chunking

Chunking sentences using the word 'but' with RegEx

十年热恋 提交于 2021-02-07 20:43:04
问题 I am attempting to chunk sentences using RegEx at the word 'but' (or any other coordinating conjunction words). It's not working... sentence = nltk.pos_tag(word_tokenize("There are no large collections present but there is spinal canal stenosis.")) result = nltk.RegexpParser(grammar).parse(sentence) DigDug = nltk.RegexpParser(r'CHUNK: {.*<CC>.*}') for subtree in DigDug.parse(sentence).subtrees(): if subtree.label() == 'CHUNK': print(subtree.node()) I need to split the sentence "There are no

Chunking sentences using the word 'but' with RegEx

谁说我不能喝 提交于 2021-02-07 20:42:31
问题 I am attempting to chunk sentences using RegEx at the word 'but' (or any other coordinating conjunction words). It's not working... sentence = nltk.pos_tag(word_tokenize("There are no large collections present but there is spinal canal stenosis.")) result = nltk.RegexpParser(grammar).parse(sentence) DigDug = nltk.RegexpParser(r'CHUNK: {.*<CC>.*}') for subtree in DigDug.parse(sentence).subtrees(): if subtree.label() == 'CHUNK': print(subtree.node()) I need to split the sentence "There are no

Chunking sentences using the word 'but' with RegEx

耗尽温柔 提交于 2021-02-07 20:41:45
问题 I am attempting to chunk sentences using RegEx at the word 'but' (or any other coordinating conjunction words). It's not working... sentence = nltk.pos_tag(word_tokenize("There are no large collections present but there is spinal canal stenosis.")) result = nltk.RegexpParser(grammar).parse(sentence) DigDug = nltk.RegexpParser(r'CHUNK: {.*<CC>.*}') for subtree in DigDug.parse(sentence).subtrees(): if subtree.label() == 'CHUNK': print(subtree.node()) I need to split the sentence "There are no

Python: Chunking others than noun phrases (e.g. prepositional) using Spacy, etc

最后都变了- 提交于 2020-12-01 07:24:22
问题 Since I was told Spacy was such a powerful Python module for natural speech processing, I am now desperately looking for a way to group words together to more than noun phrases, most importantly, prepositional phrases. I doubt there is a Spacy function for this but that would be the easiest way I guess (SpacySpaCy import is already implemented in my project). Nevertheless, I'm open for any possibility of phrase recognition/ chunking. 回答1: Here's a solution to get PPs. In general you can get

WCF Chunking / Streaming

断了今生、忘了曾经 提交于 2020-01-11 15:31:40
问题 I'm using WCF and want to upload a large file from the client to the server. I have investigated and decided to follow the chunking approach outlined at http://msdn.microsoft.com/en-us/library/aa717050.aspx However, this approach (just like streaming) restricts the contract to limited method signitures: [OperationContract(IsOneWay=true)] [ChunkingBehavior(ChunkingAppliesTo.InMessage)] void UploadStream(Stream stream); The sample uses the rather convenient example of uploading a file from a

I know about uploading in chunks, do we have to do something on receiving end?

巧了我就是萌 提交于 2020-01-03 05:19:18
问题 my azure function receives large video files and images and stores it in Azure blob. Client API is sending data in chunks to my Azure htttp trigger function. Do I have to do something at receiving-end to improve performance like receiving data in chunks? Bruce, actually Client code is being developed by some other team. right now i am testing it by postman and getting files from multipart http request. foreach (HttpContent ctnt in provider.Contents) { var dataStream = await ctnt

I know about uploading in chunks, do we have to do something on receiving end?

十年热恋 提交于 2020-01-03 05:19:02
问题 my azure function receives large video files and images and stores it in Azure blob. Client API is sending data in chunks to my Azure htttp trigger function. Do I have to do something at receiving-end to improve performance like receiving data in chunks? Bruce, actually Client code is being developed by some other team. right now i am testing it by postman and getting files from multipart http request. foreach (HttpContent ctnt in provider.Contents) { var dataStream = await ctnt