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This page presents user-supplied information, hence may be inaccurate in some details, or not necessarily reflect use patterns anticipated by the [incr tsdb()] developers. This page was initiated by FrancisBond; please feel free to make additions or corrections as you see fit. However, before revising this page, one should be reasonably confident of the information given being correct.

Contents

1. Page Status
   1. 1. Parsing
   2. 1. Generation
   3. 1. Transfer
   4. 1. Translation
   5. 1. Preprocessing

Parsing

You can generate from a profile by selecting it, loading a grammar and then doing Process–All Items.

The default is to parse with the grammar loaded in the lkb/tsdb combination, but you can also parse with client grammars (see ItsdbDistributedProcessing).

You can store MRSs when you parse with either (setf tsdb::*tsdb-semantix-hook* ”mrs::get-mrs-string”) or by selecting Process|Switches|write ‘mrs’ Field.

Generation

You can generate from a profile with stored MRSes (by, e.g. thinning normalize with (setf tsdb::*redwoods-semantix-hook* ”mrs::get-mrs-string”).

First select the profile with MRSes as the Gold Profile (middle click; if you don’t have a middle button, click on Compare–Source Database to choose the gold profile). Then create a new profile with the same skeleton, and select it (left click). Set Process—Switches—generate. Make sure you have a grammar loaded that can generate. Then do Process–All Items.

You can check whether the generated output includes the input parse as follows. Select the profile with MRSes as the Gold Profile (middle click), and then select the generated profile. Change the Compare — Switches to Subset Comparison and Best Parse Only. Change Compare   — Intersection to derivation, and select Compare — Detail.

Transfer

You can transfer (MRS to MRS translation) from a profile with stored MRSes.

First select the profile with MRSes as the Gold Profile (middle click). Then create a new profile with the same skeleton, and select it (left click). Set Process—Switches—transfer. Make sure you have a transfer grammar loaded. Then do Process–All Items.

Translation

In theory, you can translate (parse, transfer and generate) in one fell swoop.

Preprocessing

You can pass the items to be parsed through a preprocessor by defining it in the cpu. E.g.

  (make-cpu
    :host (short-site-name)
    :spawn "/path/to/cheap"
    :options (list "-tsdb"  "-tok=yy" "-packing=7" "-default-les"
                   (format nil "~a/grammars/japanese/japanese.grm" %delphin%))
    :preprocessor "lkb::chasen-preprocess-for-pet"
    :class :chasen :grammar "jacy-chasen" :name "jacy-chasen" :threshold 2)
   (make-cpu
    :host (short-site-name)
    :spawn "/path/to/cheap"
    :options (list "-tsdb"  "-tok=yy" "-packing=7" "-default-les"
                   (format nil "~a/grammars/japanese/japanese.grm" %delphin%))
    :preprocessor "tsdb::rasp-preprocess-for-pet"
    :class :rasp :grammar "jacy-rasp" :name "jacy-rasp" :threshold 2)

chasen-preprocess-for-pet and rasp-preprocess-for-pet are lisp functions that take two arguments, the item itself and an optional tagger, and return a tokenized string suitable for pet: in this case the yy-tokenization.

chasen-preprocess-for-pet calls an external morphological analyzer (ChaSen) and reformats the output.

rasp-preprocess-for-pet assumes the input is of the form word_pos word_pos and associates each word with its POS in the input chart.

Last update: 2024-05-10 by EricZinda [edit]