18. The system of claim 11 , wherein each context comprises no stopwords.
11. A system for identifying phrasal terms, the system comprising: a processor; and a processor-readable storage medium in communication with the processor, wherein the processor-readable storage medium contains one or more programming instructions for performing a method of determining lexical association for phrasal terms, the method comprising: receiving a text having a plurality of words; determining, via the processor, a plurality of contexts, 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 length of a different number of words; for each context, determining, via the processor, a first frequency based on a number of occurrences of the context within the text; assigning, via the processor, a first rank to at least one context based on the first frequency for the at least one context; determining multiple word-context pairs, and for each word-context pair, determining, via the processor, a second frequency based on a number of occurrences of the word associated with the word-context pair being used in the context; assigning, via the processor, a second rank to at least one word-context pair based on the second frequency for the at least one word-context pair; determining, via the processor, a rank ratio for each word-context pair equal to the first rank divided by the second rank; determining, via the processor, a mutual rank ratio based on multiple rank ratios, the multiple rank ratios including rank ratios associated with contexts of differing lengths; normalizing, via the processor, the mutual rank ratio to account for the contexts of differing lengths; and identifying a phrasal term using the mutual rank ratio, the phrasal term being a multiword unit of a vocabulary.