OCaml HTML5 parser/serialiser based on Python's JustHTML
remove langdetect, separate lib now
+1
-558
-42
lib/langdetect/dune
-42
lib/langdetect/dune
···
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; Profile generator executable - only used during build
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(executable
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(name gen_profiles)
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(modules gen_profiles)
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(libraries unix))
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; Rule to generate all profile modules from JSON data files
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(rule
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(targets
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profile_ar.ml profile_bg.ml profile_bn.ml profile_ca.ml profile_cs.ml
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profile_da.ml profile_de.ml profile_el.ml profile_en.ml profile_es.ml
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profile_et.ml profile_fa.ml profile_fi.ml profile_fr.ml profile_gu.ml
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profile_he.ml profile_hi.ml profile_hr.ml profile_hu.ml profile_id.ml
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profile_it.ml profile_ja.ml profile_ko.ml profile_lt.ml profile_lv.ml
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profile_mk.ml profile_ml.ml profile_nl.ml profile_no.ml profile_pa.ml
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profile_pl.ml profile_pt.ml profile_ro.ml profile_ru.ml profile_si.ml
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profile_sq.ml profile_sv.ml profile_ta.ml profile_te.ml profile_th.ml
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profile_tl.ml profile_tr.ml profile_uk.ml profile_ur.ml profile_vi.ml
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profile_zh_cn.ml profile_zh_tw.ml
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profiles.ml)
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(deps
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(glob_files profiles.sm/*))
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(action
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(run %{exe:gen_profiles.exe} profiles.sm .)))
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(library
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(name langdetect)
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(public_name html5rw.langdetect)
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(libraries unix uutf)
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(modules
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langdetect
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profiles
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profile_ar profile_bg profile_bn profile_ca profile_cs
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profile_da profile_de profile_el profile_en profile_es
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profile_et profile_fa profile_fi profile_fr profile_gu
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profile_he profile_hi profile_hr profile_hu profile_id
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profile_it profile_ja profile_ko profile_lt profile_lv
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profile_mk profile_ml profile_nl profile_no profile_pa
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profile_pl profile_pt profile_ro profile_ru profile_si
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profile_sq profile_sv profile_ta profile_te profile_th
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profile_tl profile_tr profile_uk profile_ur profile_vi
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profile_zh_cn profile_zh_tw))
-144
lib/langdetect/gen_profiles.ml
-144
lib/langdetect/gen_profiles.ml
···
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(* Profile generator - converts JSON language profiles to OCaml module *)
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let read_file path =
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let ic = open_in path in
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let n = in_channel_length ic in
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let s = really_input_string ic n in
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close_in ic;
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s
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(* Simple JSON parser for profile format {"freq": {...}} *)
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let parse_freq_json content =
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(* Find the freq object *)
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let freq_start =
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try String.index content '{' + 1
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with Not_found -> failwith "No opening brace"
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in
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let content = String.sub content freq_start (String.length content - freq_start) in
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(* Skip to inner object *)
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let inner_start =
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try String.index content '{' + 1
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with Not_found -> failwith "No freq object"
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in
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let inner_end =
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try String.rindex content '}'
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with Not_found -> failwith "No closing brace"
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in
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let inner = String.sub content inner_start (inner_end - inner_start) in
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(* Parse key:value pairs *)
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let pairs = ref [] in
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let i = ref 0 in
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let len = String.length inner in
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while !i < len do
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(* Skip whitespace *)
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while !i < len && (inner.[!i] = ' ' || inner.[!i] = '\n' || inner.[!i] = '\r' || inner.[!i] = '\t' || inner.[!i] = ',') do
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incr i
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done;
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if !i >= len then ()
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else begin
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(* Expect quote for key *)
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if inner.[!i] <> '"' then incr i
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else begin
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incr i;
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let key_start = !i in
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(* Find end of key *)
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while !i < len && inner.[!i] <> '"' do
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if inner.[!i] = '\\' then i := !i + 2
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else incr i
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done;
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let key = String.sub inner key_start (!i - key_start) in
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incr i; (* skip closing quote *)
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(* Skip colon *)
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while !i < len && (inner.[!i] = ':' || inner.[!i] = ' ') do incr i done;
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(* Parse number *)
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let num_start = !i in
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while !i < len && inner.[!i] >= '0' && inner.[!i] <= '9' do incr i done;
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let num_str = String.sub inner num_start (!i - num_start) in
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if num_str <> "" then begin
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let num = int_of_string num_str in
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pairs := (key, num) :: !pairs
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end
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end
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end
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done;
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!pairs
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(* Escape string for OCaml, preserving UTF-8 characters *)
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let escape_ocaml_string s =
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let buf = Buffer.create (String.length s * 2) in
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String.iter (fun c ->
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match c with
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| '"' -> Buffer.add_string buf "\\\""
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| '\\' -> Buffer.add_string buf "\\\\"
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| '\n' -> Buffer.add_string buf "\\n"
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| '\r' -> Buffer.add_string buf "\\r"
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| '\t' -> Buffer.add_string buf "\\t"
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| c when Char.code c < 32 ->
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Buffer.add_string buf (Printf.sprintf "\\x%02x" (Char.code c))
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(* Keep all other characters including UTF-8 bytes as-is *)
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| c -> Buffer.add_char buf c
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) s;
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Buffer.contents buf
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let generate_profile_module lang_code pairs =
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let buf = Buffer.create 65536 in
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Buffer.add_string buf "(* Auto-generated language profile - do not edit *)\n\n";
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Buffer.add_string buf (Printf.sprintf "let lang = %S\n\n" lang_code);
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Buffer.add_string buf "let freq = [\n";
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List.iter (fun (ngram, count) ->
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(* Use custom escaping to preserve UTF-8 *)
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Buffer.add_string buf (Printf.sprintf " (\"%s\", %d);\n" (escape_ocaml_string ngram) count)
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) (List.rev pairs);
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Buffer.add_string buf "]\n";
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Buffer.contents buf
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let () =
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if Array.length Sys.argv < 3 then begin
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Printf.eprintf "Usage: %s <profiles_dir> <output_dir>\n" Sys.argv.(0);
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exit 1
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end;
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let profiles_dir = Sys.argv.(1) in
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let output_dir = Sys.argv.(2) in
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(* Process each profile *)
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let entries = Sys.readdir profiles_dir in
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let lang_codes = ref [] in
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Array.iter (fun entry ->
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let path = Filename.concat profiles_dir entry in
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if Sys.is_directory path then ()
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else begin
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try
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let content = read_file path in
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let pairs = parse_freq_json content in
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let lang_code =
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(* Normalize lang code: zh-cn -> zh_cn *)
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String.map (fun c -> if c = '-' then '_' else c) entry
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in
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let ml_content = generate_profile_module entry pairs in
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let out_path = Filename.concat output_dir (Printf.sprintf "profile_%s.ml" lang_code) in
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let oc = open_out out_path in
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output_string oc ml_content;
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close_out oc;
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lang_codes := (entry, lang_code) :: !lang_codes
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with e ->
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Printf.eprintf "Error processing %s: %s\n%!" entry (Printexc.to_string e);
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exit 1
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end
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) entries;
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(* Sort language codes for deterministic output *)
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let sorted_codes = List.sort (fun (a, _) (b, _) -> String.compare a b) !lang_codes in
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(* Generate profiles index module *)
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let index_path = Filename.concat output_dir "profiles.ml" in
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let oc = open_out index_path in
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Printf.fprintf oc "(* Auto-generated profiles index - do not edit *)\n\n";
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Printf.fprintf oc "let all_profiles = [\n";
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List.iter (fun (orig_code, ml_code) ->
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Printf.fprintf oc " (%S, Profile_%s.freq);\n" orig_code ml_code
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) sorted_codes;
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Printf.fprintf oc "]\n";
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close_out oc
-277
lib/langdetect/langdetect.ml
-277
lib/langdetect/langdetect.ml
···
1
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(** Language detection library based on n-gram frequency analysis.
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This is an OCaml port of the Cybozu langdetect algorithm. *)
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module StringMap = Map.Make(String)
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(** Language detection result *)
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type result = {
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lang: string;
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prob: float;
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}
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(** Detection parameters *)
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type config = {
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alpha: float; (** Smoothing parameter (default 0.5) *)
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n_trial: int; (** Number of random trials (default 7) *)
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max_text_length: int; (** Maximum text length to process *)
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conv_threshold: float; (** Convergence threshold *)
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prob_threshold: float; (** Minimum probability to report *)
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}
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let default_config = {
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alpha = 0.5;
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n_trial = 7;
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max_text_length = 10000;
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conv_threshold = 0.99999;
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prob_threshold = 0.1;
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}
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(** N-gram extraction parameters *)
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let n_gram_max = 3
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let base_freq = 10000
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let iteration_limit = 1000
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let alpha_width = 0.05
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(** Detector state *)
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type t = {
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config: config;
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(* Map from n-gram -> array of probabilities per language *)
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word_lang_prob: float array StringMap.t;
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(* List of language codes *)
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lang_list: string array;
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(* Random seed for reproducibility *)
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mutable seed: int option;
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}
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(** Normalize a Unicode code point for n-gram extraction *)
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let normalize_uchar uchar =
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let code = Uchar.to_int uchar in
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(* Basic Latin: keep only letters *)
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if code < 128 then begin
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let c = Char.chr code in
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if (c >= 'A' && c <= 'Z') || (c >= 'a' && c <= 'z') then
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Some (String.make 1 c)
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else
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None (* Treat as space/separator *)
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end
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else begin
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(* Keep non-ASCII characters as-is *)
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let buf = Buffer.create 4 in
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Buffer.add_utf_8_uchar buf uchar;
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Some (Buffer.contents buf)
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end
64
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(** Extract n-grams from UTF-8 text.
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N-grams are sequences of 1-3 Unicode characters. *)
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let extract_ngrams ?(max_len=10000) text word_lang_prob =
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let ngrams = ref [] in
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(* Buffer stores up to 3 most recent character strings *)
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let char_buffer = Array.make n_gram_max "" in
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let char_count = ref 0 in
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let processed = ref 0 in
73
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(* Process each UTF-8 character *)
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let decoder = Uutf.decoder ~encoding:`UTF_8 (`String text) in
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let rec process () =
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if !processed >= max_len then ()
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else match Uutf.decode decoder with
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| `Await -> () (* String source never awaits *)
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| `End -> ()
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| `Malformed _ -> process () (* Skip malformed sequences *)
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| `Uchar uchar ->
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incr processed;
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match normalize_uchar uchar with
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| None ->
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(* Separator - reset buffer *)
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char_buffer.(0) <- "";
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char_buffer.(1) <- "";
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char_buffer.(2) <- "";
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char_count := 0;
91
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process ()
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| Some char_str ->
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(* Shift buffer left and add new char *)
94
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char_buffer.(0) <- char_buffer.(1);
95
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char_buffer.(1) <- char_buffer.(2);
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char_buffer.(2) <- char_str;
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incr char_count;
98
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(* Extract 1, 2, 3 grams based on how many chars we have *)
100
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let available = min !char_count n_gram_max in
101
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for n = 1 to available do
102
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let ngram =
103
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let start_idx = n_gram_max - n in
104
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let parts = ref [] in
105
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for i = start_idx to n_gram_max - 1 do
106
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parts := char_buffer.(i) :: !parts
107
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done;
108
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String.concat "" (List.rev !parts)
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in
110
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if StringMap.mem ngram word_lang_prob then
111
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ngrams := ngram :: !ngrams
112
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done;
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process ()
114
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in
115
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process ();
116
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Array.of_list (List.rev !ngrams)
117
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118
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(** Initialize uniform probability distribution *)
119
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let init_prob n_langs =
120
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let prob = Array.make n_langs (1.0 /. float_of_int n_langs) in
121
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prob
122
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123
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(** Update language probabilities with an n-gram *)
124
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let update_lang_prob prob ngram word_lang_prob alpha =
125
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match StringMap.find_opt ngram word_lang_prob with
126
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| None -> false
127
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| Some lang_prob_map ->
128
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let weight = alpha /. float_of_int base_freq in
129
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for i = 0 to Array.length prob - 1 do
130
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prob.(i) <- prob.(i) *. (weight +. lang_prob_map.(i))
131
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done;
132
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true
133
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134
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(** Normalize probabilities and return max *)
135
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let normalize_prob prob =
136
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let sum = Array.fold_left (+.) 0.0 prob in
137
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if sum <= 0.0 then 0.0
138
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else begin
139
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let max_p = ref 0.0 in
140
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for i = 0 to Array.length prob - 1 do
141
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prob.(i) <- prob.(i) /. sum;
142
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if prob.(i) > !max_p then max_p := prob.(i)
143
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done;
144
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!max_p
145
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end
146
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147
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(** Simple pseudo-random number generator *)
148
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let random_state = ref 12345
149
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150
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let set_seed seed =
151
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random_state := seed
152
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153
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let next_random () =
154
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random_state := (!random_state * 1103515245 + 12345) land 0x7FFFFFFF;
155
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!random_state
156
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157
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let random_int bound =
158
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(next_random ()) mod bound
159
-
160
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let random_gaussian () =
161
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(* Box-Muller transform approximation *)
162
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let u1 = (float_of_int (next_random ())) /. float_of_int 0x7FFFFFFF in
163
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let u2 = (float_of_int (next_random ())) /. float_of_int 0x7FFFFFFF in
164
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let u1 = max 0.0001 u1 in (* Avoid log(0) *)
165
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sqrt (-2.0 *. log u1) *. cos (2.0 *. Float.pi *. u2)
166
-
167
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(** Run detection on extracted n-grams *)
168
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let detect_block t ngrams =
169
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let n_langs = Array.length t.lang_list in
170
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if n_langs = 0 || Array.length ngrams = 0 then [||]
171
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else begin
172
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let lang_prob = Array.make n_langs 0.0 in
173
-
174
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(* Set seed if specified *)
175
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(match t.seed with
176
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| Some s -> set_seed s
177
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| None -> set_seed (int_of_float (Unix.gettimeofday () *. 1000.0)));
178
-
179
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for _ = 0 to t.config.n_trial - 1 do
180
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let prob = init_prob n_langs in
181
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let alpha = t.config.alpha +. random_gaussian () *. alpha_width in
182
-
183
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let converged = ref false in
184
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let i = ref 0 in
185
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while not !converged && !i < iteration_limit do
186
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let r = random_int (Array.length ngrams) in
187
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let _ = update_lang_prob prob ngrams.(r) t.word_lang_prob alpha in
188
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if !i mod 5 = 0 then begin
189
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let max_p = normalize_prob prob in
190
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if max_p > t.config.conv_threshold then converged := true
191
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end;
192
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incr i
193
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done;
194
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195
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(* Accumulate probabilities *)
196
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for j = 0 to n_langs - 1 do
197
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lang_prob.(j) <- lang_prob.(j) +. prob.(j) /. float_of_int t.config.n_trial
198
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done
199
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done;
200
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201
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lang_prob
202
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end
203
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204
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(** Create detector from profiles *)
205
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let create ?(config=default_config) profiles =
206
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let lang_list = Array.of_list (List.map fst profiles) in
207
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let n_langs = Array.length lang_list in
208
-
209
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(* Build word -> lang prob map *)
210
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(* First, collect all unique n-grams and their frequencies per language *)
211
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let all_ngrams = Hashtbl.create 65536 in
212
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let lang_totals = Array.make n_langs 0 in
213
-
214
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List.iteri (fun lang_idx (_, freq_list) ->
215
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List.iter (fun (ngram, count) ->
216
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let current =
217
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match Hashtbl.find_opt all_ngrams ngram with
218
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| Some arr -> arr
219
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| None ->
220
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let arr = Array.make n_langs 0 in
221
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Hashtbl.add all_ngrams ngram arr;
222
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arr
223
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in
224
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current.(lang_idx) <- count;
225
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lang_totals.(lang_idx) <- lang_totals.(lang_idx) + count
226
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) freq_list
227
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) profiles;
228
-
229
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(* Convert to probability map *)
230
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let word_lang_prob =
231
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Hashtbl.fold (fun ngram counts acc ->
232
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(* Compute probability for each language *)
233
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let probs = Array.make n_langs 0.0 in
234
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for i = 0 to n_langs - 1 do
235
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if lang_totals.(i) > 0 then
236
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probs.(i) <- float_of_int counts.(i) /. float_of_int lang_totals.(i)
237
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done;
238
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StringMap.add ngram probs acc
239
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) all_ngrams StringMap.empty
240
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in
241
-
242
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{ config; word_lang_prob; lang_list; seed = None }
243
-
244
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(** Set random seed for reproducibility *)
245
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let set_random_seed t seed =
246
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t.seed <- Some seed
247
-
248
-
(** Detect language of text *)
249
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let detect t text =
250
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let ngrams = extract_ngrams ~max_len:t.config.max_text_length text t.word_lang_prob in
251
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if Array.length ngrams = 0 then []
252
-
else begin
253
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let probs = detect_block t ngrams in
254
-
(* Sort by probability descending *)
255
-
let results = ref [] in
256
-
for i = 0 to Array.length probs - 1 do
257
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if probs.(i) > t.config.prob_threshold then
258
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results := { lang = t.lang_list.(i); prob = probs.(i) } :: !results
259
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done;
260
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List.sort (fun a b -> compare b.prob a.prob) !results
261
-
end
262
-
263
-
(** Get best language or None *)
264
-
let detect_best t text =
265
-
match detect t text with
266
-
| [] -> None
267
-
| best :: _ -> Some best.lang
268
-
269
-
(** Get best language with probability *)
270
-
let detect_with_prob t text =
271
-
match detect t text with
272
-
| [] -> None
273
-
| best :: _ -> Some (best.lang, best.prob)
274
-
275
-
(** Create a detector with all built-in profiles *)
276
-
let create_default ?config () =
277
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create ?config Profiles.all_profiles
-47
lib/langdetect/langdetect.mli
-47
lib/langdetect/langdetect.mli
···
1
-
(** Language detection library based on n-gram frequency analysis. *)
2
-
3
-
(** Language detection result *)
4
-
type result = {
5
-
lang: string;
6
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prob: float;
7
-
}
8
-
9
-
(** Detection parameters *)
10
-
type config = {
11
-
alpha: float; (** Smoothing parameter (default 0.5) *)
12
-
n_trial: int; (** Number of random trials (default 7) *)
13
-
max_text_length: int; (** Maximum text length to process *)
14
-
conv_threshold: float; (** Convergence threshold *)
15
-
prob_threshold: float; (** Minimum probability to report *)
16
-
}
17
-
18
-
(** Default configuration *)
19
-
val default_config : config
20
-
21
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(** Detector state *)
22
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type t
23
-
24
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(** Create detector from language profiles.
25
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Each profile is (lang_code, frequency_list) where frequency_list is
26
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a list of (ngram, count) pairs. *)
27
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val create : ?config:config -> (string * (string * int) list) list -> t
28
-
29
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(** Set random seed for reproducible results *)
30
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val set_random_seed : t -> int -> unit
31
-
32
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(** Detect language of text.
33
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Returns list of possible languages with probabilities, sorted by
34
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probability descending. Only languages above prob_threshold are included. *)
35
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val detect : t -> string -> result list
36
-
37
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(** Detect best matching language.
38
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Returns None if no language could be detected. *)
39
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val detect_best : t -> string -> string option
40
-
41
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(** Detect best matching language with its probability.
42
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Returns None if no language could be detected. *)
43
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val detect_with_prob : t -> string -> (string * float) option
44
-
45
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(** Create a detector with all built-in language profiles.
46
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This is a convenience function that calls create with all supported profiles. *)
47
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val create_default : ?config:config -> unit -> t
-1
lib/langdetect/profiles.sm/ar
-1
lib/langdetect/profiles.sm/ar
···
1
-
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