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     This package contains the TreeTagger, a probabilistic part-of-speech
     tagger developed by Helmut Schmid. All rights are reserved by the
     Institute for Computational Linguistics at the University of
     Stuttgart. The programs have been statically compiled for x86 computers
     running Linux.
     tagger developed by Helmut Schmid. All rights are reserved by the
     Institute for Computational Linguistics at the University of Stuttgart.
     The programs have been compiled for PCs with the Linux operating system.
     Many thanks to Arne Fitschen for doing this!
     Files contained in this package:
-...
     - bin/train-tree-tagger training program
     - bin/tree-tagger       tagger programm
     - bin/separate-punctuation program for tokenization (used by the shell scripts)
     - cmd/lookup.perl       Perl script for pretagging
     - doc/nemlap94.ps       paper describing the TreeTagger
     - doc/sigdat95.ps       paper describing the TreeTagger

     /***************************************************************************/
     /* How to use the TreeTagger                                               */
     /* Author: Helmut Schmid, University of Stuttgart, Germany                 */
     /***************************************************************************/
     /*****************************************************************************/
     /* How to use the TreeTagger                                                 */
     /*****************************************************************************/
     The TreeTagger consists of two programs: train-tree-tagger is used to
-...
     input will be read from stdin. If neither an input file nor an output file
     is specified, the tagger will print to stdout.
     tree-tagger {-options-} <parameter file> {<input file> {<output file>}}
     tree-tagger <parameter file> <input file> <output file> {-eps <epsilon>}
            {-base} {-proto} {-sgml} {-token} {-lemma} {-beam <threshold>}
     Description of the command line arguments:
     * <parameter file>: Name of a parameter file which was created with the
       train-tree-tagger program.
     * <input file>: Name of the file which is to be tagged. Each token in this
       file has to be on a separate line. Tokens may contain blanks. It is possible
       file must be on a separate line. Tokens may contain blanks. It is possible
       to override the lexical information contained in the parameter file of the
       tagger by specifying a list of possible tags after a token. This list has
       to be preceded by a tab character and the elements are separated by tab
       characters. This pretagging feature could be used e.g. to ensure that
       to be preceded by a tab character. The tags are optionally followed by a
       floating point value to specify the probability of the tag. Adding such
       tag information in the tagger's input is sometimes useful to ensure that
       certain text-specific expressions are tagged properly.
       Punctuation marks must be on separate lines as well. Clitics (like "'s",
       "'re", and "'d" in English or "-la" and "-t-elle" in French) should be
       separated if they were separated in the training data. (The French and
       English parameter files available by ftp expect separation of clitics).
       English parameter files available by ftp, expect separation of clitics).
       Sample input file:
         He
         moved
         to
         New York City	NP
         New York City	NP 1.0
+        .
     * <output file>: Name of the file to which the tagger should write its output.
     Further optional command line arguments:
     * -token: The words/tokens are printed in addition to the POS tags
     * -lemma: Lemmas are printed as well.
     * -sgml: This option instructs the tagger to ignore tokens which start
       with '<' and end with '>' (SGML tags).
     * -lex <f>: The file <f> contains additional lexicon entries to be used
       by the tagger. The file format is identical to the format of the lexicon
       argument of the training program (see below).
     * -no-unknown: If an unknown word is encountered, emit the word form
       as lemma. This was previously the default behaviour. Now, the default
       behaviour is to print "<unknown>" as lemma.
     * -threshold <p>: This option tells the tagger to print all tags of a
       word with a probability higher than <p> times the largest probability.
       (The tagger will use a different algorithm in this case and the set of
       best tags might be different from the tags generated without this
       option.)
     * -prob: Print tag probabilities (in combination with option -threshold)
     * -pt-with-prob: If this option is specified, then each pretagging tag
       (see above) has to be followed by a whitespace and a tag probability
       value.
     * -pt-with-lemma: If this option is specified, then each pretagging tag
       (see above) has to be followed by a whitespace and a lemma. Lemmas may
       contain blanks.
       If both -pt-with-prob and -pt-with-lemma have been specified, then each
       pretagging tag is followed by a probability and a lemma in that order.
     * -hyphen-heuristics: needed for chunking. See below for more information
       about how to train a chunk parameter file with hyphen-heuristics.
     * -token: tells the tagger to print the words also.
     * -lemma: tells the tagger to print the lemmas of the words also.
     * -sgml: tells the tagger to ignore tokens starting with '<' and ending
       with '>' (SGML tags).
     * -threshold p: tells the tagger to print all tags of a word with a probability higher than p times the largest tag probability. (The tagger will use the Forward-Backward algorithm instead of the Viterbi algorithm to annotate the data if this option is used.)
     * -lex file: tells the tagger to read additional lexicon entries form "file". The lexicon format is the same as that of the lexicon file used for training.
     The options below are for advanced users. Please, read the papers on the
     TreeTagger to fully understand their meaning.
     The options below are for advanced users. Read the papers on the TreeTagger
     to fully understand their meaning.
     * -proto: If this option is specified, the tagger creates a file named
       "lexicon-protocol.txt", which contains information about the degree of
-...
       hyphen has been found in the fullform lexicon.
     * -eps <epsilon>: Value which is used to replace zero lexical frequencies.
       This is the case if a word/tag pair is contained in the lexicon but not
       in the training corpus. The choice of this parameter has only minor
       influence on the tagging accuracy.
       in the training corpus. The default is 0.1. The choice of this parameter
       has some minor influence on tagging accuracy.
     * -beam <threshold>: If the tagger is slow, this option can be used to speed it up.
       Good values for <threshold> are in the range 0.001-0.00001.
     * -base: If this option is specified, only lexical information is used
       for tagging but no contextual information about the preceding tags.
       This option is only useful in order to obtain a baseline result
       to which to compare the actual tagger output.
     There is another tagger program called "tree-tagger-flush" which
     flushes the output after reading an empty line. It expects a parameter
     file as argument and reads from stdin and writes to stdout. No command
     line options are supported. This program might be useful for
     implementing wrappers.
     Training
     --------
     Training is done with the *train-tree-tagger* program. It expects at least
     four command line arguments which are described below.
     train-tree-tagger {options} <lexicon> <open class file> <input file> <output file>
     train-tree-tagger <lexicon> <open class file> <input file> <output file>
                 {-cl <context length>} {-dtg <min. decision tree gain>}
                 {-ecw <eq. class weight>} {-atg <affix tree gain>} {-st <sent. tag>}
     Description of the command line arguments:
     * <lexicon>: name of a file which contains the fullform lexicon. Each line
       of the lexicon corresponds to one word form and contains the word form
       and a sequence of tag-lemma pairs. Each tag is preceded by a tab character
       and each lemma is preceded by a blank or tab character.
       itself followed by a Tab character and a sequence of tag-lemma pairs.
       The tags and lemmata are separated by whitespace.
       Example:
     aback	RB aback
     abacuses	NNS abacus
     abandon	VB abandon	VBP abandon
     abandoned	JJ abandoned	VBD abandon	VBN abandon
     abandon	VB abandon VBP abandon
     abandoned	JJ abandoned VBD abandon VBN abandon
     abandoning	VBG abandon
       Attention: Ordinal and cardinal numbers which consist of digits
       (like 1, 13, 1278 or 2. and 75.) should not be included in the
       lexicon. Otherwise, the tagger will not be able to learn how to tag
       numbers which are not listed in the lexicon. Numbers with unusual
       tags should be added to the lexicon, however. If the training
       program reports an error because the POS tag used for numbers is
       unknown, you should add a lexicon entry for one number.
       Remark: The tagger doesn't need the lemmata actually. If you do not have
       the lemma information or if you do not plan to annotate corpora with
       lemmas, you can replace the lemma with a dummy value, e.g. "-".
       Remark: The tagger doesn't need the lemmas for tagging actually. If
       you do not have the lemma information or if you do not plan to
       annotate corpora with lemmas, you can replace the lemma with a dummy
       value, e.g. "-".
       You can use the Perl script make-lex.perl as follows in order to
       create a tagger lexicon from the training corpus:
         cmd/make-lex.perl corpus > lexicon
       If you have additional lexicon entries stored in a separate file "lex"
       with entries like this (The POS tag is preceded by a tab character.)
         aback   RB aback
         aback   RP aback
         abacs   NNS abac
       you can include them as follows:  cmd/make-lex.perl corpus lex > lexicon
       If train-tree-tagger complains about unknown tags, just add another
       entry to the lexicon with the respective POS tag.
     * <open class file>: name of a file which contains a list of open class tags
       i.e. possible tags of unknown word forms separated by whitespace.
     * <open class file>: name of a file which contains a list of open class
       tags i.e. possible tags of unknown word forms separated by whitespace.
       The tagger will use this information when it encounters unknown words,
       i.e. words which are not contained in the lexicon.
       Example: (for Penn Treebank tagset)
-...
     * <input file>: name of a file which contains tagged training data. The data
       must be in one-word-per-line format. This means that each line contains
       one token and one tag in that order separated by a tabulator.
       Punctuation marks are considered as tokens and must be tagged as well.
       The file should neither contain empty lines nor untagged SGML markup.
       Punctuation marks are considered as tokens and must have been tagged as well.
       Example:
     Pierre  NP
-...
     * -st <sent. tag>: the end-of-sentence part-of-speech tag, i.e. the tag which
       is assigned to sentence punctuation like ".", "!", "?".
       Default is "SENT". You have to use this option, if your tag for sentence
       punctuation is not "SENT". If you have more than one such tag, choose the
       most frequent one.
     * -utf8 assume that the data is encoded with UTF8
       Default is "SENT". It is important to set this option properly, if your
       tag for sentence punctuation is not "SENT".
     * -cl <context length>: number of preceding words forming the statistical
       context. The default is 2 which corresponds to a trigram context. For
       small training corpora and/or large tagsets, it could be useful to reduce
       this parameter to 1.
     * -dtg <min. decision tree gain>: Threshold - If the information gain at a
       leaf node of the decision tree is below this threshold, the node is deleted.
     * -sw <weight>: A smoothing parameter, which determines how much the
       probability distribution of some decision tree node is smoothed with the
       probability distribution of the parent node.
       The default value is 0.7.
     * -ecw <eq. class weight>: weight of the equivalence class based probability
       estimates.
       estimates. The default is 0.15.
     * -atg <affix tree gain> Threshold - If the information gain at a leaf of an
       affix tree is below this threshold, it is deleted. The default is 1.2.
     The accuracy of the TreeTagger usually improves, if different settings
     of the above parameters are tested and the best combination is chosen.
     Caveat: Make sure that the lexicon and the training corpus contain no
     extra blanks. If the word form, for instance, is followed by a blank
     and a tab character, the blank will be considered part of the word.
     The script 'cmd/create-pos-parameter-file' can be used to train a
     parameter file, provided the file: 'lib/open-class-tags' exists.
     The script creates a lexicon and a parameter file
     that both will be stored in the lib-directory.
     Training a parameter file for chunking
     ---------------------------------------
     (This section of the README file was created by Wiebke Wagner.)
     Training is done with the *train-tree-tagger* program just like the training
     of part-of-speech parameter files. The input files differ (see below).
     train-tree-tagger {options} <lexicon> <open class file> <input file> <output file>
     Description of the command line arguments:
     * <lexicon>: name of a file which contains the fullform lexicon. Each line
       of the lexicon corresponds to one word form and contains the word form
       with its pos-tag and a sequence of chunktag-lemma pairs. Since there is
       no lemma for a string containing a word and its pos, lemma is just a
       dummy-placeholder. Each chunktag
       is preceded by a tab character and each dummy-lemma is preceded by a blank or tab character.
       Example:
     Abs-NP  NP/I-NC #       NP/B-NC #
     Academic-NP     NP/I-NC #
     Activated-VVN   VBN/B-VC #      VBN/B-NC #
     Activation-NN   NN/I-NC #       NN/B-NC #
     VB      VB/I-VC #
       The lexicon must contain specific entries that contain a hypen
       ('WORD-POS	POS/IOB DUMMY-LEMMA') and general entries without a hypen
       ('POS	   POS/IOB DUMMY-LEMMMA)'. The hypen-heuristics enables the
       program to select the general entry if no specific entry is available.
       You can use the Perl script make-chunk-lex.perl as follows in order to
       create a tagger-chunker lexicon from the training corpus:
       'cmd/make-chunk-lex.perl' corpus > chunker-lexicon
       Attention: if 'train-tree-tagger' shows the error message:
       'ERROR: Sentence punctuation tag "SENT" is not in lexicon!'
       add the option: [-st 'SENT/O'] to the system call.
       If train-tree-tagger complains about unknown tags, just add another
       entry to the lexicon with the respective POS tag.
     * <open class file>: name of a file which contains only the dummy entry:
       NN/B-NC. If there are general entries in the lexicon for every
       word class, and if the hyphen heuristic is activated  no tags
       have to be guessed.
     * <input file>: name of a file which contains training data annotated
       with part-of-speech tags  and chunk tags. The data
       must be in one-word-per-line format. This means that each line contains
       one token with its mark-up:
       WORD-POS	POS/IOB DUMMY-LEMMA
       The file should neither contain empty lines nor untagged SGML markup.
       Example:
     Activation-NN   NN/I-NC
     of-IN   IN/B-PC
     the-DT  DT/B-NC
     CD28-NP NP/I-NC
     surface-NN      NN/I-NC
     * <output file>: name of the file in which the resulting tagger parameters
       are stored.
     The optional parameters like for training a part-of-speech parameter file
     The accuracy of the TreeTagger usually improves, if different settings
     of the above parameters are tested and the best combination is chosen.
     Caveat: Make sure that the lexicon and the training corpus contain no
     extra blanks. If the word form, for instance, is followed by a blank
     and a tab character, the blank will be considered part of the word.
     The script 'cmd/create-chunk-parameter-file' can be used to train a chunk
     parameter file, provided the file: 'lib/open-class-chunks' exists and
     contains the dummy entry:
     NN/B-NC
     The script creates a lexicon and a parameter file
     that both will be stored in the lib-directory.
     The accuracy of the TreeTagger is usually slightly improved, if different
     settings of the above parameters are tested and the best combination is
     chosen.

     /****************************************************************************/
     /* How to install the Windows version of the TreeTagger                     */
     /*                                                                          */
     /* Author: Helmut Schmid, CIS, Ludwig-Maximilians-Universität, Germany      */
     /****************************************************************************/
     This is the Windows distribution of the TreeTagger.
     It contains the following files:
     - tree-tagger.exe: the tagger program
     - train-tree-tagger.exe: the training program
     - utf8-tokenize.perl: A Perl script which transforms the tagger input
                         into one-word-perl-line format
     - *-abbreviations:  abbreviation lists required by the tokenizer
     - tag-*.bat:        batch files for different languages which call
                         the tokeniser and the tagger
     - chunk-*.bat	    batch files for POS tagging and chunking
     Installation
     ------------
 . Install a Perl interpreter (if you have not already installed one).
        You can download a Perl interpreter for Windows for free at
        http://www.activestate.com/activeperl/
 . Move the TreeTagger directory to the root directory of drive C:.
 . Download the PC parameter files for the languages you need, decompress
        them (e.g. using Winzip or 7zip) and move them to the subdirectory lib.
        Rename the parameter files to <language>-utf8.par
        Example: Rename french-par-linux-3.2-utf8.bin to french-utf8.par
        Non-UTF8 parameter files are not supported anymore.
 . Add the path C:\TreeTagger\bin to the PATH environment variable.
 . Open a shell and type the command
        set PATH=C:\TreeTagger\bin;%PATH%
 . Change to the directory C:\TreeTagger
 . Now you can test the tagger, e.g. by analyzing this file with the command
        tag-english INSTALL.txt
     If you install the TreeTagger in a different directory, you have to
     modify the first path in the batch files tag-*.bat.
     Michaela Atterer told me that she had difficulties to install the
     TreeTagger on a Windows XP system. She recommends the following
     work-around.
 . Windows XP:
     -Right click on "My Computer"
     -Select the "Advanced" tab
     -Click on "Environment Variables"
     -click on New: enter PATH and C:\TreeTagger\bin\;%PATH%
     If the files have been unpacked into a single directory, you should
     restore the following directory structure:
     TreeTagger:
     INSTALL.txt  README.txt  bin  cmd  lib
     TreeTagger/bin:
     tag-english.bat  tag-german.bat   tag-spanish.bat        tree-tagger.exe
     tag-french.bat   tag-italian.bat  train-tree-tagger.exe
     TreeTagger/cmd:
     mwl-lookup.perl  tokenize.pl
     TreeTagger/lib:
     english-abbreviations  german-abbreviations   spanish-abbreviations
     french-abbreviations   italian-abbreviations  spanish-mwls
     Note that the TreeTagger comes without a graphical interface. You have
     to run it by entering a command in a command line window. If you prefer
     a graphical interface, try the one provided by Ciarán Ó Duibhín at
     http://www.smo.uhi.ac.uk/~oduibhin/oideasra/interfaces/winttinterface.htm
     /****************************************************************************/
     /* How to install the Windows version of the TreeTagger                     */
     /****************************************************************************/
     This is the Windows distribution of the TreeTagger.
     It contains the following files:
     - tree-tagger.exe: the tagger program
     - train-tree-tagger.exe: the training program
     - utf8-tokenize.perl: A Perl script which transforms the tagger input
                         into one-word-perl-line format
     - *-abbreviations:  abbreviation lists required by the tokenizer
     - tag-*.bat:        batch files for different languages which call
                         the tokeniser and the tagger
     - chunk-*.bat	    batch files for POS tagging and chunking
     Installation
     ------------
 . Install a Perl interpreter (if you have not already installed one).
        You can download a Perl interpreter for Windows for free at
        http://www.perl.org
 . Extract the zip file (if it was not extracted yet) and move the
        TreeTagger directory to the root directory of drive C:\.
 . Download the parameter files for the languages you need, decompress
        them (e.g. using Winzip or 7zip) and move them to the subdirectory TreeTagger/lib.
 . Add the path C:\TreeTagger\bin to the PATH environment
        variable. The necessary steps differ from one Windows version to the other.
 . Open a command prompt window and type the command
        set PATH=C:\TreeTagger\bin;%PATH%
 . Go to the directory C:\TreeTagger
        cd c:\TreeTagger
 . Now you can test the tagger, e.g. by analyzing this file with the command
        tag-english INSTALL.txt
     The input should be encoded in UTF8.
     If you install the TreeTagger in a different directory, you have to
     modify the first path in the batch files tag-*.bat using an editor
     such as Wordpad.
     If the files have been unpacked into a single directory, you should
     restore the following directory structure:
     TreeTagger:
     INSTALL.txt  README.txt  bin  cmd  lib
     TreeTagger/bin:
     tag-english.bat  tag-german.bat   tag-spanish.bat        tree-tagger.exe
     tag-french.bat   tag-italian.bat  train-tree-tagger.exe
     TreeTagger/cmd:
     mwl-lookup.perl  tokenize.pl
     TreeTagger/lib:
     english-abbreviations  german-abbreviations   spanish-abbreviations
     french-abbreviations   italian-abbreviations  spanish-mwls
     Note that the TreeTagger comes without a graphical interface. You have
     to run it by entering a command in a command line window. If you prefer
     a graphical interface, try the one provided by Ciarán Ó Duibhín at
     http://www.smo.uhi.ac.uk/~oduibhin/oideasra/interfaces/winttinterface.htm

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-...
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     Ibid.
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     v.B.
     v.w.
     var.
     viz.
     vol.
     vols.
     vs.
     w.c.

     -hdg.
     -tlg.
 Tel.
 st.
 ff.
 j.
 Tel.
 jähr.
 j.
 So.
 j.
     A.
     A.-Br.
     A.-G.
     A.-Kuntz-Str.
     A.D.
     A.G.
     A.N.A.C.R.F.
     A.T.
     ADN-Korr.
     AF-Volkskorr.
     AGA-Annonc.
     AR-Volkskorr.
     AT-Mot.
     AWG-Wohng.
     Aach.
     Aachn.
     Aamtl.
     Abb.
     Abbestr.
     Abdeckpl.
     Abdseg.
     Abendrestaur.
     Abenthumstr.
     Abess.
     Abf.
     Abg.
     Abk.
     Abl.
     Ablief.-Gew.
     Ablös.
     Abm.
     Abrechn.
     Abs.
     Abschlußprfg.
     Abschlußprüfg.
     Abschn.
     Abschr.
     Absetzbkt.
     Abspr.
     Abst.
     Abstellfl.
     Abstellpl.
     Abt.
     Abteistr.
     Abtlg.
     Acc.
     Achenbachstr.
     Achterkab.
     Achtermannstr.
     Ackermannstr.
     Act.
     Ad.
     Adalbertstr.
     Add.
     Adelheidstr.
     Adlerflychtstr.
     Adolfsbr.
     Adolfstr.
     Adr.
     Adt.
     Ag.
     Aggrip.
     Agl.
     Agt.
     Ahornstr.
     Aindorferstr.
     Ainmillerstr.
     AirC.
     Airl.
     Akad.
     Akk.
     Akkermannstr.
     Akt.
     Akt.-G.
     Akt.-Ges.
     Akt.-Nr.
     Aktbr.
     Aktien-Nr.
     Aktv.
     Aktz.
     Akz.
     Alarmanl.
     Albanusstr.
     Albertusstr.
     Albing.
     Alcan.
     Alem.
     Alemannenstr.
     Alex.
     Alexanderstr.
     Alexanderw.
     Alexandrastr.
     Alfa-Montr.
     Alfm.
     Alfredstr.
     Alg.
     Algem.
     Alk.
     Alleestr.
     Alleinbeauftr.
     Alleinbeauftragt.
     Alleininh.
     Allerstr.
     Allg.
     Allg.-Bildg.
     Allgem.
     Allianz-Leb.
     Allianz-Vers.
     Almanasrh.
     Alnmillerstr.
     Alph.
     Alt-Schmargend.
     Alt-Schönebg.
     Alt.-Kalt.
     Altbt.
     Altenbg.
     Altentagesst.
     Altersbeschr.
     Altheimstr.
     Altkönigstr.
     Altluth.
     Altsäng.
     Altw.
     Altwageneint.
     Alu-Felg.
     Alu.
     Alufelg.
     Alum.
     Am.
     Amat.
     Amb.
     Ambg.
     Amer.
     Amp.
     Amsterd.
     Amtl.
     Anal.
     Anb.
     Andlerflychtstr.
     Andreasstr.
     Andrestr.
     Andréstr.
     Anerkg.
     Anf.
     Anfr.
     Anfrag.
     Anfäng.
     Ang.
     Angab.
     Angb.
     Angeb.
     Angeh.
     Angertorstr.
     Angest.
     Angl.
     Anglo-Am.
     Anh.
     Anhängerkuppl.
     Ank.
     Anl.
     Anl.-Obj.
     Anl.-Verm.
     Anlageverm.
     Anleih.
     Anm.
     Anmeld.
     Ann.-Exp.
     Ann.-Exped.
     Annastr.
     Annenstr.
     Annoncen-Exp.
     Annoncen-Exped.
     Annoncen-Expedit.
     Anr.
     Anschl.
     Anspr.
     Anst.
     Ant.
     Anten.
     Antiquitätenhandlg.
     Antoniterstr.
     Antr.
     Antw.
     Antwerp.
     Anz.
     Anz.-Ann.
     Anz.-Exp.
     Anz.-Exped.
     Anz.-Ges.
     Anz.-Mittl.
     Anz.-Verm.
     Anzahlg.
     Anzeig.-Exped.
     Anzeig.-Vermittl.
     Anzhl.
     Anzhlg.
     Ap.
     Apart.
     Apostelgem.
     Apoth.
     Apothek.
     App.
     Appart.
     Appartem.
     Appel-Fk.
     Apr.
     April-Abl.
     April-Lief.
     April-Mai-Abl.
     Apt.
     Arb.
     Arbeitsgemeinsch.
     Arbg.
     Arbn.
     Arbrechtl.
     Archäol.
     Arcisstr.
     Argent.
     Argentin.
     Argonnenstr.
     Armenruhstr.
     Arminiusstr.
     Arndstr.
     Arndtstr.
     Arnsburgerstr.
     Arnsburgg.
     Art.
     Arzneim.-Großhlg.
     Asahi-Chem.
     Asc.
     Aschaffb.
     Aschaffenb.
     Aschaffenbg.
     Ascheb.
     Aschffbg.
     Asiat.
     Ass.
     Assist.
     At.
     Ath.
     Athosstr.
     Atl.
     Atlas-Lev.
     Atlasw.
     Atmosph.
     Audenstr.
     Aufb.
     Aufbaugeb.
     Aufbrauch-Erkr.
     Aufg.
     Aufgabengeb.
     Aufl.
     Aufn.
     Aufnahmebed.
     Aufst.
     Auftr.
     Auftr.-Nr.
     Aufz.
     Aug.
     Aug.-Abl.
     Aug.-Wilh.
     Augsb.
     Augsburgerstr.
     August-Bebel-Str.
     Augustinusstr.
     Aunelstr.
     Aureliusstr.
     Ausbau-Abt.
     Ausbaumöglk.
     Ausbeutg.
     Ausbild.
     Ausbildg.
     Ausf.
     Ausführ.
     Ausführg.
     Ausg.
     Ausgl.
     Ausk.
     Auskft.
     Ausl.
     Ausl.-Akt.
     Ausl.-Anl.
     Auslandsanl.
     Auslandsb.
     Auslief.
     Auslieferungsgew.
     Auslieferungslag.
     Ausn.
     Auss.
     Ausseh.
     Ausst.
     Ausstatt.
     Ausstattg.
     Ausstellg.
     Ausstellungspl.
     Ausstg.
     Aust.
     Austatt.
     Austr.
     Austral.
     Austrofds.
     Auswandg.
     Auswert.
     Ausz.
     Aut.
     Aut.-Mittelsch.
     Auto-Abstellpl.
     Autob.
     Autob.-Abf.
     Autobahnanschl.
     Autobahnausf.
     Autohs.
     Autom.
     Automat.
     Automin.
     Automob.
     Autopist.
     Autopl.
     Av.
     Avda.
     Averhoffstr.
     Az.
     B.
     B.-Ang.
     B.-Angest.
     B.-E.
     B.-Str.
     B.O.A.C.
     B.P.
     B.P.a.
     B.Wttbg.
     BGBl.
     BMW-Niederl.
     Babenh.
     Bachmannstr.
     Bachmannstrr.
     Bachstr.
     Backhausstr.
     Bad.
     Bad.-Württ.
     Bad.-Württemb.
     Badeabt.
     Badeabtlg.
     Baden-württ.
     Badenw.
     Badenwk.
     Badezi.
     Badezim.
     Badstr.
     Bagh.
     Bahnanschl.
     Bahnhofsstr.
     Bahnhofst.
     Bahnhofstr.
     Bahnstr.
     Bal.
     Balk.
     Balkonzim.
     Baltim.
     Bamb.
     Bambg.
     Bandelstr.
     Bangertstr.
     Bankdir.
     Bankges.
     Bankhyp.
     Bankkaufm.
     Bankprax.
     Bankv.
     Bansastr.
     Baranz.
     Barauszhlg.
     Barbarossastr.
     Barckhausstr.
     Bardostr.
     Barkap.
     Barpr.
     Barz.
     Barzahl.
     Barzahlg.
     Basaltstr.
     Basketb.
     Bastelausst.
     Battonnstr.
     Battonstr.
     Bau-Ing.
     Bau-Zem.
     Bauabwickl.
     Baugenehmig.
     Bauges.
     Baugesch.
     Baugrdst.
     Baugroßhdlg.
     Baugrundst.
     Bauing.
     Bauj.
     Bauk.-Zusch.
     Baukostenzusch.
     Baumasch.
     Baumbest.
     Baumstr.
     Baumw.
     Baumwollsaatöl.
     Baupl.
     Bauspard.
     Baust.
     Bauw.
     Bauzust.
     Bay.
     Bayer.
     Bay.-ObLG.
     Bayern-Münch.
     Bayernwk.
     Bayerstr.
     Bayr.
     Bb.
     Bch.
     Bd.
     Bd.-Reg.
     Bd.-Str.
     Bdbahn.
     Bde.
     Bde..
     Bds.
     Beamt.
     Beamtenhaush.
     Bearbeitg.
     Beauftr.
     Bechtenwaldstr.
     Bed.
     Bedg.
     Bedieng.
     Beding.
     Beethovenstr.
     Befäh.
     Beg.
     Begl.
     Begr.
     Begründg.
     Behandl.
     Behdl.
     Behrenstr.
     Behring-Krkh.
     Beiersd.
     Beih.
     Beisetzg.
     Beisp.
     Beitr.
     Beitr.-rückerst.
     Beitr.rückerst.
     Beitragserst.
     Beiw.
     Beleucht.
     Belg.
     Bem.
     Benf.
     Benz.
     Beobacht.
     Bequemlichk.
     Ber.
     Berat.
     Beratg.
     Beratungsst.
     Bereif.
     Berg.
     Bergb.
     Bergbl.
     Bergerstr.
     Bergstr.
     Bergw.
     Berh.
     Berl.
     Berlinerstr.
     Bernh.
     Bernusstr.
     Bertramstr.
     Berufl.
     Berufsauss.
     Berufserfahr.
     Berufsvorbildg.
     Bes.
     Bes.-Gr.
     Besch.
     Beschl.
     Besichtig.
     Bespr.
     Best.
     Best.-Nr.
     Bestellnr.
     Bestz.
     Bestzust.
     Bestzustd.
     Besucherz.
     Bet.
     Betckestr.
     Beteil.
     Beteilig.
     Bethl.
     Bethmannstr.
     Betr.
     Bett.
     Betr.-Akad.
     Betr.-Ing.
     Betr.-Nr.
     Betramstr.
     Betriebsabr.
     Betriebsabrechn.
     Betriebsführ.
     Betriebswirtsch.
     Bettinastr.
     Bev.
     Bew.
     Bewegungsgym.
     Beweism.
     Bewerb.
     Bewerbg.
     Bewert.
     Bez.
     Bezahl.
     Bezieh.
     Beziehg.
     Bezirks-Redakt.
     Bfrs.
     Bg.
     Bgb.
     Bgl.
     Bgm.
     Bhf.
     Bib.
     Biblioth.
     Bieberstr.
     Biebr.
     Bielef.
     Bierbr.
     Bietigh.
     Bildoff.
     Bildzuschr.
     Bilf.
     Bill-Br.
     Bill-Brauer.
     Billbr.
     Bin.
     Binding-Br.
     Biolog.
     Birkenstr.
     Birkenwaldstr.
     Bischöfl.
     Bismarckstr.
     Bismarkstr.
     Bj.
     Bk.
     BkS.
     Bkges.
     Bkvers.
     Bkz.
     Bkz.-Finanz.
     Bkz.-Finanzierg.
     Bl.
     Bleibiskopfstr.
     Bleichstr.
     Blk.
     Bln.
     Bln.-Charlottenbg.
     Blumenstr.
     Blumenthalstr.
     Blutspendezentr.
     Blz.
     Blücherstr.
     Bm.
     Bmstr.
     Boch.
     Boch.-Gels.
     Bockenh.
     Bod.
     Bodelschwinghstr.
     Bodensieckhs.
     Bogenstr.
     Bolongarostr.
     Bongardstr.
     Bootshfn.
     Bootspl.
     Bor.
     Bornh.
     Borsigstr.
     Borsigw.
     Boruss.
     Botsch.
     Bottigstr.
     Bourg-St.
     Bov.
     Bozenerstr.
     Bpr.
     Br.
     Br.-Veg.
     Brahmsstr.
     Brahmstr.
     Branch.
     Brau.
     Braubachstr.
     Brauereifds.
     Brauind.
     Brauneggerstr.
     Braunfelsstr.
     Braunk.
     Braunl.
     Brauns.
     Braunschw.
     Braunschwg.
     Braunschwst.
     Brd.
     Bredenstr.
     Brehmstr.
     Breitbg.
     Breitenb.
     Breitenbg.
     Breitscheidstr.
     Brem.
     Bremsh.
     Brentanostr.
     Breslauerstr.
     Breubergstr.
     Brg.
     Brh.
     Brit.
     Brk.
     Brockhöfe-Bhf.
     Brok.
     Brosch.
     Brown.
     Brschr.
     Brschw.

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