80,000 words per day or 30 million words per year until it was replaced by a competitor's system on 30 September 2001. While research in the 1960s concentrated on limited language pairs and input, demand in the 1970s was for low-cost systems that could translate a range of technical and commercial documents. This demand was spurred by the increase of globalisation and the demand for translation in Canada, Europe, and Japan. The 1980s and early 1990s By the 1980s, both the diversity and the number of installed systems for machine translation had increased. A number of systems relying on mainframe technology were in use, such as Systran, Logos, Ariane-G5, and Metal. As a result of the improved availability of microcomputers, there was a market for lower-end machine translation systems. Many companies took advantage of this in Europe, Japan, and the USA. Systems were also brought onto the market in China, Eastern Europe, Korea, and the Soviet Union. During the 1980s there was a lot of activity in MT in Japan especially. With the fifth generation computer Japan intended to leap over its competition in computer hardware and software, and one project that many large Japanese electronics firms found themselves involved in was creating software for translating into and from English (Fujitsu, Toshiba, NTT, Brother, Catena, Matsushita, Mitsubishi, Sharp, Sanyo, Hitachi, NEC, Panasonic, Kodensha, Nova, Oki). Research during the 1980s typically relied on translation through some variety of intermediary linguistic representation involving morphological, syntactic, and semantic analysis. At the end of the 1980s, there was a large surge in a number of novel methods for machine translation. One system was developed at IBM that was based on statistical methods. Makoto Nagao and his group used methods based on large numbers of translation examples, a technique that is now termed example-based machine translation. A defining feature of both of these approaches was the neglect of syntactic and semantic rules and reliance instead on the manipulation of large text corpora. During the 1990s, encouraged by successes in speech recognition and speech synthesis, research began into speech translation with the development of the German Verbmobil project. The Forward Area Language Converter (FALCon) system, a machine translation technology designed by the Army Research Laboratory, was fielded 1997 to translate documents for soldiers in Bosnia. There was significant growth in the use of machine translation as a result of the advent of low-cost and more powerful