fasttag_v2 | My Part of Speech Tagger | Speech library

 by   mark-watson Java Version: Current License: No License

kandi X-RAY | fasttag_v2 Summary

kandi X-RAY | fasttag_v2 Summary

fasttag_v2 is a Java library typically used in Artificial Intelligence, Speech applications. fasttag_v2 has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.

Licensed under LGPL3 or Apache 2 licenses. My Part of Speech Tagger written in Java. The code is set up to read the file lexicon.txt. If you also want to handle additional medical terms, use the file medical_plus_regular_lexicon.txt instead.

            kandi-support Support

              fasttag_v2 has a low active ecosystem.
              It has 41 star(s) with 16 fork(s). There are 6 watchers for this library.
              It had no major release in the last 6 months.
              There are 2 open issues and 0 have been closed. On average issues are closed in 1907 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of fasttag_v2 is current.

            kandi-Quality Quality

              fasttag_v2 has 0 bugs and 0 code smells.

            kandi-Security Security

              fasttag_v2 has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              fasttag_v2 code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              fasttag_v2 does not have a standard license declared.
              Check the repository for any license declaration and review the terms closely.
              Without a license, all rights are reserved, and you cannot use the library in your applications.

            kandi-Reuse Reuse

              fasttag_v2 releases are not available. You will need to build from source code and install.
              Build file is available. You can build the component from source.
              fasttag_v2 saves you 86 person hours of effort in developing the same functionality from scratch.
              It has 221 lines of code, 7 functions and 3 files.
              It has high code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed fasttag_v2 and discovered the below as its top functions. This is intended to give you an instant insight into fasttag_v2 implemented functionality, and help decide if they suit your requirements.
            • Simple test program
            • Convert a string to a List of Strings
            • Tag words
            • Removes control characters from a string
            • Build lexicon
            • Checks if the given word is in the lexicon
            Get all kandi verified functions for this library.

            fasttag_v2 Key Features

            No Key Features are available at this moment for fasttag_v2.

            fasttag_v2 Examples and Code Snippets

            No Code Snippets are available at this moment for fasttag_v2.

            Community Discussions


            Enable use of images from the local library on Kubernetes
            Asked 2022-Mar-20 at 13:23

            I'm following a tutorial,

            currently, I have the right image



            Answered 2022-Mar-16 at 08:10

            If your image has a latest tag, the Pod's ImagePullPolicy will be automatically set to Always. Each time the pod is created, Kubernetes tries to pull the newest image.

            Try not tagging the image as latest or manually setting the Pod's ImagePullPolicy to Never. If you're using static manifest to create a Pod, the setting will be like the following:



            IndexError: tuple index out of range when I try to create an executable from a python script using auto-py-to-exe
            Asked 2022-Feb-24 at 15:03

            I have been trying out an open-sourced personal AI assistant script. The script works fine but I want to create an executable so that I can gift the executable to one of my friends. However, when I try to create the executable using the auto-py-to-exe, it states the below error:



            Answered 2021-Nov-05 at 02:20
            42681 INFO: PyInstaller: 4.6
            42690 INFO: Python: 3.10.0



            Google Actions Builder stops execution when selecting a visual item from a List
            Asked 2022-Feb-23 at 15:32

            I'm pulling my hairs here. I have a Google Assistant application that I build with Jovo 4 and Google Actions Builder.

            The goal is to create a HelpScene, which shows some options that explain the possibilities/features of the app on selection. This is the response I return from my Webhook. (This is Jovo code, but doesn't matter as this returns a JSON when the Assistant calls the webhook.)



            Answered 2022-Feb-23 at 15:32

            Okay, after days of searching, I finally figured it out. It did have something to do with the Jovo framework/setup and/or the scene parameter in the native response.

            This is my component, in which I redirect new users to the HelpScene. This scene should show multiple cards in a list/collection/whatever on which the user can tap to receive more information about the application's features.



            How to use muti-language in 'gTTS' for single input line?
            Asked 2022-Jan-29 at 07:05

            I want to convert text to speech from a document where multiple languages are included. When I am trying to do the following code, I fetch problems to record each language clearly. How can I save such type mixer text-audio clearly?



            Answered 2022-Jan-29 at 07:05

            It's not enough to use just text to speech, since it can work with one language only.
            To solve this problem we need to detect language for each part of the sentence.
            Then run it through text to speech and append it to our final spoken sentence.
            It would be ideal to use some neural network (there are plenty) to do this categorization for You.
            Just for a sake of proof of concept I used googletrans to detect language for each part of the sentences and gtts to make a mp3 file from it.

            It's not bullet proof, especially with arabic text. googletrans somehow detect different language code, which is not recognized by gtts. For that reason we have to use code_table to pick proper language code that works with gtts.

            Here is working example:



            Assigning True/False if a token is present in a data-frame
            Asked 2022-Jan-06 at 12:38

            My current data-frame is:



            Answered 2022-Jan-06 at 12:13


            speechSynthesis.getVoices (Web Speech API) doesn't show some of the locally installed voices
            Asked 2021-Dec-31 at 08:19

            I'm trying to use Web Speech API to read text on my web page. But I found that some of the SAPI5 voices installed in my Windows 10 would not show up in the output of speechSynthesis.getVoices(), including the Microsoft Eva Mobile on Windows 10 "unlock"ed by importing a registry file. These voices could work fine in local TTS programs like Balabolka but they just don't show in the browser. Are there any specific rules by which the browser chooses whether to list the voices or not?



            Answered 2021-Dec-31 at 08:19

            OK, I found out what was wrong. I was using Microsoft Edge and it seems that Edge only shows some of Microsoft voices. If I use Firefox, the other installed voices will also show up. So it was Edge's fault.



            Combining Object Detection with Text to Speech Code
            Asked 2021-Dec-28 at 16:46

            I am trying to write an object detection + text-to-speech code to detect objects and produce a voice output on the raspberry pi 4. However, as of right now, I am trying to write a simple python script that incorporates both elements into a single .py file and preferably as a function. I will then run this script on the raspberry pi. I want to give credit to Murtaza's Workshop "Object Detection OpenCV Python | Easy and Fast (2020)" and for the Text to speech documentation for pyttsx3. I have attached the code below. I have tried running the program and I always keep getting errors with the Text to speech code (commented lines 33-36 for reference). I believe it is some looping error but I just can't seem to get the program to run continuously. For instance, if I run the code without the TTS part, it works fine. Otherwise, it runs for perhaps 3-5 seconds and suddenly stops. I am a beginner but highly passionate in computer vision, and any help is appreciated!



            Answered 2021-Dec-28 at 16:46

            I installed pyttsx3 using the two commands in the terminal on the Raspberry Pi:

            1. sudo apt update && sudo apt install espeak ffmpeg libespeak1
            2. pip install pyttsx3

            I followed the video to install pyttsx3. My functional code should also be listed above. My question should be resolved but hopefully useful to anyone looking to write a similar program. I have made minor tweaks to my code.



            Yielding values from consecutive parallel parse functions via meta in Scrapy
            Asked 2021-Dec-20 at 07:53

            In my scrapy code I'm trying to yield the following figures from parliament's website where all the members of parliament (MPs) are listed. Opening the links for each MP, I'm making parallel requests to get the figures I'm trying to count. I'm intending to yield each three figures below in the company of the name and the party of the MP

            Here are the figures I'm trying to scrape

            1. How many bill proposals that each MP has their signature on
            2. How many question proposals that each MP has their signature on
            3. How many times that each MP spoke on the parliament

            In order to count and yield out how many bills has each member of parliament has their signature on, I'm trying to write a scraper on the members of parliament which works with 3 layers:

            • Starting with the link where all MPs are listed
            • From (1) accessing the individual page of each MP where the three information defined above is displayed
            • 3a) Requesting the page with bill proposals and counting the number of them by len function 3b) Requesting the page with question proposals and counting the number of them by len function 3c) Requesting the page with speeches and counting the number of them by len function

            What I want: I want to yield the inquiries of 3a,3b,3c with the name and the party of the MP in the same raw

            • Problem 1) When I get an output to csv it only creates fields of speech count, name, part. It doesn't show me the fields of bill proposals and question proposals

            • Problem 2) There are two empty values for each MP, which I guess corresponds to the values I described above at Problem1

            • Problem 3) What is the better way of restructuring my code to output the three values in the same line, rather than printing each MP three times for each value that I'm scraping



            Answered 2021-Dec-18 at 06:26

            This is happening because you are yielding dicts instead of item objects, so spider engine will not have a guide of fields you want to have as default.

            In order to make the csv output fields bill_prop_count and res_prop_count, you should make the following changes in your code:

            1 - Create a base item object with all desirable fields - you can create this in the file of your scrapy project:



            Rails. Puma stops working when instantiating a client of Google Cloud Text-to-Speech (Windows)
            Asked 2021-Dec-15 at 22:07

            I've upgraded my Ruby version from 2.5.x to 2.6.x (and uninstalled the 2.5.x version). And now Puma server stops working when instantiating a client of Google Cloud Text-to-Speech:



            Answered 2021-Dec-07 at 08:52

            Try reinstalling ruby-debug



            R - Regular Expression to Extract Text Between Parentheses That Contain Keyword
            Asked 2021-Nov-13 at 22:41

            I need to extract the text from between parentheses if a keyword is inside the parentheses.

            So if I have a string that looks like this:

            ('one', 'CARDINAL'), ('Castro', 'PERSON'), ('Latin America', 'LOC'), ('Somoza', 'PERSON')

            And my keyword is "LOC", I just want to extract ('Latin America', 'LOC'), not the others.

            Help is appreciated!!

            This is a sample of my data set, a csv file:



            Answered 2021-Nov-13 at 22:41

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network


            No vulnerabilities reported

            Install fasttag_v2

            You can download it from GitHub.
            You can use fasttag_v2 like any standard Java library. Please include the the jar files in your classpath. You can also use any IDE and you can run and debug the fasttag_v2 component as you would do with any other Java program. Best practice is to use a build tool that supports dependency management such as Maven or Gradle. For Maven installation, please refer For Gradle installation, please refer .


            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
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