Overview
Below is a conceptual Python example showing how you might expand your LinguisticProcessingAPI to handle additional alphabets (Greek, Hebrew, Arabic, and Devanagari, as used in Sanskrit) and include a large set of mathematical operators. It’s important to note that truly supporting all languages and scripts is beyond the scope of a short script—Unicode spans many thousands of characters and each script has its own nuances and grapheme rules. However, this example illustrates the approach:
import unicodedata
import regex
class MultilingualProcessingAPI:
def __init__(self):
# Supported language codes and scripts
self.supported_languages = {
"en": {"script": "Latin", "description": "English"},
"el": {"script": "Greek", "description": "Greek"},
"he": {"script": "Hebrew", "description": "Hebrew"},
"ar": {"script": "Arabic", "description": "Arabic"},
"sa": {"script": "Devanagari", "description": "Sanskrit (Devanagari)"},
# add other codes as needed
}
# Core Latin graphemes (a–z, A–Z, numbers, punctuation)
latin = (
"abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ"
"0123456789"
" .,!?;:'\"()-—–—/\\"
)
# Greek alphabet (upper and lower)
greek = (
"αβγδεζηθικλμνξοπρσςτυφχψω"
"ΑΒΓΔΕΖΗΘΙΚΛΜΝΞΟΠΡΣΤΥΦΧΨΩ"
)
# Hebrew alphabet
hebrew = "אבגדהוזחטיכלמנסעפצקרשת"
# Arabic alphabet (base forms)
arabic = (
"ابتثجحخدذرزسشصضطظعغفقكلمنهوي"
)
# Devanagari letters (basic set for Sanskrit)
devanagari = (
"अआइईउऊऋऌऍएऐओऔंः"
"कखगघङचछजझञटठडढणतथदधन"
"पफबभमयरलवशषसह"
"ािीुूृॄॣेैोौ्"
)
# Mathematical operators and common symbols
math_ops = (
"+−*/%=" # basic arithmetic
"<>≤≥≠≈≡≜" # comparisons
"∞∑∏√∫∂∇∇·×÷" # calculus, dot/cross
"≔≕≃≅⊂⊃⊆⊇∈∉∪∩∧∨" # sets and logic
"→←↔↦↷↶⇔⇐⇒⇑⇓" # arrows
"!^|‖⊕⊗⊙" # factorial/power/absolute/tensors
)
# Build a unified allowed-set
self.grapheme_set = set(
latin + greek + hebrew + arabic + devanagari + math_ops
)
def process_text(self, text, language_code='en'):
# Validate input type
if not isinstance(text, str):
return {
"status": "failure",
"processed_text": "",
"language": None,
"validation_status": "error",
"validation_messages": ["Invalid input type; expected string."],
"original_input": text,
"input_language_code": language_code
}
# Lowercase and strip leading/trailing whitespace
processed = text.strip().lower()
# Normalize to NFC
processed = unicodedata.normalize('NFC', processed)
# Identify invalid characters
invalid_chars = {c for c in processed if c not in self.grapheme_set}
if invalid_chars:
return {
"status": "success",
"processed_text": processed,
"language": language_code if language_code in self.supported_languages else "generic",
"validation_status": "warning",
"validation_messages": [
"Contains characters outside supported scripts or operators: "
+ ", ".join(sorted(invalid_chars))
],
"original_input": text,
"input_language_code": language_code
}
return {
"status": "success",
"processed_text": processed,
"language": language_code if language_code in self.supported_languages else "generic",
"validation_status": "valid",
"validation_messages": [],
"original_input": text,
"input_language_code": language_code
}
# Example usage:
api = MultilingualProcessingAPI()
example = "Ε = m c² + ∑_{n=1}^∞ 1/n²" # Greek letter epsilon, summation and exponent
result = api.process_text(example, language_code="el")
print(result)
Key points:
- This script defines a
MultilingualProcessingAPIthat combines Latin, Greek, Hebrew, Arabic, Devanagari, and a large set of mathematical operators into a single allowed set. - It normalizes text using Unicode NFC, replaces nothing by default, and flags any character not present in the allowed set.
- It returns whether the input contains unsupported characters and what they are.
- For languages not explicitly supported, the API will still work but the
languagefield in the response is marked as'generic'.
Please be aware that expanding support to truly all languages (including scripts like Han ideographs, Hangul, Ethiopic, etc.) would require adding many thousands of Unicode code points and understanding how each script should be normalized and validated. This script offers a starting framework but isn’t exhaustive.
If you need help listing common mathematical operators (within about 2000 characters) or clarifying the code above, let me know!
Key terms in plain language
Open a term for a concise explanation of language used on this page.
API
An application programming interface is a defined way for software systems to exchange data or request functions from one another.
Artificial Intelligence (AI)
Software designed to perform tasks involving prediction, classification, generation, reasoning, or decision support. Business use still requires clear data, governance, security, and human accountability.
Cloud Computing
Computing resources—such as applications, servers, storage, or databases—delivered from remote infrastructure and scaled as requirements change.
Cybersecurity
The practices and controls used to protect identities, devices, networks, applications, and data from unauthorized access, disruption, or manipulation.
Identity and Access Management (IAM)
The systems and policies that determine who a user is, what resources they may access, and how that access is authenticated and reviewed.
Bandwidth
The amount of data a connection can carry in a given time, usually measured in Mbps or Gbps. More bandwidth supports more users, devices, and simultaneous applications.