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// Command morphbands reports morpheme content per band of vocabulary-id space,
// counted two ways: by type and weighted by corpus frequency.
//
// The two disagree sharply. Morpheme types concentrate early -- around two
// thirds of the first 2,048 sub-words -- and thin out into the tail, but the
// tail is where most of the vocabulary is, so a type count says little about how
// much text is actually covered by morphemic sub-words. Weighting each sub-word
// by how often the tokenizer emits it over the corpus answers that instead.
//
// Frequencies come from encoding the dictionary, the same way the frequency
// plots do, so this takes a few minutes per tokenizer and is the slow part.
package main
import (
"encoding/csv"
"flag"
"fmt"
"log"
"os"
"strconv"
"strings"
"github.com/jonasknobloch/mbpe"
"go.jknobloc.com/x/research/knobloch"
"go.jknobloc.com/x/shelf"
"go.jknobloc.com/x/tokenizer/bpe"
)
// frequencies counts how often each vocabulary id is emitted over the
// dictionary, each word weighted by its corpus count.
func frequencies(t *bpe.Tokenizer, dictPath string) ([]int, error) {
dict := mbpe.NewDict()
if err := dict.Load(dictPath); err != nil {
return nil, err
}
// the dictionary is already pre-tokenized, so re-splitting would corrupt it
m := bpe.MBPE(t)
m.SetPreTokenizer(&knobloch.NoPreTok{})
r := make([]int, len(bpe.Vocab(t)))
for _, v := range dict.Items() {
n := v.N()
for _, id := range t.Encode(v.Src()) {
r[id] += n
}
}
return r, nil
}
func parseBands(s string, size int) []int {
var edges []int
for _, f := range strings.Split(s, ",") {
v, err := strconv.Atoi(strings.TrimSpace(f))
if err != nil {
log.Fatalf("bad band edge %q: %v", f, err)
}
edges = append(edges, v)
}
if edges[0] != 0 {
edges = append([]int{0}, edges...)
}
if last := edges[len(edges)-1]; last < size {
edges = append(edges, size)
}
return edges
}
func share(part, whole int) string {
if whole == 0 {
return ""
}
return fmt.Sprintf("%.2f", 100*float64(part)/float64(whole))
}
func main() {
dirs := flag.String("dirs", "results/knobloch/minipile_19_ctrl/%s_minipile",
"tokenizer directory, %s is the alignment name")
dict := flag.String("dict", "results/knobloch/minipile_19_ctrl/dict.txt",
"pre-tokenized corpus dictionary")
list := flag.String("alignments", "m000,m050,m100,mi050,mi100",
"comma-separated alignments to report")
bands := flag.String("bands", "2048,8192,32768,100512,131072,262144",
"comma-separated upper edges of the id bands")
out := flag.String("out", "morpheme_bands.csv", "output CSV")
flag.Parse()
morph, err := knobloch.Morphemes(shelf.Abs(knobloch.SegmentsPath))
if err != nil {
log.Fatal(err)
}
log.Printf("%d known morphemes", len(morph))
f, err := os.Create(*out)
if err != nil {
log.Fatal(err)
}
defer f.Close()
w := csv.NewWriter(f)
defer w.Flush()
if err := w.Write([]string{"tokenizer", "band_lo", "band_hi", "size",
"morpheme_types", "type_share", "occurrences", "morpheme_occurrences",
"token_share"}); err != nil {
log.Fatal(err)
}
for _, n := range strings.Split(*list, ",") {
n = strings.TrimSpace(n)
dir := shelf.Item(fmt.Sprintf(*dirs, n))
tok, err := bpe.NewTokenizerFromFiles(
shelf.Abs(dir+"/vocab.json"), shelf.Abs(dir+"/merges.txt"),
bpe.Config{Recover: false})
if err != nil {
log.Fatal(err)
}
vocab := bpe.Vocab(tok)
log.Printf("%s: encoding dictionary over %d sub-words", n, len(vocab))
r, err := frequencies(tok, shelf.Abs(shelf.Item(*dict)))
if err != nil {
log.Fatal(err)
}
edges := parseBands(*bands, len(vocab))
log.Printf("%-6s %10s %9s %9s %11s %9s", n, "band", "types%", "tokens%", "occurrences", "morphs")
for i := 0; i+1 < len(edges); i++ {
lo, hi := edges[i], edges[i+1]
var types, morphTypes, occ, morphOcc int
for id := lo; id < hi && id < len(vocab); id++ {
types++
occ += r[id]
if _, ok := morph[vocab[id]]; ok {
morphTypes++
morphOcc += r[id]
}
}
row := []string{n, strconv.Itoa(lo), strconv.Itoa(hi), strconv.Itoa(types),
strconv.Itoa(morphTypes), share(morphTypes, types),
strconv.Itoa(occ), strconv.Itoa(morphOcc), share(morphOcc, occ)}
if err := w.Write(row); err != nil {
log.Fatal(err)
}
log.Printf("%-6s %10s %8s%% %8s%% %11d %9d", "",
fmt.Sprintf("%d-%d", lo, hi), share(morphTypes, types),
share(morphOcc, occ), occ, morphTypes)
}
w.Flush()
}
log.Printf("wrote %s", *out)
}
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