1. A computer-implemented method for identifying phrasal terms, the method comprising: receiving a text having a plurality of words using a processor; determining a plurality of contexts using the processor, wherein a context comprises one or more words proximate to another word in the text, the plurality of contexts including contexts with differing lengths, wherein some of the contexts have a length of a number of words and some other contexts have a different length of a different number of words; for each context, determining a first frequency using the processor based on a number of occurrences of the context within the text; assigning a first rank to at least one context using the processor based on the first frequency for the at least one context; determining multiple word-context pairs using the processor and, for each word-context pair, determining a second frequency using the processor based on a number of occurrences of the word associated with the word-context pair being used in the context; assigning a second rank to at least one word-context pair using the processor based on the second frequency for the at least one word-context pair; determining a rank ratio for each word-context pair equal to the first rank divided by the second rank using the processor; determining a mutual rank ratio using the processor based on multiple rank ratios, the multiple rank ratios including rank ratios associated with contexts of differing lengths; normalizing the mutual rank ratio to account for the contexts of differing lengths using the processor; and identifying a phrasal term using the mutual rank ratio using the processor, the phrasal term being a multiword unit of a vocabulary.