Add multilingual to the language tag

Hi! A PR to add multilingual to the language tag to improve the referencing.

README.md

@@ -2,135 +2,126 @@
 language:
 - de
 - es
-
+- multilingual
+license: cc-by-4.0
 tags:
 - translation
 - opus-mt-tc
-
-license: cc-by-4.0
 model-index:
 - name: opus-mt-tc-big-de-es
   results:
   - task:
-      name: Translation deu-spa
       type: translation
-      args: deu-spa
+      name: Translation deu-spa
     dataset:
       name: flores101-devtest
       type: flores_101
       args: deu spa devtest
     metrics:
-       - name: BLEU
-         type: bleu
-         value: 24.9
-       - name: chr-F
-         type: chrf
-         value: 0.53208
+    - type: bleu
+      value: 24.9
+      name: BLEU
+    - type: chrf
+      value: 0.53208
+      name: chr-F
   - task:
-      name: Translation deu-spa
       type: translation
-      args: deu-spa
+      name: Translation deu-spa
     dataset:
       name: news-test2008
       type: news-test2008
       args: deu-spa
     metrics:
-       - name: BLEU
-         type: bleu
-         value: 26.6
-       - name: chr-F
-         type: chrf
-         value: 0.54400
+    - type: bleu
+      value: 26.6
+      name: BLEU
+    - type: chrf
+      value: 0.544
+      name: chr-F
   - task:
-      name: Translation deu-spa
       type: translation
-      args: deu-spa
+      name: Translation deu-spa
     dataset:
       name: tatoeba-test-v2021-08-07
       type: tatoeba_mt
       args: deu-spa
     metrics:
-       - name: BLEU
-         type: bleu
-         value: 50.8
-       - name: chr-F
-         type: chrf
-         value: 0.69105
+    - type: bleu
+      value: 50.8
+      name: BLEU
+    - type: chrf
+      value: 0.69105
+      name: chr-F
   - task:
-      name: Translation deu-spa
       type: translation
-      args: deu-spa
+      name: Translation deu-spa
     dataset:
       name: newstest2009
       type: wmt-2009-news
       args: deu-spa
     metrics:
-       - name: BLEU
-         type: bleu
-         value: 25.9
-       - name: chr-F
-         type: chrf
-         value: 0.53934
+    - type: bleu
+      value: 25.9
+      name: BLEU
+    - type: chrf
+      value: 0.53934
+      name: chr-F
   - task:
-      name: Translation deu-spa
       type: translation
-      args: deu-spa
+      name: Translation deu-spa
     dataset:
       name: newstest2010
       type: wmt-2010-news
       args: deu-spa
     metrics:
-       - name: BLEU
-         type: bleu
-         value: 33.8
-       - name: chr-F
-         type: chrf
-         value: 0.60102
+    - type: bleu
+      value: 33.8
+      name: BLEU
+    - type: chrf
+      value: 0.60102
+      name: chr-F
   - task:
-      name: Translation deu-spa
       type: translation
-      args: deu-spa
+      name: Translation deu-spa
     dataset:
       name: newstest2011
       type: wmt-2011-news
       args: deu-spa
     metrics:
-       - name: BLEU
-         type: bleu
-         value: 31.3
-       - name: chr-F
-         type: chrf
-         value: 0.57133
+    - type: bleu
+      value: 31.3
+      name: BLEU
+    - type: chrf
+      value: 0.57133
+      name: chr-F
   - task:
-      name: Translation deu-spa
       type: translation
-      args: deu-spa
+      name: Translation deu-spa
     dataset:
       name: newstest2012
       type: wmt-2012-news
       args: deu-spa
     metrics:
-       - name: BLEU
-         type: bleu
-         value: 32.6
-       - name: chr-F
-         type: chrf
-         value: 0.58119
+    - type: bleu
+      value: 32.6
+      name: BLEU
+    - type: chrf
+      value: 0.58119
+      name: chr-F
   - task:
-      name: Translation deu-spa
       type: translation
-      args: deu-spa
+      name: Translation deu-spa
     dataset:
       name: newstest2013
       type: wmt-2013-news
       args: deu-spa
     metrics:
-       - name: BLEU
-         type: bleu
-         value: 32.4
-       - name: chr-F
-         type: chrf
-         value: 0.57559
+    - type: bleu
+      value: 32.4
+      name: BLEU
+    - type: chrf
+      value: 0.57559
+      name: chr-F
 ---
 # opus-mt-tc-big-de-es
 
@@ -184,8 +175,8 @@ A short example code:
 from transformers import MarianMTModel, MarianTokenizer
 
 src_text = [
-    "Ich verstehe nicht, worüber ihr redet.",
-    "Die Vögel singen in den Bäumen."
+    "Ich verstehe nicht, wor�ber ihr redet.",
+    "Die V�gel singen in den B�umen."
 ]
 
 model_name = "pytorch-models/opus-mt-tc-big-de-es"
@@ -197,8 +188,8 @@ for t in translated:
     print( tokenizer.decode(t, skip_special_tokens=True) )
 
 # expected output:
-#     No entiendo de qué están hablando.
-#     Los pájaros cantan en los árboles.
+#     No entiendo de qu� est�n hablando.
+#     Los p�jaros cantan en los �rboles.
 ```
 
 You can also use OPUS-MT models with the transformers pipelines, for example:
@@ -206,9 +197,9 @@ You can also use OPUS-MT models with the transformers pipelines, for example:
 ```python
 from transformers import pipeline
 pipe = pipeline("translation", model="Helsinki-NLP/opus-mt-tc-big-de-es")
-print(pipe("Ich verstehe nicht, worüber ihr redet."))
+print(pipe("Ich verstehe nicht, wor�ber ihr redet."))
 
-# expected output: No entiendo de qué están hablando.
+# expected output: No entiendo de qu� est�n hablando.
 ```
 
 ## Training
@@ -240,7 +231,7 @@ print(pipe("Ich verstehe nicht, worüber ihr redet."))
 
 ## Citation Information
 
-* Publications: [OPUS-MT – Building open translation services for the World](https://aclanthology.org/2020.eamt-1.61/) and [The Tatoeba Translation Challenge – Realistic Data Sets for Low Resource and Multilingual MT](https://aclanthology.org/2020.wmt-1.139/) (Please, cite if you use this model.)
+* Publications: [OPUS-MT � Building open translation services for the World](https://aclanthology.org/2020.eamt-1.61/) and [The Tatoeba Translation Challenge � Realistic Data Sets for Low Resource and Multilingual MT](https://aclanthology.org/2020.wmt-1.139/) (Please, cite if you use this model.)
 
 ```
 @inproceedings{tiedemann-thottingal-2020-opus,
@@ -270,7 +261,7 @@ print(pipe("Ich verstehe nicht, worüber ihr redet."))
 
 ## Acknowledgements
 
-The work is supported by the [European Language Grid](https://www.european-language-grid.eu/) as [pilot project 2866](https://live.european-language-grid.eu/catalogue/#/resource/projects/2866), by the [FoTran project](https://www.helsinki.fi/en/researchgroups/natural-language-understanding-with-cross-lingual-grounding), funded by the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement No 771113), and the [MeMAD project](https://memad.eu/), funded by the European Union’s Horizon 2020 Research and Innovation Programme under grant agreement No 780069. We are also grateful for the generous computational resources and IT infrastructure provided by [CSC -- IT Center for Science](https://www.csc.fi/), Finland.
+The work is supported by the [European Language Grid](https://www.european-language-grid.eu/) as [pilot project 2866](https://live.european-language-grid.eu/catalogue/#/resource/projects/2866), by the [FoTran project](https://www.helsinki.fi/en/researchgroups/natural-language-understanding-with-cross-lingual-grounding), funded by the European Research Council (ERC) under the European Union�s Horizon 2020 research and innovation programme (grant agreement No 771113), and the [MeMAD project](https://memad.eu/), funded by the European Union�s Horizon 2020 Research and Innovation Programme under grant agreement No 780069. We are also grateful for the generous computational resources and IT infrastructure provided by [CSC -- IT Center for Science](https://www.csc.fi/), Finland.
 
 ## Model conversion info