translation = {'                                             Cloud AI ': 'ਕਲਾਊਡ AI',
 'Entity Extraction': 'ਇਕਾਈ ਐਕਸਟਰੈਕਸ਼ਨ'
 ' Architecture': 'ਆਰਕੀਟੈਕਚਰ',
 ' Conclusion': 'ਸਿੱਟਾ',
 ' Motivation / Entity Extraction': 'ਪ੍ਰੇਰਣਾ / ਹਸਤੀ ਕੱਢਣ',
 ' Recurrent Deep Neural Networks': 'ਆਵਰਤੀ ਡੂੰਘੇ ਨਿਊਰਲ ਨੈੱਟਵਰਕ',
 ' Results': 'ਨਤੀਜੇ',
 ' Word Embeddings': 'ਸ਼ਬਦ ਏਮਬੈਡਿੰਗਸ',
 'Agenda': 'ਏਜੰਡਾ',
 'Also known as Named-entity recognition (NER), entity chunking and entity identification': 'ਨਾਮ-ਹਸਤੀ ਮਾਨਤਾ (NER), ਇਕਾਈ ਚੰਕਿੰਗ ਅਤੇ ਇਕਾਈ ਪਛਾਣ ਵਜੋਂ ਵੀ ਜਾਣਿਆ ਜਾਂਦਾ ਹੈ',
 'Biomedical Entity Extraction': 'ਬਾਇਓਮੈਡੀਕਲ ਇਕਾਈ ਐਕਸਟਰੈਕਸ਼ਨ',
 'Biomedical named entity recognition': 'ਬਾਇਓਮੈਡੀਕਲ ਨਾਮੀ ਇਕਾਈ ਦੀ ਮਾਨਤਾ',
 'Critical step for complex biomedical NLP tasks:': 'ਗੁੰਝਲਦਾਰ ਬਾਇਓਮੈਡੀਕਲ NLP ਕਾਰਜਾਂ ਲਈ ਮਹੱਤਵਪੂਰਨ ਕਦਮ:',
 'Custom Entity Extraction': 'ਕਸਟਮ ਇਕਾਈ ਐਕਸਟਰੈਕਸ਼ਨ',
 'Custom models': 'ਕਸਟਮ ਮਾਡਲ'}

Slide of ppt. If you could see the first word "Custom" is not replaced even though it is present in the dictionary translation

I would like to know why does this happen for some words.

The code for replacing words

prs = Presentation('/content/drive/MyDrive/presentation2.pptx')


# To get shapes in your slides

slides = [slide for slide in prs.slides]
shapes = []
for slide in slides:
    for shape in slide.shapes:
        shapes.append(shape)


def replace_text(replacements: dict, shapes: List[str]):
    """Takes dict of {match: replacement, ... } and replaces all matches.
    Currently not implemented for charts or graphics.
    """
    for shape in shapes:
        for match, replacement in replacements.items():
            if shape.has_text_frame:
                if (shape.text.find(match)) != -1:
                    text_frame = shape.text_frame
                    for paragraph in text_frame.paragraphs:
                        for run in paragraph.runs:
                            cur_text = run.text
                            new_text = cur_text.replace(str(match), str(replacement))
                            run.text = new_text

            if shape.has_table:
                for row in shape.table.rows:
                    for cell in row.cells:
                        if match in cell.text:
                            new_text = cell.text.replace(match, replacement)
                            cell.text = new_text

replace_text(translation, shapes) 

prs.save('output5.pptx')

output from the function

Custom Entity Extraction - Custom ਇਕਾਈ ਐਕਸਟਰੈਕਸ਼ਨ

expected output

Custom Entity Extraction - ਕਸਟਮ ਇਕਾਈ ਐਕਸਟਰੈਕਸ਼ਨ

I think I have found the reason of this happening. In the dictionary there is "Entity Extraction" so I think is that whereever it finds this word it replaces it and once it is replaced word "Custom" doesnot have any translation therefore it is left as it is. Now I am not sure how to make the function avoid doing that.

CodePudding user response：

How about directly replacing the text when it finds a match? I.e.:

    for shape in shapes:
        for match, replacement in replacements.items():
            if shape.has_text_frame:
                if (shape.text.find(match)) != -1:
                    text_frame = shape.text_frame
                    for paragraph in text_frame.paragraphs:
                        for run in paragraph.runs:
                            run.text = replacement

            if shape.has_table:
                for row in shape.table.rows:
                    for cell in row.cells:
                        if match in cell.text:
                            cell.text = replacement

This is assuming you can replace entire texts, and not specific sections

CodePudding user response：

The dictionary was not ordered which is why the words were not replaced correctly. After ordering the keys in the dictionary the words were correctly replaced.