How to Build Smarter Multilingual Text Wrapping with BudouX Through Parsing, HTML Rendering, Model Introspection, and Toy Training


import subprocess, sys
def pip(*pkgs):
   subprocess.check_call([sys.executable, "-m", "pip", "install", "-q", *pkgs])
pip("budoux")


import json, time, textwrap, html, random, re, os, tempfile
from pathlib import Path
import budoux
from IPython.display import HTML, display, Markdown


print(f"✅ BudouX version: ' ")


def header(title):
   display(Markdown(f"## ' "))


header("1️⃣ Default parsers — Japanese / Chinese (Simplified & Traditional) / Thai")


samples = ' 
for name, (text, parser) in samples.items():
   chunks = parser.parse(text)
   print(f"\n•  '.join(chunks)")
   print(f"  raw   : {text}")
   print(f"  parsed: {' | '.join(chunks)}    ({len(chunks)} phrases)")



Source link

  • Related Posts

    Google Research Introduces ME-POIs: A Mobility-Informed Framework that Adds “How a Place Is Used” to Text-Based POI Embeddings

    A team from Google Research and USC has released Mobility-Embedded POIs (ME-POIs), a framework that folds aggregate human movement into text-based place embeddings. The premise is that language models describe…

    Generalist AI Releases GEN-1.5: A Robot Foundation Model That Learns New Tasks From One 3–12 Second Demo

    Generalist AI has released GEN-1.5, a robot foundation model that learns a new physical task from a single demonstration. Drop 3–12 seconds of sensorimotor data into its 30-second context window,…

    Leave a Reply

    Your email address will not be published. Required fields are marked *