We lifted 12 functions out of this paper's own repositories and ran 11 of them in a sandbox. "Ran" means the function executed on a synthesized input and returned a value. It is not a reproduction of the paper's results.
| Repository | Role | Ran |
|---|---|---|
| danielinux7/Multilingual-Parallel-Corpus | pwc_unofficial | 11 of 12 |
| Function | Status | Where it lives |
|---|---|---|
| change_hypen | Ran | danielinux7/Multilingual-Parallel-Corpus/src/utils/ab/split_parallel.py code served (permissive licence) · get_code("b270383cc170e9cd") |
| clean | Ran | danielinux7/Multilingual-Parallel-Corpus/src/utils/ab/preprocess.py code served (permissive licence) · get_code("8cd26caa6b202383") |
| correct_sentences | Ran | danielinux7/Multilingual-Parallel-Corpus/src/utils/ab/split_parallel.py code served (permissive licence) · get_code("5db82633622a30c9") |
| ends_with_acronym | Ran | danielinux7/Multilingual-Parallel-Corpus/src/utils/ab/split_parallel.py code served (permissive licence) · get_code("72f2babdd08170eb") |
| fill_list | Ran | danielinux7/Multilingual-Parallel-Corpus/src/utils/ab/join_corpus.py code served (permissive licence) · get_code("e861f4eba3aacc9f") |
| filter_out | Ran | danielinux7/Multilingual-Parallel-Corpus/src/utils/ab/join_corpus.py code served (permissive licence) · get_code("e1d1bcc40131fd5c") |
| open_list | Ran | danielinux7/Multilingual-Parallel-Corpus/src/utils/ab/preprocess.py code served (permissive licence) · get_code("c1bf663df3842199") |
| remove_duplicate | Ran | danielinux7/Multilingual-Parallel-Corpus/src/utils/ab/preprocess.py code served (permissive licence) · get_code("77b2a0adda7adb5b") |
| replace_strings | Ran | danielinux7/Multilingual-Parallel-Corpus/src/utils/ab/join_corpus.py code served (permissive licence) · get_code("bd190fb17edaad1c") |
| strip_accents | Ran | danielinux7/Multilingual-Parallel-Corpus/src/utils/ab/parse_dictionary.py code served (permissive licence) · get_code("048d5b46b5abc501") |
| strip_clips | Ran | danielinux7/Multilingual-Parallel-Corpus/src/utils/ab/parse_dictionary.py code served (permissive licence) · get_code("70127593241e6599") |
| get_following_text | Not yet run | danielinux7/Multilingual-Parallel-Corpus/src/utils/ab/parse_dictionary.py code served (permissive licence) · get_code("239db4e0abc718d8") |
Some links come from the archived Papers with Code dataset (CC BY-SA 4.0): attribution and licence.
A current problem in NLP is massaging and processing low-resource languages which lack useful training attributes such as supervised data, number of native speakers or experts, etc. This review paper concisely summarizes previous groundbreaking achievements made towards resolving this problem, and analyzes potential improvements in the context of the overall future research direction.
The same record, over MCP at https://syntology.ai/mcp:
get_harvested_code_for_paper("2006.07264")
get_code_for_paper("2006.07264")
have("2006.07264")
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