fails with agglutinative languages, where a single word does not necessarily represent a single semantic entity. Companies and products Predictive text is developed and marketed in a variety of competing products, such as Nuance Communications's T9. Other products include Motorola's iTap, Eatoni Ergonomic's LetterWise (character, rather than word-based prediction), WordWise (word-based prediction without a dictionary), EQ3 (a QWERTY-like layout compatible with regular telephone keypads); Prevalent Devices's Phraze-It; Xrgomics' TenGO (a six-key reduced QWERTY keyboard system); Adaptxt (considers language, context, grammar and semantics); Lightkey (a predictive typing software for Windows); Clevertexting (statistical nature of the language, dictionaryless, dynamic key allocation); and Oizea Type (temporal ambiguity); Intelab's Tauto; WordLogic's Intelligent Input Platform™ (patented, layer-based advanced text prediction, includes multi-language dictionary, spell-check, built-in Web search). Textonyms Words produced by the same combination of keypresses have been called "textonyms"; also "txtonyms"; or "T9onyms" (pronounced "tynonyms" ), though they are not specific to T9. Selecting the wrong textonym can occur with no misspelling or typo, if the wrong textonym is selected by default or user error. As mentioned above, the key sequence 4663 on a telephone keypad, provided with a linguistic database in English, will generally be disambiguated as the word good. However, the same key sequence also corresponds to other words, such as home, gone, hoof, hood and so on. For example, "Are you home?" could be rendered as "Are you good?" if the user neglects to alter the default 4663 word. This can lead to misunderstandings; for example sequence 735328 might correspond to either select or its antonym reject. A 2010 brawl that led to manslaughter was sparked by a textonym error. Predictive text choosing a default different from that which the user expects has similarities with the Cupertino effect, by which spell-check software changes a spelling to that of an unintended word. Textonyms have been used as Millennial slang; for example, the use of the word book to mean cool, since book is the default in those predictive text systems that assume it is more frequent than cool. This is related to cacography. Disambiguation failure and misspelling Textonyms are not the only issue limiting the effectiveness of predictive text implementations. Another significant problem are words for which the disambiguation produces a single, incorrect response. The system may, for example, respond with Blairf upon input of 252473, when the intended word was Blaise or Claire, both of which correspond to the keystroke sequence,