Usage: apertium-tagger [OPTION]... -g SERIALISED_BASIC_TAGGER \ [INPUT \ [OUTPUT]] or: apertium-tagger [OPTION]... -r ITERATIONS \ CORPUS \ SERIALISED_BASIC_TAGGER or: apertium-tagger [OPTION]... -s ITERATIONS \ DICTIONARY \ CORPUS \ TAGGER_SPECIFICATION \ SERIALISED_BASIC_TAGGER \ TAGGED_CORPUS \ UNTAGGED_CORPUS or: apertium-tagger [OPTION]... -s 0 \ -u MODEL \ SERIALISED_BASIC_TAGGER \ TAGGED_CORPUS or: apertium-tagger [OPTION]... -t ITERATIONS \ DICTIONARY \ CORPUS \ TAGGER_SPECIFICATION \ SERIALISED_BASIC_TAGGER Mandatory arguments to long options are mandatory for short options too. -d, --debug with -g, print error messages about the input -f, --first with -g, reorder each lexical unit's analyses so that the chosen one is first -m, --mark with -g, mark disambiguated lexical units -p, --show-superficial with -g, output each lexical unit's surface form -z, --null-flush with -g, flush the output after getting each null character -u, --unigram=MODEL use unigram algorithm MODEL from <http://coltekin.net/cagri/papers/trmorph-tools.pdf> -w, --sliding-window use the Light Sliding Window algorithm -g, --tagger disambiguate the input -r, --retrain=ITERATIONS with -u: exit; otherwise: retrain the tagger with ITERATIONS unsupervised iterations -s, --supervised=ITERATIONS with -u: train the tagger with a hand-tagged corpus; with -w: exit; otherwise: initialise the tagger with a hand-tagged corpus and retrain it with ITERATIONS unsupervised iterations -t, --train=ITERATIONS with -u: exit; otherwise: train the tagger with ITERATIONS unsupervised iterations -h, --help display this help and exit

Usage: apertium-tagger [OPTION]... -g SERIALISED_BASIC_TAGGER \ [INPUT \ [OUTPUT]] or: apertium-tagger [OPTION]... -r ITERATIONS \ CORPUS \ SERIALISED_BASIC_TAGGER or: apertium-tagger [OPTION]... -s ITERATIONS \ DICTIONARY \ CORPUS \ TAGGER_SPECIFICATION \ SERIALISED_BASIC_TAGGER \ TAGGED_CORPUS \ UNTAGGED_CORPUS or: apertium-tagger [OPTION]... -s 0 \ -u MODEL \ SERIALISED_BASIC_TAGGER \ TAGGED_CORPUS or: apertium-tagger [OPTION]... -t ITERATIONS \ DICTIONARY \ CORPUS \ TAGGER_SPECIFICATION \ SERIALISED_BASIC_TAGGER Mandatory arguments to long options are mandatory for short options too. -d, --debug with -g, print error messages about the input -f, --first with -g, reorder each lexical unit's analyses so that the chosen one is first -m, --mark with -g, mark disambiguated lexical units -p, --show-superficial with -g, output each lexical unit's surface form -z, --null-flush with -g, flush the output after getting each null character -u, --unigram=MODEL use unigram algorithm MODEL from <http://coltekin.net/cagri/papers/trmorph-tools.pdf> -w, --sliding-window use the Light Sliding Window algorithm -g, --tagger disambiguate the input -r, --retrain=ITERATIONS with -u: exit; otherwise: retrain the tagger with ITERATIONS unsupervised iterations -s, --supervised=ITERATIONS with -u: train the tagger with a hand-tagged corpus; with -w: exit; otherwise: initialise the tagger with a hand-tagged corpus and retrain it with ITERATIONS unsupervised iterations -t, --train=ITERATIONS with -u: exit; otherwise: train the tagger with ITERATIONS unsupervised iterations -h, --help display this help and exit