Add multilingual to the language tag

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

README.md

@@ -5,135 +5,78 @@ language:
 - is
 - nb
 - sv
-
+- multilingual
+license: cc-by-4.0
 tags:
 - translation
 - opus-mt-tc
-
-license: cc-by-4.0
 model-index:
 - name: opus-mt-tc-big-de-gmq
   results:
   - task:
-      name: Translation deu-dan
       type: translation
-      args: deu-dan
+      name: Translation deu-dan
     dataset:
       name: flores101-devtest
       type: flores_101
       args: deu dan devtest
     metrics:
-       - name: BLEU
-         type: bleu
-         value: 35.6
-       - name: chr-F
-         type: chrf
-         value: 0.62363
-  - task:
-      name: Translation deu-isl
-      type: translation
-      args: deu-isl
-    dataset:
-      name: flores101-devtest
-      type: flores_101
-      args: deu isl devtest
-    metrics:
-       - name: BLEU
-         type: bleu
-         value: 20.6
-       - name: chr-F
-         type: chrf
-         value: 0.48691
+    - type: bleu
+      value: 35.6
+      name: BLEU
+    - type: chrf
+      value: 0.62363
+      name: chr-F
+    - type: bleu
+      value: 20.6
+      name: BLEU
+    - type: chrf
+      value: 0.48691
+      name: chr-F
+    - type: bleu
+      value: 25.3
+      name: BLEU
+    - type: chrf
+      value: 0.55765
+      name: chr-F
+    - type: bleu
+      value: 34.7
+      name: BLEU
+    - type: chrf
+      value: 0.62323
+      name: chr-F
   - task:
-      name: Translation deu-nob
       type: translation
-      args: deu-nob
-    dataset:
-      name: flores101-devtest
-      type: flores_101
-      args: deu nob devtest
-    metrics:
-       - name: BLEU
-         type: bleu
-         value: 25.3
-       - name: chr-F
-         type: chrf
-         value: 0.55765
-  - task:
-      name: Translation deu-swe
-      type: translation
-      args: deu-swe
-    dataset:
-      name: flores101-devtest
-      type: flores_101
-      args: deu swe devtest
-    metrics:
-       - name: BLEU
-         type: bleu
-         value: 34.7
-       - name: chr-F
-         type: chrf
-         value: 0.62323
-  - task:
       name: Translation deu-dan
-      type: translation
-      args: deu-dan
     dataset:
       name: tatoeba-test-v2021-08-07
       type: tatoeba_mt
       args: deu-dan
     metrics:
-       - name: BLEU
-         type: bleu
-         value: 58.7
-       - name: chr-F
-         type: chrf
-         value: 0.74306
-  - task:
-      name: Translation deu-isl
-      type: translation
-      args: deu-isl
-    dataset:
-      name: tatoeba-test-v2021-08-07
-      type: tatoeba_mt
-      args: deu-isl
-    metrics:
-       - name: BLEU
-         type: bleu
-         value: 47.1
-       - name: chr-F
-         type: chrf
-         value: 0.65180
-  - task:
-      name: Translation deu-nob
-      type: translation
-      args: deu-nob
-    dataset:
-      name: tatoeba-test-v2021-08-07
-      type: tatoeba_mt
-      args: deu-nob
-    metrics:
-       - name: BLEU
-         type: bleu
-         value: 52.5
-       - name: chr-F
-         type: chrf
-         value: 0.71062
-  - task:
-      name: Translation deu-swe
-      type: translation
-      args: deu-swe
-    dataset:
-      name: tatoeba-test-v2021-08-07
-      type: tatoeba_mt
-      args: deu-swe
-    metrics:
-       - name: BLEU
-         type: bleu
-         value: 58.3
-       - name: chr-F
-         type: chrf
-         value: 0.72658
+    - type: bleu
+      value: 58.7
+      name: BLEU
+    - type: chrf
+      value: 0.74306
+      name: chr-F
+    - type: bleu
+      value: 47.1
+      name: BLEU
+    - type: chrf
+      value: 0.6518
+      name: chr-F
+    - type: bleu
+      value: 52.5
+      name: BLEU
+    - type: chrf
+      value: 0.71062
+      name: chr-F
+    - type: bleu
+      value: 58.3
+      name: BLEU
+    - type: chrf
+      value: 0.72658
+      name: chr-F
 ---
 # opus-mt-tc-big-de-gmq
 
@@ -189,7 +132,7 @@ A short example code:
 from transformers import MarianMTModel, MarianTokenizer
 
 src_text = [
-    ">>dan<< Ich hätte fast meinen Pass vergessen.",
+    ">>dan<< Ich h�tte fast meinen Pass vergessen.",
     ">>dan<< Dieses Fenster hier ist schusssicher."
 ]
 
@@ -202,7 +145,7 @@ for t in translated:
     print( tokenizer.decode(t, skip_special_tokens=True) )
 
 # expected output:
-#     Jeg havde næsten glemt mit pas.
+#     Jeg havde n�sten glemt mit pas.
 #     Dette vindue er skudsikkert.
 ```
 
@@ -211,9 +154,9 @@ 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-gmq")
-print(pipe(">>dan<< Ich hätte fast meinen Pass vergessen."))
+print(pipe(">>dan<< Ich h�tte fast meinen Pass vergessen."))
 
-# expected output: Jeg havde næsten glemt mit pas.
+# expected output: Jeg havde n�sten glemt mit pas.
 ```
 
 ## Training
@@ -244,7 +187,7 @@ print(pipe(">>dan<< Ich hätte fast meinen Pass vergessen."))
 
 ## 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,
@@ -274,7 +217,7 @@ print(pipe(">>dan<< Ich hätte fast meinen Pass vergessen."))
 
 ## 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