Nlekọta nlebara anya

Free.ai Nlekọta Ngụgụ Agụgụ na-elekọta ngwe ahụ ma na-eziga 6 standard readingability scores: Flesch Reading Ease, Flesch-Kincaid Grade, Gunning Fog Index, SMOG Index, Automated Readability Index (ARI), na Coleman-Liau. Plus average sentence length, average syllables per word, complex-word count, and per-sentence difficulty highlighting. 100% browser-side - zero server calls, zero tokens used, text never leaves your device.

Hemingway Editor bụ $ 19.99 otu oge desktọọpụ ngwa na 4 grade bands. Readable.com bụ $ 4- $ 48 / mo maka batch analysis. WebFX nwere ihe nlereanya n'efu na Flesch + FK. Grammarly Premium ($ 12 / mo) na-egosi nghọta n'ime onye nchịkọta akụkọ ya. Free.ai bụ n'efu, zero sign-up, ships 6 readability formulas (ọtụtụ karịa ndị na-agba ọsọ niile), na-agba ọsọ n'ime-browser - ngwe gị anaghị enweta sava. Anyị na-ejikọtakwa na /text/simplifier/ maka otu-click rewrites mgbe ihe ngosi ahụ dị elu.

Formụlụ ọbụla na-echekwa ihe dị iche iche. Flesch Reading Ease (0-100, elu = mfe) bụ classic maka ihenhọrọ niile. Flesch-Kincaid Grade Level bụ US-school aligned. Gunning Fog na-egosipụta okwu dị mfe (3+ syllables). SMOG e mepụtara maka akwụkwọ ọgwụ. ARI na-eji akara ọnụọgụgụ na-enweghị syllables. Coleman-Liau dị ka nke ahụ. Oge n'etiti 5 grade-level formulas niile bụ n'ihe a na-atụ anya kasị ike - anyị na-egosi ya na verdict.

Nwa blind spots: (1) A na-ahazi nsogbu okwuokwu site na silaba - okwu n'oge na-adịghị anya ma ọ bụ nke dị n'oge ("quaff") na-abịakwute n'ụzọ dị mfe karịa okwu ogologo ma ọ bụ nke a na-ejikarị ("applikasiọ̀ọ̀"), nke bụ n'ụzọ na-aga n'ihu. (2) A na-ahazi nsogbu okwuokwu na-enweghị oge - okwu n'oge na-adịbeghị anya ma ọ bụ nke dị ogologo nwere ike ịbịarute n'ụzọ dị mfe karịa okwu n'oge na-adịghị anya ma ọ bụ nke na-abịarute n'ụzọ na-abịarute. (3) A na-ahazi nsogbu ihe a na-abịarute n'ụzọ na-adịghị anya na-enweghị ihe a na-ahụ anya na fomulụ ndị a. (4) Fomulụ niile a na-ahazi na nsụgharị Bekee - ihe a na-ahazi na-abịarute n'ụzọ na-adịghị anya.

Ọdịiche dị iche iche na-ewere n'ihe ngosi. Flesch-Kincaid na Gunning Fog na-akọ n'ime 1 n'ime n'ihe ngosi maka n'ihe ngosi. SMOG na-akọ n'ime 1-2 n'ime ihe ngosi dị elu na ngwe akọwapụtara (ọ na-eweta ihe ngosi nke okwu dị mfe na-abawanye). ARI na Coleman-Liau na-eji ọnụọgụgụ akara n'ebe silabs nọ, ya mere ha na-eweta ihe ngosi dị iche iche na okwu dị ogologo ma ọ bụ dị n'ime. Average ha maka n'ihe ngosi dị ike; trust agreement across 4+ formulas as a strong signal.

Na-adabere n'ihe ndị mmadụ na-ekwu. Ndị mmadụ n'ozuzu ha: 8th grade (newspaper register). Mass-market blog ma ọ bụ ndị ahịa ọdịnaya: 6th-8th. Professional business / B2B: 9th-12th. Academic / technical: 13th + (college). US regulatory guidance recommends 7th-8th grade for public-facing documents. Plain-language laws (UK, Australia, US federal) require 8th grade or below.

Na-ehazi Flesch-Kincaid n'ihi okwu ọbụla, mgbe ahụ na-egosi elu 20% nke kasị njọ. Ọ bara uru maka ebe-editing - gbanwee okwu ndị a na-egosi n'ime nsụgharị dị obere/n'ụzọ dị mfe nakwa n'ihi na n'ozuzu gị n'akụda mmụọ. Hemingway Editor's famous feature, now free and client-side.

I nwere ike ikpa ngwe na-abụghị nke English nakwa ijikwa ihenhọrọ, ma ọ bụ na-ehazi usoroiheomume na English ka ihenhọrọ ahụ ga-echekwa dịka n'ụdị n'ụdị. Maka Spanish, usoroiheomume Fernández-Huerta ga-adị n'ụzọ ziri ezi (agaghị etinye ya ebe a). Maka German, Amstad mọọbụ Wiener Sachtextformel. Maka faịlụ ndị dị n'asụsụ abụọ, wepụta ha n'asụsụ otu ma kọwaa ha n'otu.

Ọ dịghị - ihe niile na-arụ ọrụ na mbinyefētāábūógụ̀ gị. Enweghị ihe a na-eziga na sava ọbụla. I nwere ike inyocha nke a na mbinyefétáàbù gị táàbụ̀ Netwọ́ọkụ: enweghị́ ihe achọrọ POST na-adọkpụ mgbe ị na-eji nlekọta nghọta. Ọ dị mma maka ngwe n'ime onwe mọọbụ ngwe nke onwe.

Ọ dịghị. Zero tokens, zero server calls. Free kpam kpam, enweghị n'iji ya, enweghị n'ịbanye achọrọ.

Anyị na-eji emeredịkachọrọ heuristic syllable counter (dị ka ụzọ dị ka ọtụtụ readability libraries) nke na-elekọta ~95% nke okwu English n'ụzọ ziri ezi. Edge cases: silent E, compound words, proper nouns, loanwords. Maka nchọpụta-ụdị n'ụzọ ziri ezi ị ga-achọ okwuokwu nsụgharị (CMU ma ọ bụ dị ka ya) - anyị bụ nke dị mma maka ojiji dị mfe.

Otuto ahụ bụ klaasị-akụkụ - enweghị ebe ngwụcha sava. Ọ bụrụ na ịchọrọ nlekọta nghọta program, ụkpụrụ Python laịibrọfaịlụ "textstat" na-eweta fomulụ ndị ahụ. Kóòdù JS anyị nwere ike ịhụ ya n'ihuakwụkwọ ọbjektị ma ọ bụrụ na ịchọrọ ịbanye ya.