How do you even give an (openFST-made) FST input? Where does the output go?

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不知归路
不知归路 2021-02-07 03:04

Before I start, note that I\'m using the linux shell (via using subprocess.call() from Python), and I am using openFST.

I\'ve been sifting through documents

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  • 2021-02-07 03:35

    One way is to create your machine that performs the transformation. A very simple example would be to upper case a string.

    M.wfst

    0 0 a A
    0 0 b B
    0 0 c C
    0
    

    The accompanying symbols file contains a line for for each symbols of the alphabet. Note 0 is reserved for null (epsilon) transitions and has special meaning in many of the operations.

    M.syms

    <epsilon> 0
    a 1
    b 2
    c 3
    A 4
    B 5
    C 6
    

    Then compile the machine

    fstcompile --isymbols=M.syms --osymbols=M.syms M.wfst > M.ofst
    

    For an input string "abc" create a linear chain automata, this is a left-to-right chain with an arc for each character. This is an acceptor so we only need a column for the input symbols.

    I.wfst

    0 1 a
    1 2 b
    2 3 c
    3  
    

    Compile as an acceptor

    fstcompile --isymbols=M.syms --acceptor I.wfst > I.ofst
    

    Then compose the machines and print

    fstcompose I.ofst M.ofst | fstprint --isymbols=M.syms --osymbols=M.syms 
    

    This will give the output

    0   1   a   A
    1   2   b   B
    2   3   c   C
    3
    

    The output of fstcompose is a lattice of all transductions of the input string. (In this case there is only one). If M.ofst is more complicated fstshortestpath can be used to extract n-strings using the flags --unique -nshortest=n. This output is again a transducer, you could either scrap the output of fstprint, or use C++ code and the OpenFst library to run depth first search to extract the strings.

    Inserting fstproject --project_output will convert the output to an acceptor containing only the output labels.

    fstcompose I.ofst M.ofst | fstproject --project_output |  fstprint --isymbols=M.syms --osymbols=M.syms 
    

    Gives the following

    0  1  A  A
    1  2  B  B
    2  3  C  C
    3
    

    This is an acceptor because the input and output labels are the same, the --acceptor options can be used to generate more succinct output.

     fstcompose I.ofst M.ofst | fstproject --project_output |  fstprint --isymbols=M.syms --acceptor
    
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  • 2021-02-07 03:39

    The example from Paul Dixon is great. As the OP uses Python I thought I'd add a quick example on how you can "run" transducers with Open FST's Python wrapper. It's a shame that you can not create "linear chain automata" with Open FST, but it's simple to automate as seen below:

    def linear_fst(elements, automata_op, keep_isymbols=True, **kwargs):
        """Produce a linear automata."""
        compiler = fst.Compiler(isymbols=automata_op.input_symbols().copy(), 
                                acceptor=keep_isymbols,
                                keep_isymbols=keep_isymbols, 
                                **kwargs)
    
        for i, el in enumerate(elements):
            print >> compiler, "{} {} {}".format(i, i+1, el)
        print >> compiler, str(i+1)
    
        return compiler.compile()
    
    def apply_fst(elements, automata_op, is_project=True, **kwargs):
        """Compose a linear automata generated from `elements` with `automata_op`.
    
        Args:
            elements (list): ordered list of edge symbols for a linear automata.
            automata_op (Fst): automata that will be applied.
            is_project (bool, optional): whether to keep only the output labels.
            kwargs:
                Additional arguments to the compiler of the linear automata .
        """
        linear_automata = linear_fst(elements, automata_op, **kwargs)
        out = fst.compose(linear_automata, automata_op)
        if is_project:
            out.project(project_output=True)
        return out
    

    Let's define a simple Transducer that uppercases the letter "a":

    f_ST = fst.SymbolTable()
    f_ST.add_symbol("<eps>", 0)
    f_ST.add_symbol("A", 1)
    f_ST.add_symbol("a", 2)
    f_ST.add_symbol("b", 3)
    compiler = fst.Compiler(isymbols=f_ST, osymbols=f_ST, keep_isymbols=True, keep_osymbols=True)
    
    print >> compiler, "0 0 a A"
    print >> compiler, "0 0 b b"
    print >> compiler, "0"
    caps_A = compiler.compile()
    caps_A
    

    Now we can simply apply the transducer using :

    apply_fst(list("abab"), caps_A)
    

    Output:

    To see how to use it for an acceptor look at my other answer

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