Local Grammar Graph might be applied to support Computer Assisted Language Learning. Here, I have composed a transducer ( a local grammar that can give output) to convert archaic English words to Modern English). We know that literature and religious texts are two major genres where archaic English are often preserved. Consider the excerpt from Sir Walter Scott's Ivanhoe here:
-----He exclaimed in a lower tone "Couldst thou have ruled thine unreasonable passion, thy father ....----
We can see that there are some archaic words posited on the text. The conventional method to solve this problem is by consulting dictionaries, especially those containing archaic entries. But, should you re-index your dictionary, or typing, if your dictionary is electronic? Can we automate this procesess? The answer is YES. By applying the transducer to this kind of text, which must machine readable text,we might obtain the equivalences in present day English (or we can say M modern English). The result will look like this:
-----He exclaimed in a lower tone "Couldst [could] thou [you] have ruled thine unreasonable passion, thy [your] father ....----
The transducer that designed, can locate the archaic words in English by consulting the lexical resource (machine readable dictionary), which contains archaic entries and their equivalences in present day English (that i had previously constructed), and automatically assigning the present day English to the words.
