner specifically for Ancient Greek 
+and Brazilian Portuguese.  This implied the following tasks: a) to generate manual alignments based on the gold 
+standard guidelines, Ancient Greek texts with parallel Brazilian Portuguese translations, creating pairs of 
+alignments aimed at b) the supervised training of automatic alignment models for the two languages, so that 
+they can be used to create automatic alignments. The motivation for having an automatic aligner for 
+Greek-Portuguese translations includes the possibility of generating a larger quantity of aligned texts for 
+reading Ancient Greek by Portuguese speakers, expanding the dynamic lexicon relating to the two languages, 
+as well as composing a digital corpus that can be used in other services.
 
 # Usage
 This [colab notebook](https://colab.research.google.com/drive/1rKd0cNzfi1xSPRPIDnTtjGPFgiK8mZ3L?usp=sharing)  contains the necessary code to use the model.