Ambiguity is a type of meaning in which a phrase, statement or resolution is not explicitly defined, making several interpretations plausible. A common aspect of ambiguity is uncertainty, it is thus an attribute of any idea or statement whose intended meaning cannot be definitively resolved according to a rule or process with a finite number of steps. The concept of ambiguity is contrasted with vagueness. In ambiguity and distinct interpretations are permitted, whereas with information, vague, it is difficult to form any interpretation at the desired level of specificity. Context may play a role in resolving ambiguity. For example, the same piece of information may be ambiguous in one context and unambiguous in another. Lexical ambiguity is contrasted with semantic ambiguity; the former represents a choice between a finite number of known and meaningful context-dependent interpretations. The latter represents a choice between any number of possible interpretations, none of which may have a standard agreed-upon meaning.

This form of ambiguity is related to vagueness. Linguistic ambiguity can be a problem in law, because the interpretation of written documents and oral agreements is of paramount importance; the lexical ambiguity of a word or phrase pertains to its having more than one meaning in the language to which the word belongs. "Meaning" here refers to. For instance, the word "bank" has several distinct lexical definitions, including "financial institution" and "edge of a river". Or consider "apothecary". One could say "I bought herbs from the apothecary"; this could mean one spoke to the apothecary or went to the apothecary. The context in which an ambiguous word is used makes it evident which of the meanings is intended. If, for instance, someone says "I buried $100 in the bank", most people would not think someone used a shovel to dig in the mud. However, some linguistic contexts do not provide sufficient information to disambiguate a used word. Lexical ambiguity can be addressed by algorithmic methods that automatically associate the appropriate meaning with a word in context, a task referred to as word sense disambiguation.

The use of multi-defined words requires the author or speaker to clarify their context, sometimes elaborate on their specific intended meaning. The goal of clear concise communication is that the receiver have no misunderstanding about what was meant to be conveyed. An exception to this could include a politician whose "weasel words" and obfuscation are necessary to gain support from multiple constituents with mutually exclusive conflicting desires from their candidate of choice. Ambiguity is a powerful tool of political science. More problematic are words whose senses express related concepts. "Good", for example, can mean "useful" or "functional", "exemplary", "pleasing", "moral", "righteous", etc. I have a good daughter"; the various ways to apply prefixes and suffixes can create ambiguity. Semantic ambiguity occurs when a word, phrase or sentence, taken out of context, has more than one interpretation. In "We saw her duck", the words "her duck" can refer either to the person's bird, or to a motion she made.

Syntactic ambiguity arises when a sentence can have two different meanings because of the structure of the sentence—its syntax. This is due to a modifying expression, such as a prepositional phrase, the application of, unclear. "He ate the cookies on the couch", for example, could mean that he ate those cookies that were on the couch, or it could mean that he was sitting on the couch when he ate the cookies. "To get in, you will need an entrance fee of $10 or your voucher and your drivers' license." This could mean that you need EITHER ten dollars OR BOTH your license. Or it could mean that you need you need EITHER ten dollars OR a voucher. Only rewriting the sentence, or placing appropriate punctuation can resolve a syntactic ambiguity. For the notion of, theoretic results about, syntactic ambiguity in artificial, formal languages, see Ambiguous grammar. Semantic and syntactic ambiguity go hand in hand; the sentence "We saw her duck" is syntactically ambiguous. Conversely, a sentence like "He ate the cookies on the couch" is semantically ambiguous.

But the different parsings of a syntactically ambiguous phrase result in the same meaning. For example, the command "Cook, cook!" can be parsed as "Cook, cook!", but as "Cook, cook!". It is more common. Spoken language can contain many more types of ambiguities which are called phonological ambiguities, where there is more than one way to compose a set of sounds into words. For example, "ice cream" and "I scream"; such ambiguity is resolved acc

Client-side refers to operations that are performed by the client in a client–server relationship in a computer network. A client is a computer application, such as a web browser, that runs on a user's local computer, smartphone, or other device, connects to a server as necessary. Operations may be performed client-side because they require access to information or functionality, available on the client but not on the server, because the user needs to observe the operations or provide input, or because the server lacks the processing power to perform the operations in a timely manner for all of the clients it serves. Additionally, if operations can be performed by the client, without sending data over the network, they may take less time, use less bandwidth, incur a lesser security risk; when the server serves data in a used manner, for example according to standard protocols such as HTTP or FTP, users may have their choice of a number of client programs. In the case of more specialized applications, programmers may write their own server and communications protocol which can only be used with one another.

Programs that run on a user's local computer without sending or receiving data over a network are not considered clients, so the operations of such programs would not be termed client-side operations. In a computer security context, client-side vulnerabilities or attacks refer to those that occur on the client / user's computer system, rather than on the server side, or in between the two; as an example, if a server contained an encrypted file or message which could only be decrypted using a key housed on the user's computer system, a client-side attack would be an attacker's only opportunity to gain access to the decrypted contents. For instance, the attacker might cause malware to be installed on the client system which allowed the attacker to view the user's screen, record the user's keystrokes, steal copies of the user's encryption keys, etc. Alternatively, an attacker might employ cross-site scripting vulnerabilities in order to execute malicious code on the client's system without needing to install any permanently resident malware.

Distributed computing projects such as SETI@home and the Great Internet Mersenne Prime Search, as well as Internet-dependent applications like Google Earth, rely on client-side operations. They initiate a connection with the server, request some data; the server selects a data sends it back to the client. The client analyzes the data, when the analysis is complete, displays it to the user and/or transmits the results of calculations back to the server. In the context of the World Wide Web encountered computer languages which are evaluated or run on the client side include: Cascading Style Sheets HTML JavaScript Client-side prediction Server-side

Carl Strong is a former U. S. soccer midfielder. Strong grew up in Virginia. After graduating from Annandale in 1976, he entered James Madison University, he was the 1978 Virginia Intercollegiate Player of the Year. Strong began his professional career in 1978 with the expansion Colorado Caribous of the North American Soccer League; the Caribous moved to Atlanta where the team was renamed the Atlanta Chiefs between the 1978 and 1979 season. Strong became a regular with the Chiefs, seeing time in twenty-five games in 1979, twenty-eight in 1980 and thirty-two in 1981; the Chiefs folded at the end of the season and on September 22, 1981, the Portland Timbers purchased his contract from the Chiefs. In 1982, Strong saw limited action for the Timbers. On October 26, 1982, the Fort Lauderdale Strikers selected Strong in the dispersal draft after the Timbers folded, he first appeared as a member of the Strikers in the winter of 1983 during the NASL's Indoor Grand Prix. At about that same time he was an invitee to the Team America try-outs, but did not make the squad.

He saw time in only six outdoor games with the Strikers. However, the Strikers moved to Minnesota before the 1984 season and Strong played in twenty-one games that year; the NASL folded at the end of the 1984 season and Strong moved to the South Florida Sun of the United Soccer League. However, he broke his leg during the pre-season; the league collapsed after Strong never saw playing time with the Sun. Strong now coaches the Pequannock Township High School varsity boys' soccer team in New Jersey. Notable players of the 2007 graduating class, who were captains, include Jessie Puzio, Steven Cardinali, Ken McHugh, he is a Physical Education teacher at the high school. Strong's son, played soccer for West Morris Mendham High School and is playing at University of Louisville. Timbers fan page with photo NASL stats