added all the models

README.md

@@ -0,0 +1 @@
+# translation_models

compress.py

@@ -0,0 +1,12 @@
+import gzip
+
+def compress_file(input_path, output_path):
+    with open(input_path, 'rb') as file_in:
+        with gzip.open(output_path, 'wb') as file_out:
+            file_out.writelines(file_in)
+
+# Example usage
+input_file_path = 'D:\\offline-translator\\translation_models\\en_ja\\model\\model.bin'
+compressed_file_path = 'D:\\offline-translator\\translation_models\\en_ja\\model\\compressed_model.bin.gz'
+
+compress_file(input_file_path, compressed_file_path)

en_ja/README.md

@@ -0,0 +1,38 @@
+# English-Japanese
+
+Data compiled by [Opus](https://opus.nlpl.eu/).
+
+Dictionary data from Wiktionary using [Wiktextract](https://github.com/tatuylonen/wiktextract).
+
+Includes pretrained models from [Stanza](https://github.com/stanfordnlp/stanza/).
+
+Credits:
+@inproceedings{elkishky_ccaligned_2020,
+ author = {El-Kishky, Ahmed and Chaudhary, Vishrav and Guzmán, Francisco and Koehn, Philipp},
+ booktitle = {Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP 2020)},
+ month = {November},
+ title = {{CCAligned}: A Massive Collection of Cross-lingual Web-Document Pairs},
+ year = {2020}
+ address = "Online",
+ publisher = "Association for Computational Linguistics",
+ url = "https://www.aclweb.org/anthology/2020.emnlp-main.480",
+ doi = "10.18653/v1/2020.emnlp-main.480",
+ pages = "5960--5969"
+ }
+
+Holger Schwenk, Vishrav Chaudhary, Shuo Sun, Hongyu Gong and Paco Guzman, WikiMatrix: Mining 135M Parallel Sentences in 1620 Language Pairs from Wikipedia, arXiv, July 11 2019.
+
+@inproceedings{elkishky_ccaligned_2020,
+ author = {El-Kishky, Ahmed and Chaudhary, Vishrav and Guzmán, Francisco and Koehn, Philipp},
+ booktitle = {Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP 2020)},
+ month = {November},
+ title = {{CCAligned}: A Massive Collection of Cross-lingual Web-Document Pairs},
+ year = {2020}
+ address = "Online",
+ publisher = "Association for Computational Linguistics",
+ url = "https://www.aclweb.org/anthology/2020.emnlp-main.480",
+ doi = "10.18653/v1/2020.emnlp-main.480",
+ pages = "5960--5969"
+ }
+
+P. Lison and J. Tiedemann, 2016, OpenSubtitles2016: Extracting Large Parallel Corpora from Movie and TV Subtitles. In Proceedings of the 10th International Conference on Language Resources and Evaluation (LREC 2016)

en_ja/metadata.json

@@ -0,0 +1,8 @@
+{
+    "package_version": "1.1",
+    "argos_version": "1.1",
+    "from_code": "en",
+    "from_name": "English",
+    "to_code": "ja",
+    "to_name": "Japanese"
+}

en_ja/model/model.bin

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+version https://git-lfs.github.com/spec/v1
+oid sha256:52a021f9d552beee5c15ec8f05e2bf72c90402ef428d58f7d625643ba2dc1780
+size 132573333

en_ja/sentencepiece.model

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+version https://git-lfs.github.com/spec/v1
+oid sha256:33de6356768ef5eaca1a41883b1990273093ffbe70720083502cb1a975b59b3d
+size 787500

en_ja/stanza/en/tokenize/ewt.pt

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+version https://git-lfs.github.com/spec/v1
+oid sha256:7bc5a1523f4e60107640ea44d2cb27c787bc339ba0c93be6c7dbf744d5635cd6
+size 630886

en_nl/README.md

@@ -0,0 +1,13 @@
+# English-Dutch
+
+Data compiled by [Opus](https://opus.nlpl.eu/).
+
+Dictionary data from Wiktionary using [Wiktextract](https://github.com/tatuylonen/wiktextract).
+
+Includes pretrained models from [Stanza](https://github.com/stanfordnlp/stanza/).
+
+Credits:
+Holger Schwenk, Vishrav Chaudhary, Shuo Sun, Hongyu Gong and Paco Guzman, WikiMatrix: Mining 135M Parallel Sentences in 1620 Language Pairs from Wikipedia, arXiv, July 11 2019.
+
+P. Lison and J. Tiedemann, 2016, OpenSubtitles2016: Extracting Large Parallel Corpora from Movie and TV Subtitles. In Proceedings of the 10th International Conference on Language Resources and Evaluation (LREC 2016)
+

en_nl/metadata.json

@@ -0,0 +1,8 @@
+{
+    "package_version": "1.4",
+    "argos_version": "1.4",
+    "from_code": "en",
+    "from_name": "English",
+    "to_code": "nl",
+    "to_name": "Dutch"
+}

en_nl/model/model.bin

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+version https://git-lfs.github.com/spec/v1
+oid sha256:1603d51f61c0066c08b628696fe470ae3c8aec27f487a73e907b197fdced3ac2
+size 93102955

en_nl/sentencepiece.model

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+version https://git-lfs.github.com/spec/v1
+oid sha256:7d5f9332295042f8a4481b11c966ede3c1a29a9358b2e3c6f0ee88b295bd3f21
+size 370128

en_nl/stanza/en/tokenize/ewt.pt

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+version https://git-lfs.github.com/spec/v1
+oid sha256:7bc5a1523f4e60107640ea44d2cb27c787bc339ba0c93be6c7dbf744d5635cd6
+size 630886

en_zh/README.md

@@ -0,0 +1,23 @@
+# English-Chinese
+
+Data compiled by [Opus](https://opus.nlpl.eu/).
+
+Dictionary data from Wiktionary using [Wiktextract](https://github.com/tatuylonen/wiktextract).
+
+Includes pretrained models from [Stanza](https://github.com/stanfordnlp/stanza/).
+
+Credits:
+Holger Schwenk, Vishrav Chaudhary, Shuo Sun, Hongyu Gong and Paco Guzman, WikiMatrix: Mining 135M Parallel Sentences in 1620 Language Pairs from Wikipedia, arXiv, July 11 2019.
+
+J. Tiedemann, 2012, Parallel Data, Tools and Interfaces in OPUS. In Proceedings of the 8th International Conference on Language Resources and Evaluation (LREC 2012)
+
+OPUS and A massively parallel corpus: the Bible in 100 languages, Christos Christodoulopoulos and Mark Steedman, *Language Resources and Evaluation*, 49 (2)
+
+Ziemski, M., Junczys-Dowmunt, M., and Pouliquen, B., (2016), The United Nations Parallel Corpus, Language Resources and Evaluation (LREC’16), Portorož, Slovenia, May 2016.
+
+The following disclaimer, an integral part of the United Nations Parallel Corpus, shall be respected with regard to the Corpus (no other restrictions apply):
+- The United Nations Parallel Corpus is made available without warranty of any kind, explicit or implied. The United Nations specifically makes no warranties or representations as to the accuracy or completeness of the information contained in the United Nations Corpus.
+- Under no circumstances shall the United Nations be liable for any loss, liability, injury or damage incurred or suffered that is claimed to have resulted from the use of the United Nations Corpus. The use of the United Nations Corpus is at the user's sole risk. The user specifically acknowledges and agrees that the United Nations is not liable for the conduct of any user. If the user is dissatisfied with any of the material provided in the United Nations Corpus, the user's sole and exclusive remedy is to discontinue using the United Nations Corpus.
+- When using the United Nations Corpus, the user must acknowledge the United Nations as the source of the information. For references, please cite this reference: Ziemski, M., Junczys-Dowmunt, M., and Pouliquen, B., (2016), The United Nations Parallel Corpus, Language Resources and Evaluation (LREC’16), Portorož, Slovenia, May 2016.
+- Nothing herein shall constitute or be considered to be a limitation upon or waiver, express or implied, of the privileges and immunities of the United Nations, which are specifically reserved.
+

en_zh/metadata.json

@@ -0,0 +1,8 @@
+{
+    "package_version": "1.1",
+    "argos_version": "1.1",
+    "from_code": "en",
+    "from_name": "English",
+    "to_code": "zh",
+    "to_name": "Chinese"
+}

en_zh/model/model.bin

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+version https://git-lfs.github.com/spec/v1
+oid sha256:c37af5f22e9ae00d2a46f66a642600bb0649e33544e71305b509ed22bdbf752e
+size 132573333

en_zh/sentencepiece.model

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+version https://git-lfs.github.com/spec/v1
+oid sha256:25606a42ca9cd80958763a188a6b3636dcf0b83195cf764a8dd1008462dd15ff
+size 798584

en_zh/stanza/en/tokenize/ewt.pt

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+version https://git-lfs.github.com/spec/v1
+oid sha256:7bc5a1523f4e60107640ea44d2cb27c787bc339ba0c93be6c7dbf744d5635cd6
+size 630886

ja_en/README.md

@@ -0,0 +1,38 @@
+# English-Japanese
+
+Data compiled by [Opus](https://opus.nlpl.eu/).
+
+Dictionary data from Wiktionary using [Wiktextract](https://github.com/tatuylonen/wiktextract).
+
+Includes pretrained models from [Stanza](https://github.com/stanfordnlp/stanza/).
+
+Credits:
+@inproceedings{elkishky_ccaligned_2020,
+ author = {El-Kishky, Ahmed and Chaudhary, Vishrav and Guzmán, Francisco and Koehn, Philipp},
+ booktitle = {Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP 2020)},
+ month = {November},
+ title = {{CCAligned}: A Massive Collection of Cross-lingual Web-Document Pairs},
+ year = {2020}
+ address = "Online",
+ publisher = "Association for Computational Linguistics",
+ url = "https://www.aclweb.org/anthology/2020.emnlp-main.480",
+ doi = "10.18653/v1/2020.emnlp-main.480",
+ pages = "5960--5969"
+ }
+
+Holger Schwenk, Vishrav Chaudhary, Shuo Sun, Hongyu Gong and Paco Guzman, WikiMatrix: Mining 135M Parallel Sentences in 1620 Language Pairs from Wikipedia, arXiv, July 11 2019.
+
+@inproceedings{elkishky_ccaligned_2020,
+ author = {El-Kishky, Ahmed and Chaudhary, Vishrav and Guzmán, Francisco and Koehn, Philipp},
+ booktitle = {Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP 2020)},
+ month = {November},
+ title = {{CCAligned}: A Massive Collection of Cross-lingual Web-Document Pairs},
+ year = {2020}
+ address = "Online",
+ publisher = "Association for Computational Linguistics",
+ url = "https://www.aclweb.org/anthology/2020.emnlp-main.480",
+ doi = "10.18653/v1/2020.emnlp-main.480",
+ pages = "5960--5969"
+ }
+
+P. Lison and J. Tiedemann, 2016, OpenSubtitles2016: Extracting Large Parallel Corpora from Movie and TV Subtitles. In Proceedings of the 10th International Conference on Language Resources and Evaluation (LREC 2016)

ja_en/metadata.json

@@ -0,0 +1,8 @@
+{
+    "package_version": "1.1",
+    "argos_version": "1.1",
+    "from_code": "ja",
+    "from_name": "Japanese",
+    "to_code": "en",
+    "to_name": "English"
+}

ja_en/model/model.bin

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+oid sha256:5d2ac0b0e427aa368b635812853a70b09976d2318bf889a9327488968b501c83
+size 132573333

ja_en/sentencepiece.model

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+version https://git-lfs.github.com/spec/v1
+oid sha256:af3f880c259f55c62ed6c77c1ebc3cf46d6a95cc7cd8e9fcc78ee75417b987ef
+size 787932

ja_en/stanza/ja/tokenize/gsd.pt

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+version https://git-lfs.github.com/spec/v1
+oid sha256:e9eb95d21cbb21a4d00be597b769345315efae1721d38fd93cee80b7ee3d7783
+size 1041697

nl_en/README.md

@@ -0,0 +1,13 @@
+# Dutch-English
+
+Data compiled by [Opus](https://opus.nlpl.eu/).
+
+Dictionary data from Wiktionary using [Wiktextract](https://github.com/tatuylonen/wiktextract).
+
+Includes pretrained models from [Stanza](https://github.com/stanfordnlp/stanza/).
+
+Credits:
+Holger Schwenk, Vishrav Chaudhary, Shuo Sun, Hongyu Gong and Paco Guzman, WikiMatrix: Mining 135M Parallel Sentences in 1620 Language Pairs from Wikipedia, arXiv, July 11 2019.
+
+P. Lison and J. Tiedemann, 2016, OpenSubtitles2016: Extracting Large Parallel Corpora from Movie and TV Subtitles. In Proceedings of the 10th International Conference on Language Resources and Evaluation (LREC 2016)
+

nl_en/metadata.json

@@ -0,0 +1,8 @@
+{
+    "package_version": "1.4",
+    "argos_version": "1.4",
+    "from_code": "nl",
+    "from_name": "Dutch",
+    "to_code": "en",
+    "to_name": "English"
+}

nl_en/model/model.bin

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+size 93102955

nl_en/sentencepiece.model

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nl_en/stanza/nl/tokenize/alpino.pt

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zh_en/README.md

@@ -0,0 +1,23 @@
+# Chinese-English
+
+Data compiled by [Opus](https://opus.nlpl.eu/).
+
+Dictionary data from Wiktionary using [Wiktextract](https://github.com/tatuylonen/wiktextract).
+
+Includes pretrained models from [Stanza](https://github.com/stanfordnlp/stanza/).
+
+Credits:
+Holger Schwenk, Vishrav Chaudhary, Shuo Sun, Hongyu Gong and Paco Guzman, WikiMatrix: Mining 135M Parallel Sentences in 1620 Language Pairs from Wikipedia, arXiv, July 11 2019.
+
+J. Tiedemann, 2012, Parallel Data, Tools and Interfaces in OPUS. In Proceedings of the 8th International Conference on Language Resources and Evaluation (LREC 2012)
+
+OPUS and A massively parallel corpus: the Bible in 100 languages, Christos Christodoulopoulos and Mark Steedman, *Language Resources and Evaluation*, 49 (2)
+
+Ziemski, M., Junczys-Dowmunt, M., and Pouliquen, B., (2016), The United Nations Parallel Corpus, Language Resources and Evaluation (LREC’16), Portorož, Slovenia, May 2016.
+
+The following disclaimer, an integral part of the United Nations Parallel Corpus, shall be respected with regard to the Corpus (no other restrictions apply):
+- The United Nations Parallel Corpus is made available without warranty of any kind, explicit or implied. The United Nations specifically makes no warranties or representations as to the accuracy or completeness of the information contained in the United Nations Corpus.
+- Under no circumstances shall the United Nations be liable for any loss, liability, injury or damage incurred or suffered that is claimed to have resulted from the use of the United Nations Corpus. The use of the United Nations Corpus is at the user's sole risk. The user specifically acknowledges and agrees that the United Nations is not liable for the conduct of any user. If the user is dissatisfied with any of the material provided in the United Nations Corpus, the user's sole and exclusive remedy is to discontinue using the United Nations Corpus.
+- When using the United Nations Corpus, the user must acknowledge the United Nations as the source of the information. For references, please cite this reference: Ziemski, M., Junczys-Dowmunt, M., and Pouliquen, B., (2016), The United Nations Parallel Corpus, Language Resources and Evaluation (LREC’16), Portorož, Slovenia, May 2016.
+- Nothing herein shall constitute or be considered to be a limitation upon or waiver, express or implied, of the privileges and immunities of the United Nations, which are specifically reserved.
+

zh_en/metadata.json

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+{
+    "package_version": "1.0",
+    "argos_version": "1.1",
+    "from_code": "zh",
+    "from_name": "Chinese",
+    "to_code": "en",
+    "to_name": "English"
+}

zh_en/model/model.bin

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zh_en/sentencepiece.model

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zh_en/stanza/zh-hans/tokenize/gsdsimp.pt

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