Software Package: Lextools

Lextools是一款用于从高级语言描述创建加权有限状态转导器(WFST)的工具包。该工具支持多种语言描述方式,包括字符串、正则表达式、上下文无关及依赖重写规则等,并提供了专用工具来构建数字字符串到名称的映射语法。Lextools已用于构建多语言TTS系统的文本分析器。

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Lextools is a package of tools for creating weighted
finite-state transducers (WFST) from high-level linguistic
descriptions. These descriptions include: strings, regular
expressions, and lists of these; context-free and
context-dependent rewrite rules; and various more
specialized tools (e.g. a specialized tool for building
grammars of the mapping between digit strings and the
number-names for those strings). A version of lextools was
used, for instance, to build text analyzers for the Bell
Labs multilingual tts system
(http://www.bell-labs.com/project/tts/).

Lextools binaries are available free for non-commercial use
at: http://www.research.att.com/sw/tools/lextools/
Supported platforms are: linux (i686), sgi (mips2) and sun4.

Lextools is built on top of, and requires, the AT&T WFST
toolkit (version 3.6), available free for non-commercial use
from: http://www.research.att.com/sw/tools/fsm/

-
Richard Sproat Human/Computer Interaction Research
rwsresearch.att.com AT&T Labs -- Research, Shannon Laboratory
Tel: +1-973-360-8490 180 Park Avenue, Room B207, P.O.Box 971
Fax: +1-973-360-8809 Florham Park, NJ 07932-0000
- -------------http://www.research.att.com/~rws/ ---------------

### Ascend AI Software Package Introduction The Ascend AI software package, specifically designed for the data center solution, provides a comprehensive set of tools and libraries to support artificial intelligence applications from development to deployment. This suite aims at simplifying the process of building efficient deep learning models while ensuring high performance on Huawei's hardware platforms. #### Key Features - **Unified Development Environment**: Offers an integrated environment that supports both model training and inference tasks with seamless integration between different stages of AI workflows[^1]. - **High Performance Optimization**: Incorporates advanced optimization techniques tailored for specific architectures like those found within Huawei’s Ascend processors, leading to superior computational efficiency during execution phases. - **Rich Algorithm Library Support**: Equipped with extensive pre-built algorithms covering various domains such as computer vision, natural language processing (NLP), etc., enabling developers to quickly implement complex functionalities without starting from scratch every time. - **Ease-of-use APIs & Tools**: Provides user-friendly interfaces along with powerful debugging utilities which facilitate rapid prototyping alongside production-level deployments across multiple devices seamlessly connected through cloud services or local networks. ```python import mindspore_lite as mslite model_path = "./mobilenetv2.ms" input_tensor = mslite.Tensor() output_tensors = [] session = mslite.Session() context = session.create_context(device_type="Ascend", device_id=0) # Load Model net = session.load_model_from_file(model_path=model_path) result = net.predict(input_tensor=input_tensor, output_tensors=output_tensors) print(result) ```
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