4.8
69 条评分
★★★★★
2026年1月12日
2013年10月15日
更新内容
v4.4New Features • Thai voice selector — Choose your preferred Thai text-to-speech voice directly in the app. • Disable romanization — Option to turn off all romanization systems entirely. • Swipe hints for senses — Visual cues when navigating between multiple word senses. Improvements • Eliminated duplicate "clear" button in search. • Better handling of mislabeled dictionary entries. Bug Fixes • Fixed bookmark date persistence issue. • Fixed view layout issues.
应用信息
- 开发者
- Christian Rishøj
- 分类
- Reference
- 价格
- 免费
- 版本
- 4.4
- App ID
- 707246890
简介
The comprehensive resource of thai-language.com is now available for learners of the Thai language as an app, providing instantaneous and offline access to over 79,000 high-quality Thai-English dictionary entries. • Learn English definitions for Thai words and phrases. • Access dictionary content currently not available in any other iOS app, all hand-crafted with learners of the Thai language in mind. • Search using either English, ภาษาไทย (Thai) or romanized spellings (like "sawasdee" and "sawat dee"). • Get word pronunciations with any of the built-in transliteration and romanization methods. • Learn new vocabulary by browsing categories. • Understand how phrasal expression are composed. • See antonyms, synonyms and alternative spellings. • Swipe sideways to flip through the different senses of ambiguous Thai words. • Find example uses and sentences. • Listen to audio pronunciation (automatic text-to-speech). • Organize words in personal bookmark collections. • Export bookmark collections as TSV, for use with flashcard apps. • Choose to view Thai entries using traditional or modern typefaces. Have the app automatically transliterate Thai script according to your preferences. Built-in methods include: • kâo-něeo (Bua Luang) • kâao nǐao (Paiboon by Benjawan P. Becker) • khao niao (Royal Thai General System) • ค่าว-เหฺนียว (Phonemic Thai) • IPA (International Phonetic Alphabet)
下载量预测
预估总下载量
23
低 / 月
33
预估 / 月
64
高 / 月
基于评分数量 ÷ 类别评分率估算,实际下载量误差可达 ±50%,与 Sensor Tower 方法一致。
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