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English-Chinese translation system-YanFa-5 which integrates keyword matching scoring, sentence pattern matching scoring with semantic scoring. Experiment results show that YanFa-5 is more accurate in the assessment of student on-line English-Chinese translations.
mapped to the keyword corresponding to that gesture. The keywords are then sent to text to speech conversion module, which speaks or plays the sentence for natural language speaker. In contrast to sign to speech conversion, the speech to sign language conversion module translates the spoken language to sign language. In
Keywords and searching template, the word segmentation algorithm based on the dictionary of keyword, the storage of searching template and the algorithm of template matching. On the foundation, we implement a QA system for Railway domain application, the experimental result show that QA system based on techniques we employed
designed a full automated frame work which has an ability to identify Keyword, symbols, attributes, values and relations among different types of queries by applying an AI methodology. NoSQL Query is generated by using the query elements which are extracted through framework. Even there is no involvement of user normal
taken into account when indexing documents and when performing searching. Utilizing this approach, it is possible to use a natural language to express user queries. In many cases, this way is more usual for users to describe their information needs compared to the keyword style. The factoid question answering task is one
a word-dependent system using the Arabic isolated word /ns10 as10 cs10 as10 ms10//[unk]/ a single keyword for the test utterance. This choice has been made because the word /ns10 as10 cs10 as10 ms10//[unk]/ is mostly used by the Arabic speakers. Speech features are extracted using MFCC. The HTK is used to implement the
verification in software development process. We developed a dictionary tool to support the translation from natural language to formal language. The tool provides functionalities those are easy registration of keywords to the dictionary and exhaustive marking of the keywords. The dictionary represents a map between equivalent
understanding of domain in which semantics of data is machine understandable. Second, we make in Raspberry Pi an interface which has the capability to recognize speech queries and give an oral response. Our interface analyzes each speech query, convert speech to text and extract keywords from the text. Later, these keywords are
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