add Anomalies

README.md

@@ -54,6 +54,27 @@ For us it has proven useful to delete the following pairs of sentences:
 - **`en_de_token_count`**: number of tokens of the `de` text, tokenized with [deepset/gbert-large](https://huggingface.co/deepset/gbert-large)
 - **`cos_sim`**: the [cosine similarity](https://en.wikipedia.org/wiki/Cosine_similarity) of both sentences measured with [sentence-transformers/paraphrase-multilingual-mpnet-base-v2](https://huggingface.co/sentence-transformers/paraphrase-multilingual-mpnet-base-v2)
 
+## Anomalies in the texts
+It is noticeable that the [OpenSubtitles](https://opus.nlpl.eu/OpenSubtitles-v2018.php) texts have weird dash prefixes. This looks like this:
+
+```
+- Hast du was draufgetan?
+```
+
+To remove them you could apply this function:
+
+```python
+import re
+
+def clean_text(text):
+    text = re.sub("^[-\s]*", "", text)
+    text = re.sub("[-\s]*$", "", text)
+    return text
+
+df["de"] = df["de"].apply(clean_text)
+df["en_de"] = df["en_de"].apply(clean_text)
+```
+
 ## Parallel text corpora used
 | Corpus name & link                                                    | Number of paraphrases |
 |-----------------------------------------------------------------------|----------------------:|