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Parent(s):
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Update README
Browse files- .gitignore +2 -0
- README.md +263 -2
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# Byte-compiled / optimized / DLL files
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__pycache__/
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*.py[cod]
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temp.*
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# Byte-compiled / optimized / DLL files
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__pycache__/
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*.py[cod]
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README.md
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---
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-
license: mit
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pipeline_tag: translation
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-
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| 1 |
---
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| 2 |
pipeline_tag: translation
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| 3 |
+
license: mit
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| 4 |
+
language:
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+
- multilingual
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+
- af
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| 7 |
+
- am
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| 8 |
+
- ar
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| 9 |
+
- ast
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| 10 |
+
- az
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| 11 |
+
- ba
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| 12 |
+
- be
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| 13 |
+
- bg
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| 14 |
+
- bn
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+
- br
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+
- bs
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+
- ca
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| 18 |
+
- ceb
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+
- cs
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+
- cy
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+
- da
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+
- de
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+
- el
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+
- en
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+
- es
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+
- et
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+
- fa
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- ff
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- fi
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- fr
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- fy
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+
- ga
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+
- gd
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| 34 |
+
- gl
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| 35 |
+
- gu
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| 36 |
+
- ha
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| 37 |
+
- he
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| 38 |
+
- hi
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| 39 |
+
- hr
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| 40 |
+
- ht
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| 41 |
+
- hu
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| 42 |
+
- hy
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| 43 |
+
- id
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| 44 |
+
- ig
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| 45 |
+
- ilo
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| 46 |
+
- is
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| 47 |
+
- it
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| 48 |
+
- ja
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| 49 |
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- jv
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| 50 |
+
- ka
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| 51 |
+
- kk
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| 52 |
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- km
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| 53 |
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- kn
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| 54 |
+
- ko
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| 55 |
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- lb
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| 56 |
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- lg
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| 57 |
+
- ln
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| 58 |
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- lo
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| 59 |
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- lt
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- lv
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| 61 |
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- mg
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| 62 |
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- mk
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- ml
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- mn
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- mr
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- ms
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- my
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- ne
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- nl
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- no
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- ns
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- oc
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- or
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- pa
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- pl
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- ps
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- pt
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- ro
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- ru
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- sd
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- si
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- sk
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- sl
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- so
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- sq
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- sr
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- ss
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- su
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- sv
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- sw
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- ta
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- th
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- tl
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- tn
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- tr
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- uk
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- ur
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- uz
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- vi
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- wo
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- xh
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- yi
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- yo
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- zh
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- zu
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---
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# `flores101_mm100_175M`
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| 109 |
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| 110 |
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https://www.statmt.org/wmt21/large-scale-multilingual-translation-task.html
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| 111 |
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| 112 |
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`flores101_mm100_175M` is a multilingual encoder-decoder (seq-to-seq) model trained for Many-to-Many multilingual translation. It was first released in [this](https://github.com/facebookresearch/fairseq/tree/main/examples/flores101) repository.
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```python
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from transformers import M2M100ForConditionalGeneration, M2M100Tokenizer
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hi_text = "जीवन एक चॉकलेट बॉक्स की तरह है।"
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| 118 |
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chinese_text = "生活就像一盒巧克力。"
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| 119 |
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model = M2M100ForConditionalGeneration.from_pretrained("facebook/m2m100_418M")
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| 121 |
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tokenizer = M2M100Tokenizer.from_pretrained("facebook/m2m100_418M")
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| 122 |
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# translate Hindi to French
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tokenizer.src_lang = "hi"
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| 125 |
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encoded_hi = tokenizer(hi_text, return_tensors="pt")
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generated_tokens = model.generate(**encoded_hi, forced_bos_token_id=tokenizer.get_lang_id("fr"))
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| 127 |
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tokenizer.batch_decode(generated_tokens, skip_special_tokens=True)
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# => "La vie est comme une boîte de chocolat."
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| 129 |
+
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| 130 |
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# translate Chinese to English
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| 131 |
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tokenizer.src_lang = "zh"
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| 132 |
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encoded_zh = tokenizer(chinese_text, return_tensors="pt")
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| 133 |
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generated_tokens = model.generate(**encoded_zh, forced_bos_token_id=tokenizer.get_lang_id("en"))
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| 134 |
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tokenizer.batch_decode(generated_tokens, skip_special_tokens=True)
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| 135 |
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# => "Life is like a box of chocolate."
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```
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| 138 |
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## Languages covered
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| 139 |
+
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| 140 |
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| Language | lang code |
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| 141 |
+
| ---------------- | --------- |
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| 142 |
+
| Akrikaans | af |
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| 143 |
+
| Amharic | am |
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| 144 |
+
| Arabic | ar |
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| 145 |
+
| Assamese | as |
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| 146 |
+
| Asturian | ast |
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| 147 |
+
| Aymara | ay |
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| 148 |
+
| Azerbaijani | az |
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| 149 |
+
| Bashkir | ba |
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| 150 |
+
| Belarusian | be |
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| 151 |
+
| Bulgarian | bg |
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| 152 |
+
| Bengali | bn |
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| 153 |
+
| Breton | br |
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| 154 |
+
| Bosnian | bs |
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| 155 |
+
| Catalan | ca |
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| 156 |
+
| Cebuano | ceb |
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| 157 |
+
| Chokwe | cjk |
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| 158 |
+
| Czech | cs |
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| 159 |
+
| Welsh | cy |
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| 160 |
+
| Danish | da |
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| 161 |
+
| German | de |
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| 162 |
+
| Dyula | dyu |
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| 163 |
+
| Greek | el |
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| 164 |
+
| English | en |
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| 165 |
+
| Spanish | es |
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| 166 |
+
| Estonian | et |
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| 167 |
+
| Persian | fa |
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| 168 |
+
| Fulah | ff |
|
| 169 |
+
| Finnish | fi |
|
| 170 |
+
| French | fr |
|
| 171 |
+
| Western Frisian | fy |
|
| 172 |
+
| Irish | ga |
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| 173 |
+
| Scottish Gaelic | gd |
|
| 174 |
+
| Galician | gl |
|
| 175 |
+
| Gujarati | gu |
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| 176 |
+
| Hausa | ha |
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| 177 |
+
| Hebrew | he |
|
| 178 |
+
| Hindi | hi |
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| 179 |
+
| Croatian | hr |
|
| 180 |
+
| Haitian Creole | ht |
|
| 181 |
+
| Hungarian | hu |
|
| 182 |
+
| Armenian | hy |
|
| 183 |
+
| Indonesian | id |
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| 184 |
+
| Igbo | ig |
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| 185 |
+
| Iloko | ilo |
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| 186 |
+
| Icelandic | is |
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| 187 |
+
| Italian | it |
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| 188 |
+
| Japanese | ja |
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| 189 |
+
| Javanese | jv |
|
| 190 |
+
| Georgian | ka |
|
| 191 |
+
| Kachin | kac |
|
| 192 |
+
| Kamba | kam |
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| 193 |
+
| Kabuverdianu | kea |
|
| 194 |
+
| Kongo | kg |
|
| 195 |
+
| Kazakh | kk |
|
| 196 |
+
| Central Khmer | km |
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| 197 |
+
| Kimbundu | kmb |
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| 198 |
+
| Northern Kurdish | kmr |
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| 199 |
+
| Kannada | kn |
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| 200 |
+
| Korean | ko |
|
| 201 |
+
| Kurdish | ku |
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| 202 |
+
| Kyrgyz | ky |
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| 203 |
+
| Luxembourgish | lb |
|
| 204 |
+
| Ganda | lg |
|
| 205 |
+
| Lingala | ln |
|
| 206 |
+
| Lao | lo |
|
| 207 |
+
| Lithuanian | lt |
|
| 208 |
+
| Luo | luo |
|
| 209 |
+
| Latvian | lv |
|
| 210 |
+
| Malagasy | mg |
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| 211 |
+
| Maori | mi |
|
| 212 |
+
| Macedonian | mk |
|
| 213 |
+
| Malayalam | ml |
|
| 214 |
+
| Mongolian | mn |
|
| 215 |
+
| Marathi | mr |
|
| 216 |
+
| Malay | ms |
|
| 217 |
+
| Maltese | mt |
|
| 218 |
+
| Burmese | my |
|
| 219 |
+
| Nepali | ne |
|
| 220 |
+
| Dutch | nl |
|
| 221 |
+
| Norwegian | no |
|
| 222 |
+
| Northern Sotho | ns |
|
| 223 |
+
| Nyanja | ny |
|
| 224 |
+
| Occitan | oc |
|
| 225 |
+
| Oromo | om |
|
| 226 |
+
| Oriya | or |
|
| 227 |
+
| Punjabi | pa |
|
| 228 |
+
| Polish | pl |
|
| 229 |
+
| Pashto | ps |
|
| 230 |
+
| Portuguese | pt |
|
| 231 |
+
| Quechua | qu |
|
| 232 |
+
| Romanian | ro |
|
| 233 |
+
| Russian | ru |
|
| 234 |
+
| Sindhi | sd |
|
| 235 |
+
| Shan | shn |
|
| 236 |
+
| Sinhala | si |
|
| 237 |
+
| Slovak | sk |
|
| 238 |
+
| Slovenian | sl |
|
| 239 |
+
| Shona | sn |
|
| 240 |
+
| Somali | so |
|
| 241 |
+
| Albanian | sq |
|
| 242 |
+
| Serbian | sr |
|
| 243 |
+
| Swati | ss |
|
| 244 |
+
| Sundanese | su |
|
| 245 |
+
| Swedish | sv |
|
| 246 |
+
| Swahili | sw |
|
| 247 |
+
| Tamil | ta |
|
| 248 |
+
| Telugu | te |
|
| 249 |
+
| Tajik | tg |
|
| 250 |
+
| Thai | th |
|
| 251 |
+
| Tigrinya | ti |
|
| 252 |
+
| Tagalog | tl |
|
| 253 |
+
| Tswana | tn |
|
| 254 |
+
| Turkish | tr |
|
| 255 |
+
| Ukrainian | uk |
|
| 256 |
+
| Umbundu | umb |
|
| 257 |
+
| Urdu | ur |
|
| 258 |
+
| Uzbek | uz |
|
| 259 |
+
| Vietnamese | vi |
|
| 260 |
+
| Wolof | wo |
|
| 261 |
+
| Xhosa | xh |
|
| 262 |
+
| Yiddish | yi |
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| 263 |
+
| Yoruba | yo |
|
| 264 |
+
| Chinese | zh |
|
| 265 |
+
| Zulu | zu |
|