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| From | gah4 <gah4@u.washington.edu> |
| Newsgroups | comp.compilers |
| Subject | Re: State-of-the-art algorithms for lexical analysis? |
| Date | Mon, 6 Jun 2022 10:03:55 -0700 (PDT) |
| Organization | Compilers Central |
| Lines | 29 |
| Sender | news@iecc.com |
| Approved | comp.compilers@iecc.com |
| Message-ID | <22-06-011@comp.compilers> (permalink) |
| References | <Adh5kg76Z0xZslIuRRyzgUhteE2M6A==> <22-06-009@comp.compilers> |
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| Keywords | lex |
| Posted-Date | 06 Jun 2022 15:57:06 EDT |
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| In-Reply-To | <22-06-009@comp.compilers> |
| Xref | csiph.com comp.compilers:3049 |
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On Monday, June 6, 2022 at 8:06:28 AM UTC-7, Roger L Costello wrote: (snip) > I will look into PSL. There are algorithms for converting regexes to DFA > and then using the DFA to tokenize the input. Are there algorithms for > converting PSL to (what?) and then using the (what?) to tokenize the input? The approximate searches are done using dynamic programming. The penalty is 1 for insertion, deletion, or substitution and the score is in 3 bits, so up to six spelling errors. The whole query is then compiled into code for a systolic array, which then runs as fast as the data comes off disk. FDF2 is a 9U VME board that runs in a VME based Sun system. FDF3 connects directly to a SCSI disk, and also to a Sun workstation. In searching, it transfers directly from the disk. To load data into the disk, the disk is accessed indirectly through the FDF3. It is a desktop box, about the size of a large external SCSI disk. Some of it is described here: https://aclanthology.org/X93-1011.pdf along with its use for searching Japanese text, and: https://trec.nist.gov/pubs/trec3/papers/paper.ps.gz
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Re: State-of-the-art algorithms for lexical analysis? Roger L Costello <costello@mitre.org> - 2022-06-06 10:48 +0000 Re: State-of-the-art algorithms for lexical analysis? gah4 <gah4@u.washington.edu> - 2022-06-06 10:03 -0700 Re: State-of-the-art algorithms for lexical analysis? gah4 <gah4@u.washington.edu> - 2022-06-06 12:25 -0700
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