Update README.md

README.md

@@ -1,15 +1,21 @@
 ---
 license: mit
----
+language:
+- gl
+metrics:
+- bleu (Gold1): 36.8
+- bleu (Gold2): 47.1
+- bleu (Flores): 32.3 
+- bleu (Test-suite): 42.7 
 ---
 license: mit
 ---
 
-**Descrición do Modelo** 
+**Descrición do Modelo / Model Description** 
 
-Modelo feito con OpenNMT para o par español-galego utilizando unha arquitectura transformer. 
+Modelo feito con OpenNMT para o par inglés-galego utilizando unha arquitectura transformer. 
 
-**Como utilizar**
+**Como traducir / How to translate**
 
 + Abrir terminal bash
 + Instalar [Python 3.9](https://www.python.org/downloads/release/python-390/)
@@ -17,17 +23,17 @@ Modelo feito con OpenNMT para o par español-galego utilizando unha arquitectura
 + Traducir un input_text utilizando o modelo NOS-MT-en-gl co seguinte comando:
 
 ```bash 
-onmt_translate -src input_text -model NOS-MT-es-gl -output ./output_file.txt -replace_unk -phrase_table phrase_table-es-gl.txt -gpu 0
+onmt_translate -src input_text -model NOS-MT-en-gl -output ./output_file.txt -replace_unk -phrase_table phrase_table-en-gl.txt -gpu 0
 ```
 + O resultado da tradución estará no PATH indicado no flag -output.
 
-**Adestramento**
+**Adestramento / Training**
 
 Datos utilizados para o adestramento
 
 Auténticos e Sintéticos (Transliteração)[Colocar Paper] 
 
-**Procedemento de adestramento**
+**Procedemento de adestramento / Training process**
 
 + Tokenization dos datasets feita co tokenizador de linguakit https://github.com/citiususc/Linguakit
 
@@ -40,11 +46,11 @@ onmt_build_vocab -config  bpe-en-gl_emb.yaml -n_sample 100000
 onmt_train -config bpe-en-gl_emb.yaml
 ```
 
-**Hiperparámetros** 
+**Hiperparámetros / Hyper-parameters** 
 
 Os parámetros usados para o desenvolvimento do modelo poden ser consultados directamente no mesmo ficheiro .yaml  bpe-en-gl_emb.yaml 
 
-**Avaliación** 
+**Avaliación / Evaluation** 
 A avalación dos modelos é feita cunha mistura de tests desenvolvidos internamente
 (gold1, gold2, test-suite) con outros datasets disponíbeis en galego (Flores).
 
@@ -54,11 +60,29 @@ A avalación dos modelos é feita cunha mistura de tests desenvolvidos intername
 
 
 
-**Información adicional** 
+**Licenzas do Modelo / Licensing information** 
+
+MIT License
+
+Copyright (c) 2023 Proxecto Nós
 
-Licensing information 
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
 
-Apache License, Version 2.0 
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.
 
 **Financiamento / Funding** 
 
@@ -66,12 +90,4 @@ Esta investigación foi financiada polo proxecto "Nós: o galego na sociedade e
 
 This research was funded by the project "Nós: Galician in the society and economy of artificial intelligence", agreement between Xunta de Galicia and University of Santiago de Compostela, and grant ED431G2019/04 by the Galician Ministry of Education, University and Professional Training, and the European Regional Development Fund (ERDF/FEDER program), and Groups of Reference: ED431C 2020/21.
  
-
-**Citation Information**
-
-@article{, 
-  title={}, 
-  author={}, 
-  year={2022}, 
-  url={} 
-} 
+**Citation Information**